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Imperceptible and Multi-channel Backdoor Attack against Deep Neural
  Networks

Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks

31 January 2022
Mingfu Xue
S. Ni
Ying-Chang Wu
Yushu Zhang
Jian Wang
Weiqiang Liu
    AAML
ArXivPDFHTML

Papers citing "Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks"

13 / 13 papers shown
Title
Backdoor Attacks Against Patch-based Mixture of Experts
Backdoor Attacks Against Patch-based Mixture of Experts
Cedric Chan
Jona te Lintelo
S. Picek
AAML
MoE
335
0
0
03 May 2025
Imperceptible Backdoor Attack: From Input Space to Feature
  Representation
Imperceptible Backdoor Attack: From Input Space to Feature Representation
Nan Zhong
Zhenxing Qian
Xinpeng Zhang
AAML
44
52
0
06 May 2022
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks
  Trained from Scratch
Sleeper Agent: Scalable Hidden Trigger Backdoors for Neural Networks Trained from Scratch
Hossein Souri
Liam H. Fowl
Ramalingam Chellappa
Micah Goldblum
Tom Goldstein
SILM
47
127
0
16 Jun 2021
Deep Feature Space Trojan Attack of Neural Networks by Controlled
  Detoxification
Deep Feature Space Trojan Attack of Neural Networks by Controlled Detoxification
Shuyang Cheng
Yingqi Liu
Shiqing Ma
Xinming Zhang
AAML
54
156
0
21 Dec 2020
JPEG Steganography and Synchronization of DCT Coefficients for a Given
  Development Pipeline
JPEG Steganography and Synchronization of DCT Coefficients for a Given Development Pipeline
Théo Taburet
Patrick Bas
W. Sawaya
R. Cogranne
28
9
0
23 Mar 2020
Bypassing Backdoor Detection Algorithms in Deep Learning
Bypassing Backdoor Detection Algorithms in Deep Learning
T. Tan
Reza Shokri
FedML
AAML
53
150
0
31 May 2019
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks
STRIP: A Defence Against Trojan Attacks on Deep Neural Networks
Yansong Gao
Chang Xu
Derui Wang
Shiping Chen
Damith C. Ranasinghe
Surya Nepal
AAML
51
801
0
18 Feb 2019
Backdoor Embedding in Convolutional Neural Network Models via Invisible
  Perturbation
Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation
C. Liao
Haoti Zhong
Anna Squicciarini
Sencun Zhu
David J. Miller
SILM
67
312
0
30 Aug 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning
Xinyun Chen
Chang-rui Liu
Yue Liu
Kimberly Lu
D. Song
AAML
SILM
78
1,822
0
15 Dec 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.3K
192,638
0
10 Dec 2015
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
101
2,965
0
08 Dec 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
76
1,757
0
01 May 2015
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLM
ObjD
1.0K
39,383
0
01 Sep 2014
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