mlsanityData to 14 Oct 2026

Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning

arXiv 2010.00071 ↗First posted 30 Sep 2020cs.LG stat.MLcited by 1

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Abstract (arXiv)

Stochastic Activation Pruning (SAP) (Dhillon et al., 2018) is a defense to adversarial examples that was attacked and found to be broken by the "Obfuscated Gradients" paper (Athalye et al., 2018). We discover a flaw in the re-implementation that artificially weakens SAP. When SAP is applied properly, the proposed attack is not effective. However, we show that a new use of the BPDA attack technique can still reduce the accuracy of SAP to 0.1%.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 30 Sep 2020.

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