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Adversarial Examples Detection and Analysis with Layer-wise Autoencoders

Adversarial Examples Detection and Analysis with Layer-wise Autoencoders

17 June 2020
Bartosz Wójcik
P. Morawiecki
Marek Śmieja
Tomasz Krzy.zek
Przemysław Spurek
Jacek Tabor
    GAN
ArXiv (abs)PDFHTML

Papers citing "Adversarial Examples Detection and Analysis with Layer-wise Autoencoders"

9 / 9 papers shown
Adversarial Detection with a Dynamically Stable System
Adversarial Detection with a Dynamically Stable System
Xiaowei Long
Jie Lin
Xiangyuan Yang
AAML
243
0
0
11 Nov 2024
Backdoor Attacks against Hybrid Classical-Quantum Neural Networks
Backdoor Attacks against Hybrid Classical-Quantum Neural Networks
Ji Guo
Wenbo Jiang
Rui Zhang
Wenshu Fan
Jiachen Li
Guoming Lu
AAML
216
8
0
23 Jul 2024
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?
Can Adversarial Examples Be Parsed to Reveal Victim Model Information?IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Yuguang Yao
Jiancheng Liu
Yifan Gong
Xiaoming Liu
Yanzhi Wang
Xinyu Lin
Sijia Liu
AAMLMLAU
344
1
0
13 Mar 2023
Dual Graphs of Polyhedral Decompositions for the Detection of
  Adversarial Attacks
Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks
Huma Jamil
Yajing Liu
Christina Cole
Nathaniel Blanchard
E. King
Michael Kirby
C. Peterson
AAML
251
2
0
23 Nov 2022
Visual Prompting for Adversarial Robustness
Visual Prompting for Adversarial RobustnessIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Chenyi Zi
P. Lorenz
Yuguang Yao
Pin-Yu Chen
Sijia Liu
VLMVPVLM
594
45
0
12 Oct 2022
Reverse Engineering of Imperceptible Adversarial Image Perturbations
Reverse Engineering of Imperceptible Adversarial Image PerturbationsInternational Conference on Learning Representations (ICLR), 2022
Yifan Gong
Yuguang Yao
Yize Li
Yimeng Zhang
Xiaoming Liu
Xinyu Lin
Sijia Liu
AAML
376
25
0
26 Mar 2022
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution
  Detection
iDECODe: In-distribution Equivariance for Conformal Out-of-distribution DetectionAAAI Conference on Artificial Intelligence (AAAI), 2022
R. Kaur
Susmit Jha
Anirban Roy
Sangdon Park
Guang Cheng
O. Sokolsky
Insup Lee
OODD
266
52
0
07 Jan 2022
Measuring the Contribution of Multiple Model Representations in
  Detecting Adversarial Instances
Measuring the Contribution of Multiple Model Representations in Detecting Adversarial Instances
D. Steinberg
P. Munro
AAML
101
0
0
13 Nov 2021
Self-Supervised Adversarial Example Detection by Disentangled
  Representation
Self-Supervised Adversarial Example Detection by Disentangled RepresentationInternational Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2021
Zhaoxi Zhang
L. Zhang
Xufei Zheng
Jinyu Tian
Jiantao Zhou
AAMLDRL
281
10
0
08 May 2021
1
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