94 citations · 237 across the 12 of their papers we have counts for
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cs.CR2022★ 19 cited
Rethinking the Reverse-engineering of Trojan Triggers
Zhenting Wang, Kai Mei, Hailun Ding +2
Deep Neural Networks are vulnerable to Trojan (or backdoor) attacks. Reverse-engineering methods can reconstruct the trigger and thus identify affected models. Existing reverse-eng…
eess.SP2022★ 6 cited
Theoretical Analysis of Deep Neural Networks in Physical Layer Communication
Jun Liu, Haitao Zhao, Dongtang Ma +2
Recently, deep neural network (DNN)-based physical layer communication techniques have attracted considerable interest. Although their potential to enhance communication systems an…