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08/04/2023
ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
Backdoor attacks have emerged as a prominent threat to natural language ...
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03/23/2023
Detecting Backdoors in Pre-trained Encoders
Self-supervised learning in computer vision trains on unlabeled data, su...
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01/16/2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
Deep Learning backdoor attacks have a threat model similar to traditiona...
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10/23/2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Federated Learning (FL) is a distributed learning paradigm that enables ...
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05/19/2020