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SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Least‐Mean‐Square Adaptive Filters
inferredcites →https://doi.org/10.1007/978-3-030-10997-4_50openalex-snapshot
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio
inferredcites →https://doi.org/10.1007/978-3-030-30619-9_27openalex-snapshot
Who Activated My Voice Assistant? A Stealthy Attack on Android Phones Without Users’ Awareness
inferredcites →https://doi.org/10.1007/978-3-319-66787-4_22openalex-snapshot
Illusion and Dazzle: Adversarial Optical Channel Exploits Against Lidars for Automotive Applications
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Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution
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On the human evaluation of universal audio adversarial perturbations
inferredcites →https://doi.org/10.1016/j.csl.2019.05.005openalex-snapshot
Voice Mimicry Attacks Assisted by Automatic Speaker Verification
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/10.1109/78.553476openalex-snapshot
Equivariant adaptive source separation
inferredcites →https://doi.org/10.1109/83.806630openalex-snapshot
Tri-state median filter for image denoising
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.2019.2918261openalex-snapshot
JamSys: Coverage Optimization of a Microphone Jamming System Based on Ultrasounds
inferredcites →https://doi.org/10.1109/access.2019.2953924openalex-snapshot
An Iterative Mean Filter for Image Denoising
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/asp-dac47756.2020.9045584openalex-snapshot
LanCe: A Comprehensive and Lightweight CNN Defense Methodology against Physical Adversarial Attacks on Embedded Multimedia Applications
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/cvpr.2018.00175openalex-snapshot
Robust Physical-World Attacks on Deep Learning Visual Classification
inferredcites →https://doi.org/10.1109/cvpr.2018.00957openalex-snapshot
Boosting Adversarial Attacks with Momentum
inferredcites →https://doi.org/10.1109/cvpr.2019.00284openalex-snapshot
Improving Transferability of Adversarial Examples With Input Diversity
inferredcites →https://doi.org/10.1109/cvpr.2019.00668openalex-snapshot
Curls & Whey: Boosting Black-Box Adversarial Attacks
inferredcites →https://doi.org/10.1109/cvpr.2019.00772openalex-snapshot
Speech2Face: Learning the Face Behind a Voice
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/dyspan43839.2018openalex-snapshot
2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)
inferredcites →https://doi.org/10.1109/eurosp.2016.36openalex-snapshot
The Limitations of Deep Learning in Adversarial Settings
inferredcites →https://doi.org/10.1109/eurosp.2017.42openalex-snapshot
WALNUT: Waging Doubt on the Integrity of MEMS Accelerometers with Acoustic Injection Attacks
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.2018.8462693openalex-snapshot
Fooling End-To-End Speaker Verification With Adversarial Examples
inferredcites →https://doi.org/10.1109/icassp.2019.8683479openalex-snapshot
Adversarial Examples for Improving End-to-end Attention-based Small-footprint Keyword Spotting
inferredcites →https://doi.org/10.1109/icassp.2019.8683793openalex-snapshot
Improving ASR Robustness to Perturbed Speech Using Cycle-consistent Generative Adversarial Networks
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/icassp40776.2020.9053288openalex-snapshot
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement
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/iccv.2019.00483openalex-snapshot
Enhancing Adversarial Example Transferability With an Intermediate Level Attack
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/icmla.2019.00167openalex-snapshot
AudiDoS: Real-Time Denial-of-Service Adversarial Attacks on Deep Audio Models
inferredcites →https://doi.org/10.1109/icufn.2016.7537163openalex-snapshot
BadVoice: Soundless voice-control replay attack on modern smartphones
inferredcites →https://doi.org/10.1109/infocom.2014.6847959openalex-snapshot
Shake and walk: Acoustic direction finding and fine-grained indoor localization using smartphones
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/isspit42473.2017openalex-snapshot
2017 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)
inferredcites →https://doi.org/10.1109/iwcia47330.2019openalex-snapshot
2019 IEEE 11th International Workshop on Computational Intelligence and Applications (IWCIA)
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.2018.2867917openalex-snapshot
Analyzing and Enhancing the Security of Ultrasonic Sensors for Autonomous Vehicles
inferredcites →https://doi.org/10.1109/nssmic.1993.373563openalex-snapshot
An adaptive Gaussian filter for noise reduction and edge detection
inferredcites →https://doi.org/10.1109/sp.2016.41openalex-snapshot
Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks
inferredcites →https://doi.org/10.1109/sp.2017.49openalex-snapshot
Towards Evaluating the Robustness of Neural Networks
inferredcites →https://doi.org/10.1109/sp.2018.00050openalex-snapshot
Blue Note: How Intentional Acoustic Interference Damages Availability and Integrity in Hard Disk Drives and Operating Systems
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/sp35280.2016openalex-snapshot
2016 IEEE Symposium on Security and Privacy (SP)
inferredcites →https://doi.org/10.1109/sp37863.2019openalex-snapshot
2019 IEEE Symposium on Security and Privacy (SP)
inferredcites →https://doi.org/10.1109/sp40000.2020openalex-snapshot
2020 IEEE Symposium on Security and Privacy (SP)
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/sp40001.2021.00014openalex-snapshot
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker 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/spw45269.2018openalex-snapshot
2018 IEEE Security and Privacy Workshops (SPW)
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/tevc.2019.2890858openalex-snapshot
One Pixel Attack for Fooling Deep Neural Networks
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/tmc.2018.2860991openalex-snapshot
Precise Power Delay Profiling with Commodity Wi-Fi
inferredcites →https://doi.org/10.1109/tsa.2005.860851openalex-snapshot
New insights into the noise reduction Wiener filter
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/10.1145/3176402openalex-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/10.1145/3359789.3359830openalex-snapshot
Defeating hidden audio channel attacks on voice assistants via audio-induced surface vibrations
inferredcites →https://doi.org/10.1145/3372297.3417253openalex-snapshot
A Tale of Evil Twins: Adversarial Inputs versus Poisoned Models
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/10.1145/3385003.3410925openalex-snapshot
Stateful Detection of Black-Box Adversarial Attacks
inferredcites →https://doi.org/10.1145/3394486.3403241openalex-snapshot
AdvMind: Inferring Adversary Intent of Black-Box Attacks
inferredcites →https://doi.org/10.1145/3427228.3427276openalex-snapshot
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems
inferredcites →https://doi.org/10.1145/3460120.3485383openalex-snapshot
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
inferredcites →https://doi.org/10.1201/9781351251389-8openalex-snapshot
Adversarial Examples in the Physical World
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/10.1609/aaai.v32i1.11504openalex-snapshot
Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing Their Input Gradients
inferredcites →https://doi.org/10.1609/aaai.v34i04.5928openalex-snapshot
Weighted-Sampling Audio Adversarial Example Attack
inferredcites →https://doi.org/10.1609/aaai.v35i16.17663openalex-snapshot
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
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.2019-1353openalex-snapshot
Universal Adversarial Perturbations for Speech Recognition Systems
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/odyssey.2020-23openalex-snapshot
Black-box Attacks on Automatic Speaker Verification using Feedback-controlled Voice Conversion
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/10.33682/sp9n-qk06openalex-snapshot
Robustness of Adversarial Attacks in Sound Event Classification
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.1003.4083openalex-snapshot
Voice Recognition Algorithms using Mel Frequency Cepstral Coefficient (MFCC) and Dynamic Time Warping (DTW) Techniques
inferredcites →https://doi.org/10.48550/arxiv.1412.6572openalex-snapshot
Explaining and Harnessing Adversarial Examples
inferredcites →https://doi.org/10.48550/arxiv.1511.05122openalex-snapshot
Adversarial Manipulation of Deep Representations
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.1609.03193openalex-snapshot
Wav2Letter: an End-to-End ConvNet-based Speech Recognition System
inferredcites →https://doi.org/10.48550/arxiv.1611.02770openalex-snapshot
Delving into Transferable Adversarial Examples and Black-box Attacks
inferredcites →https://doi.org/10.48550/arxiv.1705.07204openalex-snapshot
Ensemble Adversarial Training: Attacks and Defenses
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.1707.05373openalex-snapshot
Houdini: Fooling Deep Structured Prediction Models
inferredcites →https://doi.org/10.48550/arxiv.1711.03280openalex-snapshot
Crafting Adversarial Examples For Speech Paralinguistics Applications
inferredcites →https://doi.org/10.48550/arxiv.1712.03327openalex-snapshot
The Insecurity of Home Digital Voice Assistants -- Amazon Alexa as a Case Study
inferredcites →https://doi.org/10.48550/arxiv.1801.00554openalex-snapshot
Did you hear that? Adversarial Examples Against Automatic Speech Recognition
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.1902.08295openalex-snapshot
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling
inferredcites →https://doi.org/10.48550/arxiv.1903.10346openalex-snapshot
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
inferredcites →https://doi.org/10.48550/arxiv.1904.03829openalex-snapshot
Adversarial Audio: A New Information Hiding Method and Backdoor for DNN-based Speech Recognition Models
inferredcites →https://doi.org/10.48550/arxiv.1904.08490openalex-snapshot
Understanding the Effectiveness of Ultrasonic Microphone Jammer
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.1911.00126openalex-snapshot
Adversarial Music: Real World Audio Adversary Against Wake-word Detection System
inferredcites →https://doi.org/10.48550/arxiv.1911.10182openalex-snapshot
Universal adversarial examples in speech command classification
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.2004.12261openalex-snapshot
Enabling Fast and Universal Audio Adversarial Attack Using Generative Model
inferredcites →https://doi.org/10.48550/arxiv.2110.13250openalex-snapshot
Beyond $L_p$ clipping: Equalization-based Psychoacoustic Attacks against ASRs
inferredcites →https://doi.org/10.5220/0007309500750087openalex-snapshot
Nonsense Attacks on Google Assistant and Missense Attacks on Amazon Alexa
inferredcites →https://doi.org/10.60882/cispa.32772381openalex-snapshot
Robust Over-the-Air Adversarial Examples Against Automatic Speech Recognition Systems.
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-031-28990-3_12openalex-snapshot
Defense Mechanisms Against Audio Adversarial Attacks: Recent Advances and Future Directions
inferred← citeshttps://doi.org/10.1007/s10586-024-04649-3openalex-snapshot
Secure speech-recognition data transfer in the internet of things using a power system and a tried-and-true key generation technique
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Disposable identities: Solving web tracking
inferred← citeshttps://doi.org/10.1109/access.2026.3733308openalex-snapshot
Research on an Enhanced Zipformer With Multi-Feature Attention for Aviation Speech Recognition
inferred← citeshttps://doi.org/10.1109/globecom54140.2023.10437601openalex-snapshot
Knowledge Distillation Based Defense for Audio Trigger Backdoor in Federated Learning
inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462855openalex-snapshot
Adversarial Fine-Tuning on Speech Foundation Model with Vulnerable Attention Consistency Regularization for Robust Speech Recognition
inferred← citeshttps://doi.org/10.1109/iciics67880.2026.11483438openalex-snapshot
Security Monitoring System for Recording Equipment based on Digital Intelligent ASR Speech Recognition
inferred← citeshttps://doi.org/10.1109/ispa-bdcloud-socialcom-sustaincom57177.2022.00094openalex-snapshot
Your Voice is Not Yours? Black-Box Adversarial Attacks Against Speaker Recognition Systems
inferred← citeshttps://doi.org/10.1109/lsens.2024.3482177openalex-snapshot
PRISM-Guardian: Enhancing Data Privacy in Devices With Sound Collection, Recognition, and Sharing Through Blockchain Technology
inferred← citeshttps://doi.org/10.1109/ropec58757.2023.10409492openalex-snapshot
Combining Deep Learning with Domain Adaptation and Filtering Techniques for Speech Recognition in Noisy Environments
inferred← citeshttps://doi.org/10.1109/sp61157.2025.00259openalex-snapshot
EvilHarmony: Stealthy Adversarial Attacks Against Black-Box Speech Recognition Systems
inferred← citeshttps://doi.org/10.1109/tdsc.2022.3220673openalex-snapshot
Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition
inferred← citeshttps://doi.org/10.1109/tdsc.2026.3660980openalex-snapshot
Adversarial Attacks on Closed Box Speech Recognition Systems via Laser Injection
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/10.1145/3705611openalex-snapshot
Safe Driving Adversarial Trajectory Can Mislead: Toward More Stealthy Adversarial Attack Against Autonomous Driving Prediction Module
inferred← citeshttps://doi.org/10.1145/3748309openalex-snapshot
AdvAudio: A New Information Hiding Method via Fooling Automatic Speech Recognition Model
inferred← citeshttps://doi.org/10.1186/s42400-023-00175-8openalex-snapshot
Towards the transferable audio adversarial attack via ensemble methods
inferred← citeshttps://doi.org/10.23919/cje.2025.00.174openalex-snapshot
Hierarchical Security Survey of Voice Control Systems: Vulnerabilities, Countermeasures, and Future Horizons
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COMPARATIVE ANALYSIS OF METHODS, TECHNOLOGIES, SERVICES, AND PLATFORMS FOR SPEECH RECOGNITION IN INFORMATION SECURITY SYSTEMS
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DBN-FTLSTM: An Optimized Deep Learning Framework for Speech and Image Recognition
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Federated Learning for Cybersecurity: A Privacy-Preserving Approach
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Detecting Audio Adversarial Examples in Automatic Speech Recognition Systems Using Decision Boundary Patterns
inferred← citeshttps://doi.org/10.3390/s22103683openalex-snapshot
Automatic Speech Recognition Method Based on Deep Learning Approaches for Uzbek Language
inferred← citeshttps://doi.org/10.4018/ijwltt.384057openalex-snapshot
A Study on the Effectiveness of Mobile Applications in Improving Spoken Chinese Ability
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Securing Biomedical Audio Data in IoT Healthcare Systems: An Evaluation of Encryption Methods for Enhanced Privacy
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A Study on Powertrain Noise Reduction Control Vehicles for Improving Speech Recognition Accuracy in Hybrid Electric Vehicle
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