← Search

Lishuai Hou

2 accepted papers

2026

Fingerprinting Pre-trained Encoders under Arbitrary Downstream Fine-Tuning via Adversarial Shifting

ICML 2026poster

In the pre-training-fine-tuning paradigm, pre-trained encoders have become high-value intellectual property (IP) due to their immense training costs, necessitating robust protection. Existing fingerprinting or watermarking methods typically rely on pre-defined samples and labels, or require intrusiv…

Cited by 0SourceScholar
2025

Decoupling Memories, Muting Neurons: Towards Practical Machine Unlearning for Large Language Models

ACL 2025finding

Machine Unlearning (MU) has emerged as a promising solution for removing the influence of data that an owner wishes to unlearn from Large Language Models (LLMs). However, existing MU methods, which require tuning the entire model parameters on the unlearned data with random labels or perturbed gradi…