4 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.CR2024
Mudjacking: Patching Backdoor Vulnerabilities in Foundation Models
Hongbin Liu, Michael K. Reiter, Neil Zhenqiang Gong
Foundation model has become the backbone of the AI ecosystem. In particular, a foundation model can be used as a general-purpose feature extractor to build various downstream class…
cs.CR2022★ 4 cited
Semi-Leak: Membership Inference Attacks Against Semi-supervised Learning
Xinlei He, Hongbin Liu, Neil Zhenqiang Gong +1
Semi-supervised learning (SSL) leverages both labeled and unlabeled data to train machine learning (ML) models. State-of-the-art SSL methods can achieve comparable performance to s…