133 citations · 340 across the 8 of their papers we have counts for
4 papers · 1 filter
Contrastive Credibility Propagation for Reliable Semi-Supervised Learning
Brody Kutt, Pralay Ramteke, Xavier Mignot +6
Producing labels for unlabeled data is error-prone, making semi-supervised learning (SSL) troublesome. Often, little is known about when and why an algorithm fails to outperform a…
Free-riders in Federated Learning: Attacks and Defenses
Jierui Lin, Min Du, Jian Liu
Federated learning is a recently proposed paradigm that enables multiple clients to collaboratively train a joint model. It allows clients to train models locally, and leverages th…
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy
Min Du, Ruoxi Jia, Dawn Song
Outlier detection and novelty detection are two important topics for anomaly detection. Suppose the majority of a dataset are drawn from a certain distribution, outlier detection a…
Curriculum Adversarial Training
Qi-Zhi Cai, Min Du, Chang Liu +1
Recently, deep learning has been applied to many security-sensitive applications, such as facial authentication. The existence of adversarial examples hinders such applications. Th…