Certified defenses
WebSep 25, 2024 · Defenses against adversarial attacks can be classified into certified and non-certified. Certifiable defenses make networks robust within a certain -bounded radius, so that it is impossible for the adversary to make … WebMar 14, 2024 · This paper studies certified and empirical defenses against patch attacks. We begin with a set of experiments showing that most existing defenses, which work by pre-processing input images to mitigate adversarial patches, are easily broken by simple white-box adversaries.
Certified defenses
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Web2024. Certified defenses for data poisoning attacks. J Steinhardt, PWW Koh, PS Liang. Advances in neural information processing systems 30. , 2024. 619. 2024. The many … Web1 day ago · Certified defense methods against adversarial perturbations have been recently investigated in the black-box setting with a zeroth-order (ZO) perspective. However, these methods suffer from high model variance with low performance on high-dimensional datasets due to the ineffective design of the denoiser and are limited in their utilization of …
WebJun 9, 2024 · This work undertake a rigorous study of defenses against data poisoning for online learning, and studies four standard defenses in a powerful threat model, and provides conditions under which they can allow or resist rapid poisoning. 4. Highly Influenced. PDF. View 6 excerpts, cites methods and background. WebJan 28, 2024 · Certified defense has been used in [28] to provide performance guarantees for wireless signal classifiers in the presence of adversarial examples. ... Adversarial Machine Learning in Wireless...
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WebOct 14, 2024 · Paper Code In our previous post, we gave an overview of smoothing-based approaches to certified defenses, and described a certified patch defense known as de-randomized smoothing.In our latest work, we show how to leverage vision transformers (ViTs) to significantly improve such certified patch defenses along all possible axes: …
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