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Multi-Expert Adversarial Attack Detection in Person Re-identification
  Using Context Inconsistency

Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency

23 August 2021
Xueping Wang
Shasha Li
Min Liu
Yaonan Wang
A. Roy-Chowdhury
    AAML
ArXivPDFHTML

Papers citing "Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency"

6 / 6 papers shown
Title
Self-Supervised Representation Learning for Adversarial Attack Detection
Self-Supervised Representation Learning for Adversarial Attack Detection
Yi Li
Plamen Angelov
N. Suri
SSL
AAML
33
3
0
05 Jul 2024
A Comprehensive Review of Trends, Applications and Challenges In
  Out-of-Distribution Detection
A Comprehensive Review of Trends, Applications and Challenges In Out-of-Distribution Detection
Navid Ghassemi
E. F. Ersi
AAML
OODD
20
4
0
26 Sep 2022
ADC: Adversarial attacks against object Detection that evade Context
  consistency checks
ADC: Adversarial attacks against object Detection that evade Context consistency checks
Mingjun Yin
Shasha Li
Chengyu Song
M. Salman Asif
A. Roy-Chowdhury
S. Krishnamurthy
AAML
19
22
0
24 Oct 2021
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object
  Detector
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Shang-Tse Chen
Cory Cornelius
Jason Martin
Duen Horng Chau
ObjD
148
424
0
16 Apr 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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