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Using Generative Adversarial Networks to Break and Protect Text 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/10.1007/11909033_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/10.1007/978-3-030-00470-5_23openalex-snapshot
Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
inferredcites →https://doi.org/10.1007/978-3-540-30144-8_23openalex-snapshot
Image Recognition CAPTCHAs
inferredcites →https://doi.org/10.1016/j.neunet.2005.06.044openalex-snapshot
Bayesian approach to feature selection and parameter tuning for support vector machine classifiers
inferredcites →https://doi.org/10.1109/5.726791openalex-snapshot
Gradient-based learning applied to document recognition
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.1993.341010openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/cvpr.2015.7298594openalex-snapshot
Going deeper with convolutions
inferredcites →https://doi.org/10.1109/cvpr.2016.308openalex-snapshot
Rethinking the Inception Architecture for Computer Vision
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr.2017.241openalex-snapshot
Learning from Simulated and Unsupervised Images through Adversarial Training
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2019.00284openalex-snapshot
Improving Transferability of Adversarial Examples With Input Diversity
inferredcites →https://doi.org/10.1109/eurosp.2016.37openalex-snapshot
I am Robot: (Deep) Learning to Break Semantic Image CAPTCHAs
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/icmla.2004.1383481openalex-snapshot
Proceedings of the 2004 International Conference on Machine Learning and Applications
inferredcites →https://doi.org/10.1109/icmla.2014.16openalex-snapshot
Reducing the Cost of Breaking Audio CAPTCHAs by Active and Semi-supervised Learning
inferredcites →https://doi.org/10.1109/ijcnn.1989.118638openalex-snapshot
Theory of the backpropagation neural network
inferredcites →https://doi.org/10.1109/infcom.2013.6567061openalex-snapshot
Rejecting the attack: Source authentication for Wi-Fi management frames using CSI Information
inferredcites →https://doi.org/10.1109/isit.2004.1365067openalex-snapshot
Jensen-Shannon divergence and Hilbert space embedding
inferredcites →https://doi.org/10.1109/tdsc.2013.52openalex-snapshot
Security Analysis and Related Usability of Motion-Based CAPTCHAs: Decoding Codewords in Motion
inferredcites →https://doi.org/10.1109/tdsc.2018.2874243openalex-snapshot
Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction
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.2017.2718479openalex-snapshot
No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples, With Applications to CAPTCHA Generation
inferredcites →https://doi.org/10.1109/tmc.2016.2635643openalex-snapshot
Behavior Based Human Authentication on Touch Screen Devices Using Gestures and Signatures
inferredcites →https://doi.org/10.1126/science.aag2612openalex-snapshot
A generative vision model that trains with high data efficiency and breaks text-based CAPTCHAs
inferredcites →https://doi.org/10.1137/040603371openalex-snapshot
Mesh Adaptive Direct Search Algorithms for Constrained Optimization
inferredcites →https://doi.org/10.1145/1128817.1128824openalex-snapshot
Can machine learning be secure?
inferredcites →https://doi.org/10.1145/1455770.1455839openalex-snapshot
A low-cost attack on a Microsoft captcha
inferredcites →https://doi.org/10.1145/1518701.1518983openalex-snapshot
Evaluating existing audio CAPTCHAs and an interface optimized for non-visual use
inferredcites →https://doi.org/10.1145/1572532.1572585openalex-snapshot
Machine learning attacks against the Asirra CAPTCHA
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/10.1145/2556288openalex-snapshot
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
inferredcites →https://doi.org/10.1145/2590296.2590298openalex-snapshot
A three-way investigation of a game-CAPTCHA
inferredcites →https://doi.org/10.1145/2991079.2991083openalex-snapshot
A security analysis of automated chinese turing tests
inferredcites →https://doi.org/10.1145/3243734.3243754openalex-snapshot
Yet Another Text Captcha Solver
inferredcites →https://doi.org/10.1145/966389.966390openalex-snapshot
Telling humans and computers apart automatically
inferredcites →https://doi.org/10.14722/ndss.2016.23115openalex-snapshot
Automatically Evading Classifiers: A Case Study on PDF Malware Classifiers
inferredcites →https://doi.org/10.14722/ndss.2016.23154openalex-snapshot
A Simple Generic Attack on Text Captchas
inferredcites →https://doi.org/10.14722/usec.2016.23013openalex-snapshot
Better the Devil You Know: A User Study of Two CAPTCHAs and a Possible Replacement Technology
inferredcites →https://doi.org/10.1609/aaai.v31i1.10804openalex-snapshot
SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient
inferredcites →https://doi.org/10.18653/v1/d17-1230openalex-snapshot
Adversarial Learning for Neural Dialogue Generation
inferredcites →https://doi.org/10.3233/jcs-16847openalex-snapshot
On the security and usability of dynamic cognitive game CAPTCHAs
inferredcites →https://doi.org/10.48550/arxiv.0908.1185openalex-snapshot
Side-channel attack on labeling CAPTCHAs
inferredcites →https://doi.org/10.48550/arxiv.1312.6082openalex-snapshot
Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
inferredcites →https://doi.org/10.48550/arxiv.1406.2661openalex-snapshot
Generative Adversarial Networks
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1411.1792openalex-snapshot
How transferable are features in deep neural networks?
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-032-07373-0_9openalex-snapshot
Defeating CAPTCHAs with CNN-Based Image Recognition: Methods and Mitigation Strategies
inferred← citeshttps://doi.org/10.1007/s00521-023-08262-0openalex-snapshot
Few-shot learning in realistic settings for text CAPTCHA recognition
inferred← citeshttps://doi.org/10.1007/s13042-022-01675-8openalex-snapshot
Multiview deep learning-based attack to break text-CAPTCHAs
inferred← citeshttps://doi.org/10.1016/j.cose.2021.102178openalex-snapshot
A cloud endpoint coordinating CAPTCHA based on multi-view stacking ensemble
inferred← citeshttps://doi.org/10.1016/j.cose.2021.102367openalex-snapshot
DIGFuPAS: Deceive IDS with GAN and function-preserving on adversarial samples in SDN-enabled networks
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103774openalex-snapshot
Evaluating the security of CAPTCHAs utilized on Bangladeshi websites
inferred← citeshttps://doi.org/10.1016/j.eswa.2023.120225openalex-snapshot
Exploring visual representations of computer mouse movements for bot detection using deep learning approaches
inferred← citeshttps://doi.org/10.1016/j.ins.2021.07.040openalex-snapshot
Make complex CAPTCHAs simple: A fast text captcha solver based on a small number of samples
inferred← citeshttps://doi.org/10.1016/j.iot.2021.100404openalex-snapshot
Static detection of malicious PowerShell based on word embeddings
inferred← citeshttps://doi.org/10.1109/access.2024.3442976openalex-snapshot
Image CAPTCHAs: When Deep Learning Breaks the Mold
inferred← citeshttps://doi.org/10.1109/bigdata62323.2024.10825656openalex-snapshot
Gen-AI for User Safety: A Survey
inferred← citeshttps://doi.org/10.1109/iccbd-ai62252.2023.00051openalex-snapshot
Decrypting the Chao-based Image Encryption via A Deep Autoencoding Approach
inferred← citeshttps://doi.org/10.1109/icsft67370.2026.11566181openalex-snapshot
AI-Resistant Image Based CAPTCHA Generation Using Diffusion Models
inferred← citeshttps://doi.org/10.1109/indicon59947.2023.10440750openalex-snapshot
Exploring self-supervised learning in Multiview captcha recognition
inferred← citeshttps://doi.org/10.1109/rait65068.2025.11088923openalex-snapshot
CTC Loss-Based OCR Model for Efficient Text CAPTCHA Recognition
inferred← citeshttps://doi.org/10.1145/3559754openalex-snapshot
An Experimental Investigation of Text-based CAPTCHA Attacks and Their Robustness
inferred← citeshttps://doi.org/10.1155/2021/1205153openalex-snapshot
YOLO-Highway: An Improved Highway Center Marking Detection Model for Unmanned Aerial Vehicle Autonomous Flight
inferred← citeshttps://doi.org/10.2478/jaiscr-2022-0008openalex-snapshot
Position-Encoding Convolutional Network to Solving Connected Text Captcha
inferred← citeshttps://doi.org/10.3390/app13074602openalex-snapshot
A Survey on Adversarial Perturbations and Attacks on CAPTCHAs
inferred← citeshttps://doi.org/10.3390/app14125016openalex-snapshot
Adaptive CAPTCHA: A CRNN-Based Text CAPTCHA Solver with Adaptive Fusion Filter Networks
inferred← citeshttps://doi.org/10.3390/math9202536openalex-snapshot
Building Emerging Images with Tiled Orders and Posets
inferred← citeshttps://doi.org/10.46604/ijeti.2024.13977openalex-snapshot
FEGAN: A High-Performance Font Enhancement Network for Text CAPTCHA Preprocessing
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