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Provable Adversarial Robustness for Group Equivariant Tasks: Graphs,
  Point Clouds, Molecules, and More
v1v2 (latest)

Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More

Neural Information Processing Systems (NeurIPS), 2023
5 December 2023
Jan Schuchardt
Yan Scholten
Stephan Günnemann
    AAMLOOD
ArXiv (abs)PDFHTMLGithub (43★)

Papers citing "Provable Adversarial Robustness for Group Equivariant Tasks: Graphs, Point Clouds, Molecules, and More"

2 / 2 papers shown
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
567
92
0
14 Feb 2024
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers
  via Randomized Deletion
RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized DeletionNeural Information Processing Systems (NeurIPS), 2023
Zhuoqun Huang
Neil G. Marchant
Keane Lucas
Lujo Bauer
O. Ohrimenko
Benjamin I. P. Rubinstein
AAML
496
20
0
31 Jan 2023
1
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