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  1. Dec 15, 2023Although promising, existing defenses against query-based attacks share a common limitation: they offer increased robustness against attacks at the price of a considerable accuracy drop on clean samples. In this work, we show how to efficiently establish, at test-time, a solid tradeoff between robustness and accuracy when mitigating query-based attacks. Given that these attacks necessarily ...
  2. find across-the-board improvements in robustness-accuracy tradeoffs over all considered defenses. For instance, our experiments on CIFAR-10 and CIFAR-100 show that for PSJA, one of the most powerful state-of-the-art decision-based attacks, our method improves robust accuracy by up to 8% and 20%, with a negligible impact on clean task ac-
  3. In this work, we show how to efficiently establish, at test-time, a solid tradeoff between robustness and accuracy when mitigating query-based attacks. Given that these attacks necessarily explore low-confidence regions, our insight is that activating dedicated defenses, such as random noise defense and random image transformations, only for ...
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  5. paperswithcode.com

    Dec 15, 2023In this work, we show how to efficiently establish, at test-time, a solid tradeoff between robustness and accuracy when mitigating query-based attacks. Given that these attacks necessarily explore low-confidence regions, our insight is that activating dedicated defenses, such as random noise defense and random image transformations, only for ...
  6. export.arxiv.org

    Dec 15, 2023Abstract: Although promising, existing defenses against query-based attacks share a common limitation: they offer increased robustness against attacks at the price of a considerable accuracy drop on clean samples. In this work, we show how to efficiently establish, at test-time, a solid tradeoff between robustness and accuracy when mitigating query-based attacks.
  7. ojs.aaai.org

    Mar 24, 2024Although promising, existing defenses against query-based attacks share a common limitation: they offer increased robustness against attacks at the price of a considerable accuracy drop on clean samples. In this work, we show how to efficiently establish, at test-time, a solid tradeoff between robustness and accuracy when mitigating query-based attacks.
  8. In this work, we set forth to establish a stronger accuracy-robustness tradeoff against query-based black-box attacks by leveraging a different hyperparameter grounded on the confidence τ 𝜏 \tau italic_τ of classifying incoming inputs. Our approach relies on the insight that, while query-based attacks necessarily need to explore low-confidence regions, most genuine inputs are classified ...
  9. Closing the Gap: Achieving Better Accuracy-Robustness Tradeoffs Against Query-Based Attacks 2024 Download . Konferenz / Journal. ... a solid tradeoff between robustness and accuracy when mitigating query-based attacks. Given that these attacks necessarily explore low-confidence regions, our insight is that activating dedicated defenses, such as ...

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