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Model-Reuse Attacks on Deep Learning Systems We hope the results of our work can encourage the community to revisit the design and practical use of text captchas.

We demonstrate that our attack is generally applicable because it can bypass the advanced security features employed by most modern text captcha schemes.

We show that our approach is highly efficient as it can solve a captcha within 0.05 second using a desktop GPU. It outperforms four state-of-the-art text-captcha solvers by not only delivering a significant higher accuracy on all testing schemes, but also successfully attacking schemes where others have zero chance. Our approach is the most capable attack on text captchas seen to date. We evaluate our approach by applying it to 33 captcha schemes, including 11 schemes that are currently being used by 32 of the top-50 popular websites including Microsoft, Wikipedia, eBay and Google. This is achieved by first learning a captcha synthesizer to automatically generate synthetic captchas to learn a base solver, and then fine-tuning the base solver on a small set of real captchas using transfer learning. Unlike prior machine-learning-based approaches that need a large volume of manually-labeled real captchas to learn an effective solver, our approach requires significantly fewer real captchas but yields much better performance. This paper presents a generic, yet effective text captcha solver based on the generative adversarial network. This means that a change in the captcha security features like a noisier background can simply invalid an earlier attack. One of the reasons for the pervasive use of text captchas is that many of the prior attacks are scheme-specific and require a labor-intensive and time-consuming process to construct. 吐槽一下，CCS太大了，议题一年比一年多。 2018 Proceedings dblp Session 2D: ML 1 Yet Another Text Captcha Solver: A Generative Adversarial Network Based Approachĭespite several attacks have been proposed, text-based CAPTCHAs are still being widely used as a security mechanism. NDSS (ISOC Network and Distributed System Security Symposium) dblp.USENIX Security (Usenix Security Symposium) dblp.S&P (IEEE Symposium on Security and Privacy) dblp.

CCS (ACM Conference on Computer and Communications Security) dblp.

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