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Semi-supervised deep learning approach to break common CAPTCHAs
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot
A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
inferredcites →https://doi.org/10.1007/11427896_1openalex-snapshot
Building Segmentation Based Human-Friendly Human Interaction Proofs (HIPs)
inferredcites →https://doi.org/10.1007/11909033_9openalex-snapshot
Enhanced CAPTCHAs: Using Animation to Tell Humans and Computers Apart
inferredcites →https://doi.org/10.1007/3-540-39200-9_18openalex-snapshot
CAPTCHA: Using Hard AI Problems for Security
inferredcites →https://doi.org/10.1007/978-3-319-06320-1_6openalex-snapshot
A CAPTCHA Scheme Based on the Identification of Character Locations
inferredcites →https://doi.org/10.1007/978-3-642-25513-7_18openalex-snapshot
AniCAP: An Animated 3D CAPTCHA Scheme Based on Motion Parallax
inferredcites →https://doi.org/10.1007/s00521-020-05182-1openalex-snapshot
“SPOCU”: scaled polynomial constant unit activation function
inferredcites →https://doi.org/10.1007/s00521-020-05412-6openalex-snapshot
Correction to: “SPOCU”: scaled polynomial constant unit activation function
inferredcites →https://doi.org/10.1016/j.patcog.2014.09.006openalex-snapshot
Breaking text-based CAPTCHAs with variable word and character orientation
inferredcites →https://doi.org/10.1016/j.procs.2015.07.381openalex-snapshot
Designing a Secure Text-based CAPTCHA
inferredcites →https://doi.org/10.1109/access.2020.2982945openalex-snapshot
Simple and Easy: Transfer Learning-Based Attacks to Text CAPTCHA
inferredcites →https://doi.org/10.1109/acsac.2007.4412996openalex-snapshot
Breaking Visual CAPTCHAs with Naive Pattern Recognition Algorithms
inferredcites →https://doi.org/10.1109/cvpr.2001.990916openalex-snapshot
2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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/icoin48656.2020.9016522openalex-snapshot
Detection of Bots in CAPTCHA as a Cloud Service Utilizing Machine Learning
inferredcites →https://doi.org/10.1109/icoin50884.2021.9333881openalex-snapshot
Precursory Analysis of Attack-Log Time Series by Machine Learning for Detecting Bots in CAPTCHA
inferredcites →https://doi.org/10.1109/indcon.2009.5409359openalex-snapshot
Drag and Drop: A Better Approach to CAPTCHA
inferredcites →https://doi.org/10.1109/isi49825.2020.9280537openalex-snapshot
A Generative Adversarial Learning Framework for Breaking Text-Based CAPTCHA in the Dark Web
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/10.1109/sp.2011.14openalex-snapshot
The Failure of Noise-Based Non-continuous Audio Captchas
inferredcites →https://doi.org/10.1109/tifs.2017.2682704openalex-snapshot
Research on the Security of Microsoft’s Two-Layer Captcha
inferredcites →https://doi.org/10.1109/tifs.2018.2821096openalex-snapshot
Research on Deep Learning Techniques in Breaking Text-Based Captchas and Designing Image-Based Captcha
inferredcites →https://doi.org/10.1109/tifs.2019.2928622openalex-snapshot
An End-to-End Attack on Text CAPTCHAs
inferredcites →https://doi.org/10.1117/12.2539806openalex-snapshot
Deep learning concepts and datasets for image recognition: overview 2019
inferredcites →https://doi.org/10.1145/2046707.2046724openalex-snapshot
Text-based CAPTCHA strengths and weaknesses
inferredcites →https://doi.org/10.1145/2508859.2516732openalex-snapshot
The robustness of hollow CAPTCHAs
inferredcites →https://doi.org/10.1145/3243734.3243754openalex-snapshot
Yet Another Text Captcha Solver
inferredcites →https://doi.org/10.14722/ndss.2016.23154openalex-snapshot
A Simple Generic Attack on Text Captchas
inferredcites →https://doi.org/10.2139/ssrn.3633354openalex-snapshot
Deep-CAPTCHA: A Deep Learning Based CAPTCHA Solver for Vulnerability Assessment
inferredcites →https://doi.org/10.48550/arxiv.1706.02515openalex-snapshot
Self-Normalizing Neural Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s42044-025-00300-5openalex-snapshot
A polymorphic code generation engine with obfuscation techniques for protecting web bot attacks
inferred← citeshttps://doi.org/10.1007/s44163-026-01592-7openalex-snapshot
On the limits of deep neural networks for CAPTCHA recognition under binary block encodings
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103774openalex-snapshot
Evaluating the security of CAPTCHAs utilized on Bangladeshi websites
inferred← citeshttps://doi.org/10.1109/access.2024.3442976openalex-snapshot
Image CAPTCHAs: When Deep Learning Breaks the Mold
inferred← citeshttps://doi.org/10.1109/esci63694.2025.10987922openalex-snapshot
Deep Learning Based CAPTCHA Verification Systems
inferred← citeshttps://doi.org/10.15446/rev.fac.cienc.v15n2.117839openalex-snapshot
EVALUACIÓN DE LA VULNERABILIDAD DE CAPTCHAS MEDIANTE REDES NEURONALES CONVOLUCIONALES
inferred← citeshttps://doi.org/10.17586/2226-1494-2024-24-1-90-100openalex-snapshot
Automation of complex text СAPTCHA recognition using conditional generative adversarial networks
inferred← citeshttps://doi.org/10.2352/ei.2024.36.4.mwsf-330openalex-snapshot
Captchas on Darknet Marketplaces: Overview and Automated Solvers
inferred← citeshttps://doi.org/10.3390/app13074602openalex-snapshot
A Survey on Adversarial Perturbations and Attacks on CAPTCHAs
inferred← citeshttps://doi.org/10.5188/ijsmer.25.212openalex-snapshot
Investigation of Colors Categorized into Color Names on a Liquid Crystal Display to Enhance CAPTCHAs
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.1/reviews/1openalex-snapshot
Peer Review #1 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.1/reviews/2openalex-snapshot
Peer Review #2 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.1/reviews/3openalex-snapshot
Peer Review #3 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.1)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.2/reviews/1openalex-snapshot
Peer Review #1 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.2/reviews/2openalex-snapshot
Peer Review #2 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.2/reviews/3openalex-snapshot
Peer Review #3 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.2/reviews/4openalex-snapshot
Peer Review #4 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.2/reviews/5openalex-snapshot
Peer Review #5 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.2)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.3/reviews/2openalex-snapshot
Peer Review #2 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.3/reviews/4openalex-snapshot
Peer Review #4 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.3/reviews/5openalex-snapshot
Peer Review #5 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.3)"
inferred← citeshttps://doi.org/10.7287/peerj-cs.879v0.4/reviews/4openalex-snapshot
Peer Review #4 of "A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks (v0.4)"
inferred← citeshttps://doi.org/10.7717/peerj-cs.879openalex-snapshot
A novel CAPTCHA solver framework using deep skipping Convolutional Neural Networks
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