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Omni: Automated Ensemble with Unexpected Models against Adversarial
  Evasion Attack

Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack

23 November 2020
Rui Shu
Tianpei Xia
Laurie A. Williams
Tim Menzies
    AAML
ArXivPDFHTML

Papers citing "Omni: Automated Ensemble with Unexpected Models against Adversarial Evasion Attack"

3 / 3 papers shown
Title
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive
  Attackers for Security Applications
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications
Hangsheng Zhang
Jiqiang Liu
Jinsong Dong
AAML
21
1
0
20 Jan 2024
A Tale of Two Cities: Data and Configuration Variances in Robust Deep
  Learning
A Tale of Two Cities: Data and Configuration Variances in Robust Deep Learning
Guanqin Zhang
Jiankun Sun
Feng Xu
H.M.N. Dilum Bandara
Shiping Chen
Yulei Sui
Tim Menzies
OOD
15
0
0
18 Nov 2022
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,842
0
08 Jul 2016
1