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20182025
most citedDetecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

228 citations · 270 across the 10 of their papers we have counts for

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Showing 2020Show all

2 papers · 1 filter

cs.LG2020

Adaptive Verifiable Training Using Pairwise Class Similarity

Shiqi Wang, Kevin Eykholt, Taesung Lee +2

Verifiable training has shown success in creating neural networks that are provably robust to a given amount of noise. However, despite only enforcing a single robustness criterion…

cs.LG2020

Backdoor Smoothing: Demystifying Backdoor Attacks on Deep Neural Networks

Kathrin Grosse, Taesung Lee, Battista Biggio +3

Backdoor attacks mislead machine-learning models to output an attacker-specified class when presented a specific trigger at test time. These attacks require poisoning the training…