most citedRA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy

3 citations · 3 across the 1 of their papers we have counts for

collaborators

2 papers

cs.LG2021★ 3 cited

RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy

Adnan Siraj Rakin, Li Yang, Jingtao Li +5

Recently developed adversarial weight attack, a.k.a. bit-flip attack (BFA), has shown enormous success in compromising Deep Neural Network (DNN) performance with an extremely small…

cs.LG2020

T-BFA: Targeted Bit-Flip Adversarial Weight Attack

Adnan Siraj Rakin, Zhezhi He, Jingtao Li +3

Traditional Deep Neural Network (DNN) security is mostly related to the well-known adversarial input example attack. Recently, another dimension of adversarial attack, namely, atta…