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BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by
  Adversarial Attacks

BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks

14 March 2021
M. Vemparala
Alexander Frickenstein
Nael Fasfous
Lukas Frickenstein
Qi Zhao
Sabine Kuhn
Daniel Ehrhardt
Yuankai Wu
C. Unger
N. S. Nagaraja
W. Stechele
    AAML
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Papers citing "BreakingBED -- Breaking Binary and Efficient Deep Neural Networks by Adversarial Attacks"

2 / 2 papers shown
Title
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural
  Networks
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks
Peng Zhao
Jiehua Zhang
Bowen Peng
Longguang Wang
Yingmei Wei
Yu Liu
Li Liu
AAML
32
0
0
21 Dec 2023
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
1