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T-BFA: Targeted Bit-Flip Adversarial Weight Attack

T-BFA: Targeted Bit-Flip Adversarial Weight Attack

24 July 2020
Adnan Siraj Rakin
Zhezhi He
Jingtao Li
Fan Yao
C. Chakrabarti
Deliang Fan
    AAML
ArXivPDFHTML

Papers citing "T-BFA: Targeted Bit-Flip Adversarial Weight Attack"

3 / 3 papers shown
Title
A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural
  Networks
A Closer Look at Evaluating the Bit-Flip Attack Against Deep Neural Networks
Kevin Hector
Mathieu Dumont
Pierre-Alain Moëllic
J. Dutertre
AAML
27
4
0
28 Sep 2022
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush
  Deep Neural Network in Multi-Tenant FPGA
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Adnan Siraj Rakin
Yukui Luo
Xiaolin Xu
Deliang Fan
AAML
25
49
0
05 Nov 2020
Slalom: Fast, Verifiable and Private Execution of Neural Networks in
  Trusted Hardware
Slalom: Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware
Florian Tramèr
Dan Boneh
FedML
114
395
0
08 Jun 2018
1