Poster "adversarial machine learning" Papers

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Concept-ROT: Poisoning Concepts in Large Language Models with Model Editing

Keltin Grimes, Marco Christiani, David Shriver et al.

ICLR 2025arXiv:2412.13341

PoisonedEye: Knowledge Poisoning Attack on Retrieval-Augmented Generation based Large Vision-Language Models

Chenyang Zhang, Xiaoyu Zhang, Jian Lou et al.

PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection

Wei Li, Pin-Yu Chen, Sijia Liu et al.

CVPR 2025arXiv:2406.05826

Where the Devil Hides: Deepfake Detectors Can No Longer Be Trusted

Shuaiwei Yuan, Junyu Dong, Yuezun Li

CVPR 2025arXiv:2505.08255

Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation

Jialai Wang, Yuxiao Wu, Weiye Xu et al.

Energy-based Backdoor Defense without Task-Specific Samples and Model Retraining

Yudong Gao, Honglong Chen, Peng Sun et al.

Uniformly Stable Algorithms for Adversarial Training and Beyond

Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo et al.

ICML 2024arXiv:2405.01817