2024 "robustness evaluation" Papers

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Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data

Yujun Zhou, Yufei Han, Haomin Zhuang et al.

ICML 2024poster

CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks

Shashank Agnihotri, Steffen Jung, Margret Keuper

ICML 2024poster

MathAttack: Attacking Large Language Models towards Math Solving Ability

Zihao Zhou, Qiufeng Wang, Mingyu Jin et al.

AAAI 2024paperarXiv:2309.01686

Position: TrustLLM: Trustworthiness in Large Language Models

Yue Huang, Lichao Sun, Haoran Wang et al.

ICML 2024poster

Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders

Yi Yu, Yufei Wang, Song Xia et al.

ICML 2024poster

TETRIS: Towards Exploring the Robustness of Interactive Segmentation

Andrey Moskalenko, Vlad Shakhuro, Anna Vorontsova et al.

AAAI 2024paperarXiv:2402.06132

Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models

Francesco Croce, Naman D. Singh, Matthias Hein

ECCV 2024posterarXiv:2306.12941