DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation

Zhicong Yan, Gaolei Li*, Yuan Tian, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Citations (Scopus)

Fingerprint

Dive into the research topics of 'DeHiB: Deep Hidden Backdoor Attack on Semi-supervised Learning via Adversarial Perturbation'. Together they form a unique fingerprint.

Engineering & Materials Science