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Improving Adversarial Robustness via Activation Amplification and Attenuation
BACKGROUND
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30 Jun
Improving Adversarial Robustness via Activation Amplification and Attenuation
REPORT · HOW · ArXiv CS.AI
Other feeds and industry voices
11 Jun
Toward Trustworthy AI: Multi-Target Adversarial Attacks and Robust Defenses for Continuous Data Summarization
arXiv:2606.11804v1 Announce Type: new Abstract: Trustworthy AI requires reliable data-processing pipelines, not only robust downstream predictive models. As an upstream component,
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23 Apr
Towards Understanding the Robustness of Sparse Autoencoders
arXiv:2604.18756v1 Announce Type: cross Abstract: Large Language Models (LLMs) remain vulnerable to optimization-based jailbreak attacks that exploit internal gradient structure.
REPORT · HOW · ArXiv CS.AIOPEN STORY
20 Mar
Rethinking Gradient-based Adversarial Attacks on Point Cloud Classification
arXiv:2505.21854v2 Announce Type: replace-cross Abstract: Gradient-based adversarial attacks are widely used to evaluate the robustness of 3D point cloud classifiers, yet they
REPORT · WHAT · ArXiv CS.AIOPEN STORY
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