"machine unlearning" Papers
14 papers found
A Reliable Cryptographic Framework for Empirical Machine Unlearning Evaluation
Yiwen Tu, Pingbang Hu, Jiaqi Ma
NeurIPS 2025posterarXiv:2404.11577
2
citations
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang, Fali Wang, Xiaomin Li et al.
ICLR 2025posterarXiv:2410.16454
43
citations
Do LLMs Really Forget? Evaluating Unlearning with Knowledge Correlation and Confidence Awareness
Rongzhe Wei, Peizhi Niu, Hans Hao-Hsun Hsu et al.
NeurIPS 2025posterarXiv:2506.05735
6
citations
Hessian-Free Online Certified Unlearning
Xinbao Qiao, Meng Zhang, Ming Tang et al.
ICLR 2025posterarXiv:2404.01712
5
citations
Hippocampal-like Sequential Editing for Continual Knowledge Updates in Large Language Models
Quntian Fang, Zhen Huang, Zhiliang Tian et al.
NeurIPS 2025poster
LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
Christoforos N. Spartalis, Theodoros Semertzidis, Efstratios Gavves et al.
CVPR 2025posterarXiv:2503.18314
8
citations
MUSE: Machine Unlearning Six-Way Evaluation for Language Models
Weijia Shi, Jaechan Lee, Yangsibo Huang et al.
ICLR 2025posterarXiv:2407.06460
157
citations
Towards Scalable Exact Machine Unlearning Using Parameter-Efficient Fine-Tuning
Somnath Basu Roy Chowdhury, Krzysztof Choromanski, Arijit Sehanobish et al.
ICLR 2025posterarXiv:2406.16257
22
citations
Backdoor Attacks via Machine Unlearning
Zihao Liu, Tianhao Wang, Mengdi Huai et al.
AAAI 2024paperarXiv:2510.13322
Fast Machine Unlearning without Retraining through Selective Synaptic Dampening
Jack Foster, Stefan Schoepf, Alexandra Brintrup
AAAI 2024paperarXiv:2308.07707
170
citations
In-Context Unlearning: Language Models as Few-Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju
ICML 2024poster
Rethinking Adversarial Robustness in the Context of the Right to be Forgotten
Chenxu Zhao, Wei Qian, Yangyi Li et al.
ICML 2024poster
Towards Certified Unlearning for Deep Neural Networks
Binchi Zhang, Yushun Dong, Tianhao Wang et al.
ICML 2024poster
Verification of Machine Unlearning is Fragile
Binchi Zhang, Zihan Chen, Cong Shen et al.
ICML 2024poster