Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 160 tok/s
Gemini 2.5 Pro 50 tok/s Pro
GPT-5 Medium 33 tok/s Pro
GPT-5 High 41 tok/s Pro
GPT-4o 95 tok/s Pro
Kimi K2 193 tok/s Pro
GPT OSS 120B 417 tok/s Pro
Claude Sonnet 4.5 39 tok/s Pro
2000 character limit reached

Erratum Concerning the Obfuscated Gradients Attack on Stochastic Activation Pruning (2010.00071v1)

Published 30 Sep 2020 in cs.LG and stat.ML

Abstract: 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%.

Citations (1)

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.