On the public citation graph
The Failure of Noise-Based Non-continuous Audio Captchas
0 signed · 97 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known work and none has been retracted — and get a dated CiteStamped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/10.1007/11427896_1openalex-snapshot
Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs)
inferredcites →https://doi.org/10.1007/11551874_44openalex-snapshot
Compact Representation of Speech Using 2-D Cepstrum – An Application to Slovak Digits Recognition
inferredcites →https://doi.org/10.1007/3-540-39200-9_18openalex-snapshot
CAPTCHA: Using Hard AI Problems for Security
inferredcites →https://doi.org/10.1016/0885-2308(92)90029-4openalex-snapshot
A study of the two-dimensional cepstrum approach for speech recognition
inferredcites →https://doi.org/10.1016/c2012-0-00024-5openalex-snapshot
Time-Frequency Signal Analysis and Processing: A Comprehensive Reference
inferredcites →https://doi.org/10.1016/j.cose.2009.12.003openalex-snapshot
Audio CAPTCHA: Existing solutions assessment and a new implementation for VoIP telephony
inferredcites →https://doi.org/10.1109/acsac.2007.47openalex-snapshot
Breaking Visual CAPTCHAs with Naive Pattern Recognition Algorithms
inferredcites →https://doi.org/10.1109/cvpr.2003.1211347openalex-snapshot
Recognizing objects in adversarial clutter: breaking a visual CAPTCHA
inferredcites →https://doi.org/10.1109/proc.1977.10747openalex-snapshot
The cepstrum: A guide to processing
inferredcites →https://doi.org/10.1109/proc.1981.12184openalex-snapshot
Spectrum analysis—A modern perspective
inferredcites →https://doi.org/10.1109/sp.2010.31openalex-snapshot
How Good Are Humans at Solving CAPTCHAs? A Large Scale Evaluation
inferredcites →https://doi.org/10.1145/1054972.1055070openalex-snapshot
Designing human friendly human interaction proofs (HIPs)
inferredcites →https://doi.org/10.1145/1455770.1455838openalex-snapshot
Machine learning attacks against the Asirra CAPTCHA
inferredcites →https://doi.org/10.1145/1455770.1455839openalex-snapshot
A low-cost attack on a Microsoft captcha
inferredcites →https://doi.org/10.1145/1572532.1572585openalex-snapshot
Machine learning attacks against the Asirra CAPTCHA
inferredcites →https://doi.org/10.21437/eurospeech.2003-710openalex-snapshot
Localized spectro-temporal features for automatic speech recognition
inferredcites →https://doi.org/10.21437/icslp.2002-412openalex-snapshot
A reverse turing test using speech
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/sec.1475openalex-snapshot
Understanding a prospective approach to designing malicious social bots
inferred← citeshttps://doi.org/10.1007/978-3-030-25109-3_4openalex-snapshot
A Simple Attack on CaptchaStar
inferred← citeshttps://doi.org/10.1007/978-3-030-30215-3_7openalex-snapshot
Can Today’s Machine Learning Pass Image-Based Turing Tests?
inferred← citeshttps://doi.org/10.1007/978-3-030-33432-1_2openalex-snapshot
Defending Against Machine Learning Based Inference Attacks via Adversarial Examples: Opportunities and Challenges
inferred← citeshttps://doi.org/10.1007/978-3-031-18458-1_15openalex-snapshot
Generating Human-Like Motion to Defeat Interaction-Based CAPTCHAs
inferred← citeshttps://doi.org/10.1007/978-3-319-06320-1_6openalex-snapshot
A CAPTCHA Scheme Based on the Identification of Character Locations
inferred← citeshttps://doi.org/10.1007/978-3-319-99247-1_18openalex-snapshot
Recognizing Character-Matching CAPTCHA Using Convolutional Neural Networks with Triple Loss
inferred← citeshttps://doi.org/10.1007/978-3-642-41383-4_3openalex-snapshot
Solving Google’s Continuous Audio CAPTCHA with HMM-Based Automatic Speech Recognition
inferred← citeshttps://doi.org/10.1007/978-981-10-8228-3_33openalex-snapshot
Audio CAPTCHA Techniques: A Review
inferred← citeshttps://doi.org/10.1007/978-981-13-1483-4_4openalex-snapshot
CAPTCHA Design and Security Issues
inferred← citeshttps://doi.org/10.1007/s00521-021-05957-0openalex-snapshot
Semi-supervised deep learning approach to break common CAPTCHAs
inferred← citeshttps://doi.org/10.1007/s00530-018-0589-6openalex-snapshot
Association rule mining for the usability of the CAPTCHA interfaces: a new study of multimedia systems
inferred← citeshttps://doi.org/10.1007/s10209-020-00730-xopenalex-snapshot
Evaluating the accessibility and usability of a universal CAPTCHA based on gestures for smartphones
inferred← citeshttps://doi.org/10.1016/j.cose.2014.05.004openalex-snapshot
On the security of text-based 3D CAPTCHAs
inferred← citeshttps://doi.org/10.1016/j.cose.2019.101635openalex-snapshot
Is image-based CAPTCHA secure against attacks based on machine learning? An experimental study
inferred← citeshttps://doi.org/10.1016/j.cose.2020.101947openalex-snapshot
SoK: Machine vs. machine – A systematic classification of automated machine learning-based CAPTCHA solvers
inferred← citeshttps://doi.org/10.1016/j.future.2014.11.004openalex-snapshot
ADAMAS: Interweaving unicode and color to enhance CAPTCHA security
inferred← citeshttps://doi.org/10.1016/j.neucom.2017.02.105openalex-snapshot
Chinese Character CAPTCHA Recognition and performance estimation via deep neural network
inferred← citeshttps://doi.org/10.1016/j.neucom.2019.08.109openalex-snapshot
A survey of CAPTCHA technologies to distinguish between human and computer
inferred← citeshttps://doi.org/10.1063/5.0260328openalex-snapshot
Audio captcha for SIP-BASED VoIP, a systematic literature review
inferred← citeshttps://doi.org/10.1080/0144929x.2014.898793openalex-snapshot
Investigating the effects of sound masking on the use of audio CAPTCHAs
inferred← citeshttps://doi.org/10.1080/10447318.2024.2398890openalex-snapshot
An Ecologically Valid Approach to Evaluating Online Gatekeepers
inferred← citeshttps://doi.org/10.1109/asiancon51346.2021.9544570openalex-snapshot
Doodling Based CAPTCHA Authentication System
inferred← citeshttps://doi.org/10.1109/comst.2020.2969030openalex-snapshot
Short-Range Audio Channels Security: Survey of Mechanisms, Applications, and Research Challenges
inferred← citeshttps://doi.org/10.1109/eit.2018.8500113openalex-snapshot
Low-Cost Breaking of a Unique Chinese Language CAPTCHA Using Curriculum Learning and Clustering
inferred← citeshttps://doi.org/10.1109/eusipco.2016.7760649openalex-snapshot
A non-speech audio CAPTCHA based on acoustic event detection and classification
inferred← citeshttps://doi.org/10.1109/i4ct.2014.6914219openalex-snapshot
Development of CAPTCHA system based on puzzle
inferred← citeshttps://doi.org/10.1109/icisa.2014.6847359openalex-snapshot
Notice of Violation of IEEE Publication Principles - An Implementation of a Geometric and Arithmetic CAPTCHA without Database
inferred← citeshttps://doi.org/10.1109/icmla.2014.16openalex-snapshot
Reducing the Cost of Breaking Audio CAPTCHAs by Active and Semi-supervised Learning
inferred← citeshttps://doi.org/10.1109/icnp.2015.11openalex-snapshot
A Practical System for Guaranteed Access in the Presence of DDoS Attacks and Flash Crowds
inferred← citeshttps://doi.org/10.1109/ikt.2016.7777762openalex-snapshot
Proposing an algorithm for converting published and handwritten texts to CAPTCHA by using image processing
inferred← citeshttps://doi.org/10.1109/infocomtech.2018.8722409openalex-snapshot
CHGR: Captcha generation using Hand Gesture Recognition
inferred← citeshttps://doi.org/10.1109/jiot.2014.2297998openalex-snapshot
${\ssr{PriWhisper}}$ : Enabling Keyless Secure Acoustic Communication for Smartphones
inferred← citeshttps://doi.org/10.1109/lifetech52111.2021.9391820openalex-snapshot
Development and Evaluation of Swahili Text Based CAPTCHA
inferred← citeshttps://doi.org/10.1109/nbis.2015.114openalex-snapshot
CAPTCHA System by Differentiating the Awkwardness of Objects
inferred← citeshttps://doi.org/10.1109/pccc.2012.6407782openalex-snapshot
GeoCAPTCHA — A novel personalized CAPTCHA using geographic concept to defend against 3rd Party Human Attack
inferred← citeshttps://doi.org/10.1109/smc.2017.8123098openalex-snapshot
Audio-CAPTCHA with distinction between random phoneme sequences and words spoken by multi-speaker
inferred← citeshttps://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
inferred← citeshttps://doi.org/10.1109/sp46215.2023.10179379openalex-snapshot
GeeSolver: A Generic, Efficient, and Effortless Solver with Self-Supervised Learning for Breaking Text Captchas
inferred← citeshttps://doi.org/10.1109/tdsc.2013.52openalex-snapshot
Security Analysis and Related Usability of Motion-Based CAPTCHAs: Decoding Codewords in Motion
inferred← citeshttps://doi.org/10.1109/tdsc.2023.3236367openalex-snapshot
Improving the Security of Audio CAPTCHAs With Adversarial Examples
inferred← citeshttps://doi.org/10.1109/tifs.2024.3352394openalex-snapshot
Watch Your Speed: Injecting Malicious Voice Commands via Time-Scale Modification
inferred← citeshttps://doi.org/10.1109/trustcom/bigdatase.2019.00020openalex-snapshot
A Survey of Research on CAPTCHA Designing and Breaking Techniques
inferred← citeshttps://doi.org/10.1109/trustcom63139.2024.00153openalex-snapshot
CaptchaSAM: Segment Anything in Text-based Captchas
inferred← citeshttps://doi.org/10.1109/wocn.2013.6616188openalex-snapshot
Cursor CAPTCHA — Implementing CAPTCHA using mouse cursor
inferred← citeshttps://doi.org/10.1145/2046684.2046704openalex-snapshot
Accessibility of CAPTCHA methods
inferred← citeshttps://doi.org/10.1145/2046707.2046724openalex-snapshot
Text-based CAPTCHA strengths and weaknesses
inferred← citeshttps://doi.org/10.1145/2470654.2481295openalex-snapshot
SeeSay and HearSay CAPTCHA for mobile interaction
inferred← citeshttps://doi.org/10.1145/2664243.2664262openalex-snapshot
Using automatic speech recognition for attacking acoustic CAPTCHAs
inferred← citeshttps://doi.org/10.1145/2702123.2702127openalex-snapshot
Constructing Secure Audio CAPTCHAs by Exploiting Differences between Humans and Machines
inferred← citeshttps://doi.org/10.1145/2783446.2783583openalex-snapshot
Heuristics for the evaluation of captchas on smartphones
inferred← citeshttps://doi.org/10.1145/2856820openalex-snapshot
Toward Improved Audio CAPTCHAs Based on Auditory Perception and Language Understanding
inferred← citeshttps://doi.org/10.1145/3128572.3140443openalex-snapshot
In (Cyber)Space Bots Can Hear You Speak
inferred← citeshttps://doi.org/10.1145/3308561.3353777openalex-snapshot
Automatic Generation and Evaluation of Usable and Secure Audio reCAPTCHA
inferred← citeshttps://doi.org/10.1145/3319535.3363198openalex-snapshot
Detecting Fake Accounts in Online Social Networks at the Time of Registrations
inferred← citeshttps://doi.org/10.1145/3477142openalex-snapshot
Gotta CAPTCHA ’Em All: A Survey of 20 Years of the Human-or-computer Dilemma
inferred← citeshttps://doi.org/10.1184/r1/6723947openalex-snapshot
Toward A Highly Available Future Internet
inferred← citeshttps://doi.org/10.1186/s13635-022-00134-9openalex-snapshot
Human-artificial intelligence approaches for secure analysis in CAPTCHA codes
inferred← citeshttps://doi.org/10.14569/ijacsa.2013.041120openalex-snapshot
CAPTCHA Based on Human Cognitive Factor
inferred← citeshttps://doi.org/10.14722/ndss.2017.23020openalex-snapshot
Fake Co-visitation Injection Attacks to Recommender Systems
inferred← citeshttps://doi.org/10.14722/ndss.2023.24243openalex-snapshot
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems
inferred← citeshttps://doi.org/10.2197/ipsjjip.23.814openalex-snapshot
HMM-based Attacks on Google's ReCAPTCHA with Continuous Visual and Audio Symbols
inferred← citeshttps://doi.org/10.22214/ijraset.2024.59293openalex-snapshot
Next-Generation Captcha: Enhancing Security Through Hand Gestures and Gaming
inferred← citeshttps://doi.org/10.22215/etd/2015-11105openalex-snapshot
The Usability of Captchas on Mobile Devices
inferred← citeshttps://doi.org/10.38124/ijisrt/ijisrt24mar1463openalex-snapshot
Enhancing Web Security: Implementing CAPTCHA for Government Websites
inferred← citeshttps://doi.org/10.47611/jsrhs.v11i3.2752openalex-snapshot
CAPTCHAs in reality: What might happen if they are easily broken?
inferred← citeshttps://doi.org/10.48550/arxiv.1310.1540openalex-snapshot
Three-Way Dissection of a Game-CAPTCHA: Automated Attacks, Relay Attacks, and Usability
inferred← citeshttps://doi.org/10.48550/arxiv.1312.7444openalex-snapshot
CAPTCHA Based on Human Cognitive Factor
inferred← citeshttps://doi.org/10.5072/prism/28624openalex-snapshot
Utilizing Human Cognitive Abilities in User Identification and CAPTCHA
inferred← citeshttps://doi.org/10.5120/11526-7253openalex-snapshot
Cursor CAPTCHA Captcha Mechanism using Mouse Cursor
inferred← citeshttps://doi.org/10.5120/ijca2015907575openalex-snapshot
Distinguishing Humans from Automated Programs by a novel Audio-based CAPTCHA
inferred← citeshttps://doi.org/10.5210/fm.v17i2.3630openalex-snapshot
Strengthening CAPTCHA-based Web security
inferred← citeshttps://doi.org/10.59743/jbs.v36i1.208openalex-snapshot
A SURVEY ON CAPTCHA: ORIGIN, APPLICATIONS AND CLASSIFICATION
inferred← citeshttps://doi.org/10.70675/7bcd740bz7f36z4924za9d4zcee5a1173964openalex-snapshot
Exécution sécurisée de code sur systèmes embarqués
inferred← citeshttps://doi.org/10.7763/ijfcc.2015.v4.387openalex-snapshot
Character Image Semantic-Based CAPTCHA
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.