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Attack Agnostic Detection of Adversarial Examples via Random Subspace
  Analysis

Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis

11 December 2020
Nathan G. Drenkow
Neil Fendley
Philippe Burlina
    AAML
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Papers citing "Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis"

2 / 2 papers shown
Title
Graph-based methods coupled with specific distributional distances for
  adversarial attack detection
Graph-based methods coupled with specific distributional distances for adversarial attack detection
dwight nwaigwe
Lucrezia Carboni
Martial Mermillod
Sophie Achard
M. Dojat
AAML
32
3
0
31 May 2023
CNN-Cert: An Efficient Framework for Certifying Robustness of
  Convolutional Neural Networks
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks
Akhilan Boopathy
Tsui-Wei Weng
Pin-Yu Chen
Sijia Liu
Luca Daniel
AAML
108
138
0
29 Nov 2018
1