LLM Unlearning on Noisy Forget Sets: A Study of Incomplete, Rewritten, and Watermarked Data
- Changsheng Wang
- Yihua Zhang
- et al.
- 2025
- AISec 2025
Workshop paper
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32 results for Sijia Liu
Invariance Makes LLM Unlearning Resilient Even to Unanticipated Downstream Fine-Tuning
- Changsheng Wang
- Yihua Zhang
- et al.
- 2025
- ICML 2025
Conference paperNoisy But Forgotten: LLM Unlearning are Robust against Perturbed Data in the Wild
- Changsheng Wang
- Yihua Zhang
- et al.
- 2025
- ICML 2025
Workshop paperRethinking Unlearning for Large Reasoning Models Download PDF
- Changsheng Wang
- Chongyu Fan
- et al.
- 2025
- ICML 2025
Workshop paperPSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection
- Wei Li
- Pin-Yu Chen
- et al.
- 2025
- CVPR 2025
Conference paperWhen is Task Vector Provably Effective for Model Editing? A Generalization Analysis of Nonlinear Transformers
- Hongkang Li
- Yihua Zhang
- et al.
- 2025
- ICLR 2025
Conference paperWAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
- Jinghan Jia
- Jiancheng Liu
- et al.
- 2024
- NeurIPS 2024
Conference paperReversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference
- Jiabao Ji
- Yujian Liu
- et al.
- 2024
- NeurIPS 2024
PosterRevisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark
- Yihua Zhang
- Pingzhi Li
- et al.
- 2024
- ICML 2024
Conference paperWhat Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
- Hongkang Li
- Meng Wang
- et al.
- 2024
- ICML 2024
Conference paper