"privacy preservation" Papers
9 papers found
An Inversion-based Measure of Memorization for Diffusion Models
Zhe Ma, Qingming Li, Xuhong Zhang et al.
ICCV 2025posterarXiv:2405.05846
2
citations
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang, Fali Wang, Xiaomin Li et al.
ICLR 2025posterarXiv:2410.16454
43
citations
Memories of Forgotten Concepts
Matan Rusanovsky, Shimon Malnick, Amir Jevnisek et al.
CVPR 2025highlightarXiv:2412.00782
4
citations
OmniFC: Rethinking Federated Clustering via Lossless and Secure Distance Reconstruction
Jie Yan, Jing Liu, Zhong-Yuan Zhang
NeurIPS 2025posterarXiv:2505.13071
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
Jinglin Liang, Jin Zhong, Hanlin Gu et al.
ECCV 2024posterarXiv:2409.01128
19
citations
Non-exemplar Online Class-Incremental Continual Learning via Dual-Prototype Self-Augment and Refinement
Fushuo Huo, Wenchao Xu, Jingcai Guo et al.
AAAI 2024paperarXiv:2303.10891
23
citations
PID: Prompt-Independent Data Protection Against Latent Diffusion Models
Ang Li, Yichuan Mo, Mingjie Li et al.
ICML 2024poster
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
Lulu Xue, Shengshan Hu, Ruizhi Zhao et al.
AAAI 2024paperarXiv:2401.16687
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
George-Octavian Bărbulescu, Peter Triantafillou
ICML 2024poster