On the public citation graph
A Survey on Voice Assistant Security: Attacks and Countermeasures
0 signed · 226 inferred · view as graph
Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
Is this your work? Sign in with ORCID and put your name on the
claims that are yours.
Reference health. See whether every reference in this work resolves to a
known work and none has been retracted — and get a dated CiteStamped
badge you can embed.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11554028_3openalex-snapshot
Testing Voice Mimicry with the YOHO Speaker Verification Corpus
inferredcites →https://doi.org/10.1007/978-3-030-60276-5_3openalex-snapshot
MP3 Compression to Diminish Adversarial Noise in End-to-End Speech Recognition
inferredcites →https://doi.org/10.1007/978-3-319-07974-5_2openalex-snapshot
Principles of Psychoacoustics
inferredcites →https://doi.org/10.1007/978-3-540-74695-9_23openalex-snapshot
An Application of Recurrent Neural Networks to Discriminative Keyword Spotting
inferredcites →https://doi.org/10.1007/978-3-642-19530-3_25openalex-snapshot
Detecting Replay Attacks from Far-Field Recordings on Speaker Verification Systems
inferredcites →https://doi.org/10.1007/978-3-662-04230-4openalex-snapshot
Verbmobil: Foundations of Speech-to-Speech Translation
inferredcites →https://doi.org/10.1007/978-981-15-9129-7_31openalex-snapshot
Adversarial Examples Attack and Countermeasure for Speech Recognition System: A Survey
inferredcites →https://doi.org/10.1007/s00034-017-0639-xopenalex-snapshot
Part-Syllable Transformation-Based Voice Conversion with Very Limited Training Data
inferredcites →https://doi.org/10.1016/0167-6393(95)00009-dopenalex-snapshot
Speaker identification and verification using Gaussian mixture speaker models
inferredcites →https://doi.org/10.1016/j.neucom.2020.02.110openalex-snapshot
INOR—An Intelligent noise reduction method to defend against adversarial audio examples
inferredcites →https://doi.org/10.1016/j.specom.2009.04.004openalex-snapshot
Statistical parametric speech synthesis
inferredcites →https://doi.org/10.1016/j.specom.2009.08.009openalex-snapshot
An overview of text-independent speaker recognition: From features to supervectors
inferredcites →https://doi.org/10.1016/j.specom.2014.10.005openalex-snapshot
Spoofing and countermeasures for speaker verification: A survey
inferredcites →https://doi.org/10.1016/j.specom.2014.12.004openalex-snapshot
Voice conversion based on feature combination with limited training data
inferredcites →https://doi.org/10.1016/j.specom.2017.01.008openalex-snapshot
An overview of voice conversion systems
inferredcites →https://doi.org/10.1049/ep.1979.0173openalex-snapshot
Digital Processing of Speech Signals
inferredcites →https://doi.org/10.1080/02564602.2015.1010611openalex-snapshot
Machine Learning in Automatic Speech Recognition: A Survey
inferredcites →https://doi.org/10.1109/access.2017.2747626openalex-snapshot
Monkey Says, Monkey Does: Security and Privacy on Voice Assistants
inferredcites →https://doi.org/10.1109/access.2019.2945791openalex-snapshot
Using AI to Attack VA: A Stealthy Spyware Against Voice Assistances in Smart Phones
inferredcites →https://doi.org/10.1109/access.2020.2974290openalex-snapshot
A New Replay Attack Against Automatic Speaker Verification Systems
inferredcites →https://doi.org/10.1109/access.2020.2985231openalex-snapshot
MultiPAD: A Multivariant Partition-Based Method for Audio Adversarial Examples Detection
inferredcites →https://doi.org/10.1109/access.2020.3006130openalex-snapshot
Targeted Speech Adversarial Example Generation With Generative Adversarial Network
inferredcites →https://doi.org/10.1109/apsipa.2014.7041636openalex-snapshot
A study on replay attack and anti-spoofing for text-dependent speaker verification
inferredcites →https://doi.org/10.1109/asp-dac47756.2020.9045597openalex-snapshot
Audio Adversarial Examples Generation with Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/asru46091.2019.9003763openalex-snapshot
Adversarial Attacks on Spoofing Countermeasures of Automatic Speaker Verification
inferredcites →https://doi.org/10.1109/ccst.2011.6095943openalex-snapshot
Preventing replay attacks on speaker verification systems
inferredcites →https://doi.org/10.1109/cvpr.2016.282openalex-snapshot
DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
inferredcites →https://doi.org/10.1109/dsn.2019.00019openalex-snapshot
A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples
inferredcites →https://doi.org/10.1109/dyspan.2019.8935789openalex-snapshot
Semi-black-box Attacks Against Speech Recognition Systems Using Adversarial Samples
inferredcites →https://doi.org/10.1109/glocom.2018.8647762openalex-snapshot
All Your Alexa Are Belong to Us: A Remote Voice Control Attack against Echo
inferredcites →https://doi.org/10.1109/icassp.2007.367303openalex-snapshot
One-to-Many and Many-to-One Voice Conversion Based on Eigenvoices
inferredcites →https://doi.org/10.1109/icassp.2010.5495503openalex-snapshot
Score normalization in playback attack detection
inferredcites →https://doi.org/10.1109/icassp.2013.6638222openalex-snapshot
Spoofing countermeasures to protect automatic speaker verification from voice conversion
inferredcites →https://doi.org/10.1109/icassp.2015.7178838openalex-snapshot
Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks
inferredcites →https://doi.org/10.1109/icassp.2018.8462693openalex-snapshot
Fooling End-To-End Speaker Verification With Adversarial Examples
inferredcites →https://doi.org/10.1109/icassp.2019.8683746openalex-snapshot
Cross-lingual Voice Conversion with Bilingual Phonetic Posteriorgram and Average Modeling
inferredcites →https://doi.org/10.1109/icassp39728.2021.9413760openalex-snapshot
FoolHD: Fooling Speaker Identification by Highly Imperceptible Adversarial Disturbances
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053058openalex-snapshot
Learning to Fool the Speaker Recognition
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053076openalex-snapshot
Adversarial Attacks on GMM I-Vector Based Speaker Verification Systems
inferredcites →https://doi.org/10.1109/icassp40776.2020.9053747openalex-snapshot
Real-Time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems
inferredcites →https://doi.org/10.1109/icassp40776.2020.9054750openalex-snapshot
Adversarial Example Detection by Classification for Deep Speech Recognition
inferredcites →https://doi.org/10.1109/icccn.2018.8487334openalex-snapshot
Protecting Voice Controlled Systems Using Sound Source Identification Based on Acoustic Cues
inferredcites →https://doi.org/10.1109/icdcs.2017.133openalex-snapshot
You Can Hear But You Cannot Steal: Defending Against Voice Impersonation Attacks on Smartphones
inferredcites →https://doi.org/10.1109/icme.2016.7552917openalex-snapshot
Phonetic posteriorgrams for many-to-one voice conversion without parallel data training
inferredcites →https://doi.org/10.1109/icme46284.2020.9102886openalex-snapshot
Universal Adversarial Perturbations Generative Network For Speaker Recognition
inferredcites →https://doi.org/10.1109/icmla.2019.00167openalex-snapshot
AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models
inferredcites →https://doi.org/10.1109/icmlc.2011.6016982openalex-snapshot
Channel pattern noise based playback attack detection algorithm for speaker recognition
inferredcites →https://doi.org/10.1109/infocom.2019.8737422openalex-snapshot
VoicePop: A Pop Noise based Anti-spoofing System for Voice Authentication on Smartphones
inferredcites →https://doi.org/10.1109/infocom41043.2020.9155483openalex-snapshot
Voiceprint Mimicry Attack Towards Speaker Verification System in Smart Home
inferredcites →https://doi.org/10.1109/isspit.2018.8642623openalex-snapshot
Noise Flooding for Detecting Audio Adversarial Examples Against Automatic Speech Recognition
inferredcites →https://doi.org/10.1109/iwcia47330.2019.8955062openalex-snapshot
Novel Defense Method against Audio Adversarial Example for Speech-to-Text Transcription Neural Networks
inferredcites →https://doi.org/10.1109/jiot.2020.2997779openalex-snapshot
Watchdog: Detecting Ultrasonic-Based Inaudible Voice Attacks to Smart Home Systems
inferredcites →https://doi.org/10.1109/jproc.2013.2251852openalex-snapshot
Speech Synthesis Based on Hidden Markov Models
inferredcites →https://doi.org/10.1109/lsp.2018.2811740openalex-snapshot
Voice Activity Detection Using an Adaptive Context Attention Model
inferredcites →https://doi.org/10.1109/lsp.2020.2996908openalex-snapshot
Detecting Replay Attacks Using Multi-Channel Audio: A Neural Network-Based Method
inferredcites →https://doi.org/10.1109/mass.2018.00016openalex-snapshot
Defending Against Voice Spoofing: A Robust Software-Based Liveness Detection System
inferredcites →https://doi.org/10.1109/mass50613.2020.00089openalex-snapshot
Voice Liveness Detection for Voice Assistants using Ear Canal Pressure
inferredcites →https://doi.org/10.1109/mcom.2019.1900006openalex-snapshot
Adversarial Examples for Automatic Speech Recognition: Attacks and Countermeasures
inferredcites →https://doi.org/10.1109/mwc.2019.1800477openalex-snapshot
Hidden Voice Commands: Attacks and Defenses on the VCS of Autonomous Driving Cars
inferredcites →https://doi.org/10.1109/sahcn.2019.8824980openalex-snapshot
Enabling Secure Voice Input on Augmented Reality Headsets using Internal Body Voice
inferredcites →https://doi.org/10.1109/sp.2013.20openalex-snapshot
Ghost Talk: Mitigating EMI Signal Injection Attacks against Analog Sensors
inferredcites →https://doi.org/10.1109/sp.2018.00038openalex-snapshot
Stealing Hyperparameters in Machine Learning
inferredcites →https://doi.org/10.1109/sp.2019.00016openalex-snapshot
Dangerous Skills: Understanding and Mitigating Security Risks of Voice-Controlled Third-Party Functions on Virtual Personal Assistant Systems
inferredcites →https://doi.org/10.1109/sp40000.2020.00026openalex-snapshot
SoK: A Minimalist Approach to Formalizing Analog Sensor Security
inferredcites →https://doi.org/10.1109/sp40001.2021.00004openalex-snapshot
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems
inferredcites →https://doi.org/10.1109/sp40001.2021.00009openalex-snapshot
Hear "No Evil", See "Kenansville": Efficient and Transferable Black-Box Attacks on Speech Recognition and Voice Identification Systems
inferredcites →https://doi.org/10.1109/spw.2018.00009openalex-snapshot
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
inferredcites →https://doi.org/10.1109/spw.2019.00016openalex-snapshot
Targeted Adversarial Examples for Black Box Audio Systems
inferredcites →https://doi.org/10.1109/taslp.2017.2760243openalex-snapshot
Robust Voice Liveness Detection and Speaker Verification Using Throat Microphones
inferredcites →https://doi.org/10.1109/taslp.2017.2761547openalex-snapshot
Statistical Parametric Speech Synthesis Incorporating Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/taslp.2019.2933146openalex-snapshot
Adversarial Regularization for Attention Based End-to-End Robust Speech Recognition
inferredcites →https://doi.org/10.1109/tdsc.2019.2906165openalex-snapshot
The Feasibility of Injecting Inaudible Voice Commands to Voice Assistants
inferredcites →https://doi.org/10.1109/temc.2015.2463089openalex-snapshot
IEMI Threats for Information Security: Remote Command Injection on Modern Smartphones
inferredcites →https://doi.org/10.1109/tifs.2019.2925452openalex-snapshot
Selective Audio Adversarial Example in Evasion Attack on Speech Recognition System
inferredcites →https://doi.org/10.1109/tifs.2020.3026543openalex-snapshot
Towards Query-Efficient Adversarial Attacks Against Automatic Speech Recognition Systems
inferredcites →https://doi.org/10.1109/tmc.2020.3020470openalex-snapshot
Secure Voice Input on Augmented Reality Headsets
inferredcites →https://doi.org/10.1109/tnnls.2018.2886017openalex-snapshot
Adversarial Examples: Attacks and Defenses for Deep Learning
inferredcites →https://doi.org/10.1145/3052973.3053009openalex-snapshot
Practical Black-Box Attacks against Machine Learning
inferredcites →https://doi.org/10.1145/3117811.3117823openalex-snapshot
Continuous Authentication for Voice Assistants
inferredcites →https://doi.org/10.1145/3133956.3133962openalex-snapshot
Hearing Your Voice is Not Enough
inferredcites →https://doi.org/10.1145/3176402openalex-snapshot
Risks of trusting the physics of sensors
inferredcites →https://doi.org/10.1145/3300061.3345429openalex-snapshot
Canceling Inaudible Voice Commands Against Voice Control Systems
inferredcites →https://doi.org/10.1145/3320269.3384733openalex-snapshot
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems
inferredcites →https://doi.org/10.1145/3327962.3331456openalex-snapshot
Defending Adversarial Attacks on Cloud-aided Automatic Speech Recognition Systems
inferredcites →https://doi.org/10.1145/3351258openalex-snapshot
Combating Replay Attacks Against Voice Assistants
inferredcites →https://doi.org/10.1145/3366423.3380179openalex-snapshot
Read Between the Lines: An Empirical Measurement of Sensitive Applications of Voice Personal Assistant Systems
inferredcites →https://doi.org/10.1145/3372297.3417254openalex-snapshot
When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition
inferredcites →https://doi.org/10.1145/3372297.3423348openalex-snapshot
AdvPulse: Universal, Synchronization-free, and Targeted Audio Adversarial Attacks via Subsecond Perturbations
inferredcites →https://doi.org/10.1145/3376897.3377856openalex-snapshot
Practical Adversarial Attacks Against Speaker Recognition Systems
inferredcites →https://doi.org/10.1145/3380991openalex-snapshot
Using Sonar for Liveness Detection to Protect Smart Speakers against Remote Attackers
inferredcites →https://doi.org/10.1145/3394171.3413603openalex-snapshot
A Unified Framework for Detecting Audio Adversarial Examples
inferredcites →https://doi.org/10.1145/3397332openalex-snapshot
Countering Acoustic Adversarial Attacks in Microphone-equipped Smart Home Devices
inferredcites →https://doi.org/10.1145/3460120.3485365openalex-snapshot
FakeWake: Understanding and Mitigating Fake Wake-up Words of Voice Assistants
inferredcites →https://doi.org/10.1145/3460120.3485389openalex-snapshot
CapSpeaker: Injecting Voices to Microphones via Capacitors
inferredcites →https://doi.org/10.14722/ndss.2019.23288openalex-snapshot
Adversarial Attacks Against Automatic Speech Recognition Systems via Psychoacoustic Hiding
inferredcites →https://doi.org/10.14722/ndss.2019.23362openalex-snapshot
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems
inferredcites →https://doi.org/10.14722/ndss.2019.23525openalex-snapshot
Life after Speech Recognition: Fuzzing Semantic Misinterpretation for Voice Assistant Applications
inferredcites →https://doi.org/10.14722/ndss.2020.23055openalex-snapshot
Metamorph: Injecting Inaudible Commands into Over-the-air Voice Controlled Systems
inferredcites →https://doi.org/10.14722/ndss.2020.24068openalex-snapshot
SurfingAttack: Interactive Hidden Attack on Voice Assistants Using Ultrasonic Guided Waves
inferredcites →https://doi.org/10.14722/ndss.2021.24551openalex-snapshot
EarArray: Defending against DolphinAttack via Acoustic Attenuation
inferredcites →https://doi.org/10.21437/eurospeech.1999-283openalex-snapshot
Vulnerability in speaker verification - a study of technical impostor techniques
inferredcites →https://doi.org/10.21437/interspeech.2012-465openalex-snapshot
Detecting converted speech and natural speech for anti-spoofing attack in speaker recognition
inferredcites →https://doi.org/10.21437/interspeech.2013-203openalex-snapshot
Speech activity detection on youtube using deep neural networks
inferredcites →https://doi.org/10.21437/interspeech.2013-288openalex-snapshot
Spoofing and countermeasures for automatic speaker verification
inferredcites →https://doi.org/10.21437/interspeech.2013-289openalex-snapshot
I-vectors meet imitators: on vulnerability of speaker verification systems against voice mimicry
inferredcites →https://doi.org/10.21437/interspeech.2016-264openalex-snapshot
Recent Advances in Google Real-Time HMM-Driven Unit Selection Synthesizer
inferredcites →https://doi.org/10.21437/interspeech.2017-1428openalex-snapshot
SEGAN: Speech Enhancement Generative Adversarial Network
inferredcites →https://doi.org/10.21437/interspeech.2017-304openalex-snapshot
Feature Selection Based on CQCCs for Automatic Speaker Verification Spoofing
inferredcites →https://doi.org/10.21437/interspeech.2017-776openalex-snapshot
Audio Replay Attack Detection Using High-Frequency Features
inferredcites →https://doi.org/10.21437/interspeech.2018-1247openalex-snapshot
Training Augmentation with Adversarial Examples for Robust Speech Recognition
inferredcites →https://doi.org/10.21437/interspeech.2018-1297openalex-snapshot
Exploration of Compressed ILPR Features for Replay Attack Detection
inferredcites →https://doi.org/10.21437/interspeech.2018-1675openalex-snapshot
Effectiveness of Speech Demodulation-Based Features for Replay Detection
inferredcites →https://doi.org/10.21437/interspeech.2019-1353openalex-snapshot
Universal Adversarial Perturbations for Speech Recognition Systems
inferredcites →https://doi.org/10.21437/interspeech.2019-2249openalex-snapshot
ASVspoof 2019: Future Horizons in Spoofed and Fake Audio Detection
inferredcites →https://doi.org/10.21437/interspeech.2019-2420openalex-snapshot
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems Using Multi-Objective Evolutionary Optimization
inferredcites →https://doi.org/10.21437/interspeech.2019-2430openalex-snapshot
Adversarial Optimization for Dictionary Attacks on Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2019-2742openalex-snapshot
Energy Separation-Based Instantaneous Frequency Estimation for Cochlear Cepstral Feature for Replay Spoof Detection
inferredcites →https://doi.org/10.21437/interspeech.2019-2983openalex-snapshot
Adversarial Regularization for End-to-End Robust Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2020-1052openalex-snapshot
The Attacker’s Perspective on Automatic Speaker Verification: An Overview
inferredcites →https://doi.org/10.21437/interspeech.2020-1846openalex-snapshot
Detecting Audio Attacks on ASR Systems with Dropout Uncertainty
inferredcites →https://doi.org/10.21437/interspeech.2020-1955openalex-snapshot
Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition
inferredcites →https://doi.org/10.21437/interspeech.2020-2441openalex-snapshot
Investigating Robustness of Adversarial Samples Detection for Automatic Speaker Verification
inferredcites →https://doi.org/10.21437/interspeech.2020-2734openalex-snapshot
Detecting Adversarial Examples for Speech Recognition via Uncertainty Quantification
inferredcites →https://doi.org/10.21437/odyssey.2016-37openalex-snapshot
Voice Liveness Detection for Speaker Verification based on a Tandem Single/Double-channel Pop Noise Detector
inferredcites →https://doi.org/10.21437/odyssey.2018-34openalex-snapshot
Can we steal your vocal identity from the Internet?: Initial investigation of cloning Obama’s voice using GAN, WaveNet and low-quality found data
inferredcites →https://doi.org/10.24963/ijcai.2019/649openalex-snapshot
Real-Time Adversarial Attacks
inferredcites →https://doi.org/10.24963/ijcai.2019/741openalex-snapshot
Robust Audio Adversarial Example for a Physical Attack
inferredcites →https://doi.org/10.24963/ijcai.2020/438openalex-snapshot
Generating Robust Audio Adversarial Examples with Temporal Dependency
inferredcites →https://doi.org/10.3115/v1/d14-1007openalex-snapshot
Policy Learning for Domain Selection in an Extensible Multi-domain Spoken Dialogue System
inferredcites →https://doi.org/10.32604/cmc.2019.08520openalex-snapshot
Security Analysis of Smart Speaker: Security Attacks and Mitigation
inferredcites →https://doi.org/10.4230/oasics.ng-res.2022.1openalex-snapshot
Can We Trust AI-Powered Real-Time Embedded Systems? (Invited Paper)
inferredcites →https://doi.org/10.4230/oasics.saia.2024.1openalex-snapshot
On Assessing ML Model Robustness: A Methodological Framework (Academic Track)
inferredcites →https://doi.org/10.48550/arxiv.1412.6572openalex-snapshot
Explaining and Harnessing Adversarial Examples
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1605.07277openalex-snapshot
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
inferredcites →https://doi.org/10.48550/arxiv.1609.03499openalex-snapshot
WaveNet: A Generative Model for Raw Audio
inferredcites →https://doi.org/10.48550/arxiv.1706.06083openalex-snapshot
Towards Deep Learning Models Resistant to Adversarial Attacks
inferredcites →https://doi.org/10.48550/arxiv.1712.09491openalex-snapshot
Exploring the Space of Black-box Attacks on Deep Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1803.09156openalex-snapshot
An Overview of Vulnerabilities of Voice Controlled Systems
inferredcites →https://doi.org/10.48550/arxiv.1809.04397openalex-snapshot
Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition
inferredcites →https://doi.org/10.48550/arxiv.1809.10875openalex-snapshot
Characterizing Audio Adversarial Examples Using Temporal Dependency
inferredcites →https://doi.org/10.48550/arxiv.1906.06355openalex-snapshot
Perceptual Based Adversarial Audio Attacks
inferredcites →https://doi.org/10.48550/arxiv.1908.03173openalex-snapshot
Universal Adversarial Audio Perturbations
inferredcites →https://doi.org/10.48550/arxiv.1909.11646openalex-snapshot
High Fidelity Speech Synthesis with Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1911.10182openalex-snapshot
Universal adversarial examples in speech command classification
inferredcites →https://doi.org/10.48550/arxiv.1912.08639openalex-snapshot
Detecting Adversarial Attacks On Audiovisual Speech Recognition
inferredcites →https://doi.org/10.48550/arxiv.2002.05463openalex-snapshot
Identifying Audio Adversarial Examples via Anomalous Pattern Detection
inferredcites →https://doi.org/10.48550/arxiv.2003.09083openalex-snapshot
WearID: Wearable-Assisted Low-Effort Authentication to Voice Assistants using Cross-Domain Speech Similarity
inferredcites →https://doi.org/10.48550/arxiv.2010.10788openalex-snapshot
"Are you home alone?" "Yes" Disclosing Security and Privacy Vulnerabilities in Alexa Skills
inferredcites →https://doi.org/10.5220/0007309500750087openalex-snapshot
Nonsense Attacks on Google Assistant and Missense Attacks on Amazon Alexa
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-23233-6_7openalex-snapshot
Designing Smart Voice Command Interface for Geographic Information System
inferred← citeshttps://doi.org/10.1007/978-3-031-37978-9_32openalex-snapshot
Prospects for Voice-Activated Robotic Assistants
inferred← citeshttps://doi.org/10.1007/978-3-031-42508-0_27openalex-snapshot
An Experimental Analysis on Mapping Strategies for Cepstral Coefficients Multi-projection in Voice Spoofing Detection Problem
inferred← citeshttps://doi.org/10.1007/978-3-031-53510-9_11openalex-snapshot
Security and Privacy of Augmented Reality Systems
inferred← citeshttps://doi.org/10.1007/978-3-031-71464-1_16openalex-snapshot
Cyber Sentinel: Fortifying Voice Assistant Security with Biometric Template Integration in Neural Networks
inferred← citeshttps://doi.org/10.1007/978-3-032-32335-4_18openalex-snapshot
Safeguards for Speech2Speech LLM-Assistants: A Case Study in Automotive Applications
inferred← citeshttps://doi.org/10.1007/s10462-024-10760-zopenalex-snapshot
Speech emotion recognition systems and their security aspects
inferred← citeshttps://doi.org/10.1007/s11390-023-3073-5openalex-snapshot
Ubiquitous WiFi and Acoustic Sensing: Principles, Technologies, and Applications
inferred← citeshttps://doi.org/10.1007/s11416-023-00492-zopenalex-snapshot
Parametric study of hand dorsal vein biometric recognition vulnerability to spoofing attacks
inferred← citeshttps://doi.org/10.1007/s12559-025-10469-3openalex-snapshot
Generative AI and Deepfake Detection in Biometric Systems
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110570openalex-snapshot
Exploring multicepstral features in a new classical machine learning-based framework for replay attack detection
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103250openalex-snapshot
CROSS: A framework for cyber risk optimisation in smart homes
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103448openalex-snapshot
Security and privacy problems in voice assistant applications: A survey
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103617openalex-snapshot
Hello me, meet the real me: Voice synthesis attacks on voice assistants
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103963openalex-snapshot
Measuring privacy policy compliance in the Alexa ecosystem: In-depth analysis
inferred← citeshttps://doi.org/10.1016/j.joep.2025.102804openalex-snapshot
Do managers accept artificial intelligence? Insights into the role of business area and AI functionality
inferred← citeshttps://doi.org/10.1016/j.rineng.2024.102505openalex-snapshot
Exploring electroacoustic conversion in a standing-wave thermo-acoustic generator: An experimental study
inferred← citeshttps://doi.org/10.1080/0144929x.2024.2374889openalex-snapshot
Building trust in remote attestation through transparency – a qualitative user study on observable attestation
inferred← citeshttps://doi.org/10.1108/itp-01-2023-0001openalex-snapshot
Why would consumers risk taking purchase recommendations from voice assistants?
inferred← citeshttps://doi.org/10.1109/access.2023.3266722openalex-snapshot
Mitigating Inaudible Ultrasound Attacks on Voice Assistants With Acoustic Metamaterials
inferred← citeshttps://doi.org/10.1109/access.2024.3479208openalex-snapshot
Efficient Implementation of Kernel Regularization Based on ADMM and Its Application to Room Impulse Response Estimation
inferred← citeshttps://doi.org/10.1109/aihcir67580.2025.11405313openalex-snapshot
Smart Cockpit Scenario Service Data Encryption and Security Protection System Based on Voice Interaction
inferred← citeshttps://doi.org/10.1109/dese63988.2024.10911925openalex-snapshot
Assessing AI-powered Personal Assistant Siri: A Risk Analysis using ISO/IEC 27005
inferred← citeshttps://doi.org/10.1109/icbctis66509.2025.11387341openalex-snapshot
Enhancing HMI Security with Physiological Trustworthiness: A Study on EEG-HRV Synergy for Behavioral and Cognitive State Discrimination
inferred← citeshttps://doi.org/10.1109/icecai66283.2025.11170668openalex-snapshot
Research on Low Latency Algorithm Optimization and System Stability Enhancement for Intelligent Voice Assistant
inferred← citeshttps://doi.org/10.1109/itms59786.2023.10317730openalex-snapshot
Initial Development and Performance Evaluation of a Bengali Voice-Operated Virtual Assistant for Personal Computer Control
inferred← citeshttps://doi.org/10.1109/itt69610.2025.11352931openalex-snapshot
IntegriScan: An Operations-First Architecture for Real-Time Deepfake Voice Fraud Detection
inferred← citeshttps://doi.org/10.1109/jiot.2024.3406962openalex-snapshot
Fast and Lightweight Voice Replay Attack Detection via Time-Frequency Spectrum Difference
inferred← citeshttps://doi.org/10.1109/jiot.2024.3494024openalex-snapshot
BoneAuth: A Bone-Conduction-Based Voice Liveness Authentication for Voice Assistants
inferred← citeshttps://doi.org/10.1109/jiot.2026.3655361openalex-snapshot
A Novel Ultrasonic Phased-Array Injection Attack on Voice-Controlled Devices
inferred← citeshttps://doi.org/10.1109/ojsp.2023.3256321openalex-snapshot
Leveraging Domain Features for Detecting Adversarial Attacks Against Deep Speech Recognition in Noise
inferred← citeshttps://doi.org/10.1109/sc41406.2024.00044openalex-snapshot
SMIless: Serving DAG-based Inference with Dynamic Invocations under Serverless Computing
inferred← citeshttps://doi.org/10.1109/sp54263.2024.00111openalex-snapshot
Understanding and Benchmarking the Commonality of Adversarial Examples
inferred← citeshttps://doi.org/10.1109/sp54263.2024.00231openalex-snapshot
From Virtual Touch to Tesla Command: Unlocking Unauthenticated Control Chains From Smart Glasses for Vehicle Takeover
inferred← citeshttps://doi.org/10.1109/spicscon69221.2025.11504245openalex-snapshot
Deep Autoencoder-Based Protection for Malware Detection Models from Adversarially Perturbed Data
inferred← citeshttps://doi.org/10.1109/tce.2026.3657783openalex-snapshot
A Wi-Fi-Based Authentication Scheme for Voice-Enabled Large Language Model Consumer Electronics Devices
inferred← citeshttps://doi.org/10.1109/tdsc.2026.3679695openalex-snapshot
A Passive Defense Against Out-of-Band Injection Threats to Microphone-Based Devices
inferred← citeshttps://doi.org/10.1109/temc.2024.3490953openalex-snapshot
Detection and Suppression of Intentional EMI Attacks to Smart Speakers
inferred← citeshttps://doi.org/10.1109/tifs.2025.3597552openalex-snapshot
Mitigating Voice Assistant Eavesdropping via Event Source Review on Mobile Devices
inferred← citeshttps://doi.org/10.1109/tifs.2026.3673129openalex-snapshot
MagLive: Robust Voice Liveness Detection on Smartphones Using Magnetic Pattern Changes
inferred← citeshttps://doi.org/10.1109/tmc.2024.3401096openalex-snapshot
Manipulating Voice Assistants Eavesdropping via Inherent Vulnerability Unveiling in Mobile Systems
inferred← citeshttps://doi.org/10.1109/trustcom60117.2023.00132openalex-snapshot
Self-attention is What You Need to Fool a Speaker Recognition System
inferred← citeshttps://doi.org/10.1111/ijcs.12963openalex-snapshot
Examining the context‐specific reasons and adoption of artificial intelligence‐based voice assistants: A behavioural reasoning theory approach
inferred← citeshttps://doi.org/10.1145/3570361.3613279openalex-snapshot
Meta-Speaker: Acoustic Source Projection by Exploiting Air Nonlinearity
inferred← citeshttps://doi.org/10.1145/3576915.3616650openalex-snapshot
SkillScanner: Detecting Policy-Violating Voice Applications Through Static Analysis at the Development Phase
inferred← citeshttps://doi.org/10.1145/3581791.3596837openalex-snapshot
EchoAttack: Practical Inaudible Attacks To Smart Earbuds
inferred← citeshttps://doi.org/10.1145/3588770openalex-snapshot
PrivExtractor: Toward Redressing the Imbalance of Understanding between Virtual Assistant Users and Vendors
inferred← citeshttps://doi.org/10.1145/3634737.3657010openalex-snapshot
Command Hijacking on Voice-Controlled IoT in Amazon Alexa Platform
inferred← citeshttps://doi.org/10.1145/3665451.3665532openalex-snapshot
Towards Evaluating the Robustness of Automatic Speech Recognition Systems via Audio Style Transfer
inferred← citeshttps://doi.org/10.1145/3701725openalex-snapshot
Adversarial Attack and Defense for Commercial Black-box Chinese-English Speech Recognition Systems
inferred← citeshttps://doi.org/10.1145/3796130.3796142openalex-snapshot
Generative AI-Based Defense Against Deepfakes in Intelligent Audio Systems
inferred← citeshttps://doi.org/10.1145/3800645.3812983openalex-snapshot
Beyond Cameras and Microphones: Mitigating Privacy Tensions in 'Simple' Smart Home Sensors
inferred← citeshttps://doi.org/10.1515/icom-2022-0039openalex-snapshot
Authentication methods for voice services on smart speakers – a multi-method study on perceived security and ease of use
inferred← citeshttps://doi.org/10.23919/cje.2025.00.174openalex-snapshot
Hierarchical Security Survey of Voice Control Systems: Vulnerabilities, Countermeasures, and Future Horizons
inferred← citeshttps://doi.org/10.3390/app132112068openalex-snapshot
Trustworthy Artificial Intelligence Methods for Users’ Physical and Environmental Security: A Comprehensive Review
inferred← citeshttps://doi.org/10.54364/cybersecurityjournal.2025.1110openalex-snapshot
Assessing Vulnerabilities in Voice Assistants: Comparative Analysis of Google Assistant, Siri, and Alexa
inferred← citeshttps://doi.org/10.55544/sjmars.2.4.5openalex-snapshot
Artificial Intelligence in Automated Testing Environments
inferred← citeshttps://doi.org/10.59313/jsr-a.1600934openalex-snapshot
Types of cyber-attacks with using voice
inferred← citeshttps://doi.org/10.70675/02beeb67z59daz4068z89bez9123c15226afopenalex-snapshot
Electromagnetic interferences and Information security : characterization, exploitation and forensic analysis
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.