Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
- Changsheng Wang
- Yihua Zhang
- et al.
- 2025
- ICML 2025
Publications
51 results for Nathalie Baracaldo
MAP: Multi-Human-Value Alignment Palette
- Xinran Wang
- Qi Le
- et al.
- 2025
- ICLR 2025
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2024
- NeurIPS 2024
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics
- Junyuan Hong
- Carl Yang
- et al.
- 2024
- KDD 2024
Split, Unlearn, Merge: Leveraging Data Attributes for More Effective Unlearning in LLMs
- Swanand Ravindra Kadhe
- Farhan Ahmed
- et al.
- 2024
- ICML 2024
Byzantine-Resilient Bilevel Federated Learning
- Momin Abbas
- Yi Zhou
- et al.
- 2024
- SAM 2024
Machine Unlearning in Computer Vision: Foundations and Applications
- Sijia Liu
- Yang Liu
- et al.
- 2024
- CVPR 2024
Data Forging Is Harder Than You Think
- 2024
- ICLR 2024
Enhancing In-context Learning via Linear Probe Calibration
- Momin Abbas
- Yi Zhou
- et al.
- 2024
- AISTATS 2024
Is Federated Learning Still Alive in the Foundation Model Era?
- 2024
- AAAI-SS 2024