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Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks

Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks

5 November 2020
Leo Schwinn
An Nguyen
René Raab
Dario Zanca
Bjoern M. Eskofier
Daniel Tenbrinck
Martin Burger
    AAML
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Papers citing "Dynamically Sampled Nonlocal Gradients for Stronger Adversarial Attacks"

2 / 2 papers shown
Title
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space
Leo Schwinn
David Dobre
Sophie Xhonneux
Gauthier Gidel
Stephan Gunnemann
AAML
51
38
0
14 Feb 2024
Exploring Misclassifications of Robust Neural Networks to Enhance
  Adversarial Attacks
Exploring Misclassifications of Robust Neural Networks to Enhance Adversarial Attacks
Leo Schwinn
René Raab
A. Nguyen
Dario Zanca
Bjoern M. Eskofier
AAML
14
58
0
21 May 2021
1