Backdoor attacks have emerged as a prominent threat to natural language
...
Self-supervised learning in computer vision trains on unlabeled data, su...
Deep Learning backdoor attacks have a threat model similar to traditiona...
We conduct a systematic study of backdoor vulnerabilities in normally tr...
Federated Learning (FL) is a distributed learning paradigm that enables
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Pervasive backdoors are triggered by dynamic and pervasive input
perturb...
We develop a novel optimization method for NLPbackdoor inversion. We lev...
Backdoor attack injects malicious behavior to models such that inputs
em...
Back-door attack poses a severe threat to deep learning systems. It inje...
Aerial imagery has been increasingly adopted in mission-critical tasks, ...
Semantic segmentation is one of the most impactful applications of machi...