Oedipus: LLM-enchanced Reasoning CAPTCHA Solver
Gelei Deng, Haoran Ou, Yi Liu, Jie Zhang, Tianwei Zhang, Yang Liu
2025年份
4顶会引用
摘要
CAPTCHAs have become a ubiquitous tool in safeguarding applications from automated bots. Over time, the arms race between CAPTCHA development and evasion techniques has led to increasingly sophisticated and diverse designs. The latest iteration, reasoning CAPTCHAs, exploits tasks that are intuitively simple for humans but challenging for conventional AI technologies, thereby enhancing security measures.
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引用它的顶会 Paper4
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- COGNITION: From Evaluation to Defense against Multimodal LLM CAPTCHA SolversJunyu Wang, Changjia Zhu, Yuanbo Zhou, Lingyao Li 等USENIX Security 2026 · 被引用 4 次
- Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent DefenseJiacheng Liu, Yaxin Luo, Jiacheng Cui, Xinyi Shang 等ICML 2026 · 被引用 2 次
- CAPTCHA Solving for Native GUI Agents: Automated Reasoning-Action Data Generation and Self-Corrective TrainingYuxi Chen, Haoyu Zhai, Chenkai Wang, Rui Yang 等ICML 2026
它引用的顶会 Paper8
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- Large Language Models as Commonsense Knowledge for Large-Scale Task PlanningZirui Zhao, Wee Sun Lee, David HsuNeurIPS 2023 · 被引用 423 次
- Yet Another Text Captcha Solver: A Generative Adversarial Network Based ApproachGuixin Ye, Zhanyong Tang, Dingyi Fang, Zhanxing Zhu 等CCS 2018 · 被引用 138 次
- TheoremQA: A Theorem-driven Question Answering DatasetWenhu Chen, Ming Yin, Max Ku, Pan Lu 等EMNLP 2023 · 被引用 30 次
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