2023
The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning
ICCV 2023poster
Semi-supervised learning (SSL) is gaining popularity as it reduces cost of machine learning (ML) by training high performance models using unlabeled data. In this paper, we reveal that the key feature of SSL, i.e., learning from (non-inspected) unlabeled data, exposes SSL to strong poisoning attacks…