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Imperceptible Backdoor Attack: From Input Space to Feature
  Representation

Imperceptible Backdoor Attack: From Input Space to Feature Representation

6 May 2022
Nan Zhong
Zhenxing Qian
Xinpeng Zhang
    AAML
ArXivPDFHTML

Papers citing "Imperceptible Backdoor Attack: From Input Space to Feature Representation"

25 / 25 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
214
0
0
03 May 2025
AnywhereDoor: Multi-Target Backdoor Attacks on Object Detection
Jialin Lu
Junjie Shan
Ziqi Zhao
Ka-Ho Chow
AAML
56
0
0
09 Mar 2025
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm
LADDER: Multi-objective Backdoor Attack via Evolutionary Algorithm
Dazhuang Liu
Yanqi Qiao
Rui Wang
K. Liang
Georgios Smaragdakis
AAML
80
0
0
28 Nov 2024
Data Poisoning-based Backdoor Attack Framework against Supervised
  Learning Rules of Spiking Neural Networks
Data Poisoning-based Backdoor Attack Framework against Supervised Learning Rules of Spiking Neural Networks
Lingxin Jin
Meiyu Lin
Wei Jiang
Jinyu Zhan
AAML
SILM
26
2
0
24 Sep 2024
Understanding Data Importance in Machine Learning Attacks: Does Valuable
  Data Pose Greater Harm?
Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?
Rui Wen
Michael Backes
Yang Zhang
TDI
AAML
44
0
0
05 Sep 2024
Revocable Backdoor for Deep Model Trading
Revocable Backdoor for Deep Model Trading
Yiran Xu
Nan Zhong
Zhenxing Qian
Xinpeng Zhang
AAML
35
0
0
01 Aug 2024
BadActs: A Universal Backdoor Defense in the Activation Space
BadActs: A Universal Backdoor Defense in the Activation Space
Biao Yi
Sishuo Chen
Yiming Li
Tong Li
Baolei Zhang
Zheli Liu
AAML
50
5
0
18 May 2024
The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a
  Clean Model on Poisoned Data
The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data
Zixuan Zhu
Rui Wang
Cong Zou
Lihua Jing
AAML
FedML
34
3
0
17 Apr 2024
A general approach to enhance the survivability of backdoor attacks by
  decision path coupling
A general approach to enhance the survivability of backdoor attacks by decision path coupling
Yufei Zhao
Dingji Wang
Bihuan Chen
Ziqian Chen
Xin Peng
AAML
32
0
0
05 Mar 2024
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm
Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm
Yanqi Qiao
Dazhuang Liu
Rui Wang
Kaitai Liang
AAML
28
1
0
23 Feb 2024
Backdoor Attack against One-Class Sequential Anomaly Detection Models
Backdoor Attack against One-Class Sequential Anomaly Detection Models
He Cheng
Shuhan Yuan
SILM
AAML
27
1
0
15 Feb 2024
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control
Imperio: Language-Guided Backdoor Attacks for Arbitrary Model Control
Ka-Ho Chow
Wenqi Wei
Lei Yu
24
4
0
02 Jan 2024
Physical Invisible Backdoor Based on Camera Imaging
Physical Invisible Backdoor Based on Camera Imaging
Yusheng Guo
Nan Zhong
Zhenxing Qian
Xinpeng Zhang
DiffM
19
2
0
14 Sep 2023
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on
  Federated Learning
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning
Yanqi Qiao
Dazhuang Liu
Congwen Chen
Rui Wang
Kaitai Liang
FedML
AAML
44
1
0
31 Aug 2023
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives
Yudong Gao
Honglong Chen
Peng Sun
Junjian Li
Anqing Zhang
Zhibo Wang
AAML
45
13
0
03 Jul 2023
Mask and Restore: Blind Backdoor Defense at Test Time with Masked
  Autoencoder
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder
Tao Sun
Lu Pang
Chao Chen
Haibin Ling
AAML
43
9
0
27 Mar 2023
Do Backdoors Assist Membership Inference Attacks?
Do Backdoors Assist Membership Inference Attacks?
Yumeki Goto
Nami Ashizawa
Toshiki Shibahara
Naoto Yanai
MIACV
25
2
0
22 Mar 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
Look, Listen, and Attack: Backdoor Attacks Against Video Action
  Recognition
Look, Listen, and Attack: Backdoor Attacks Against Video Action Recognition
Hasan Hammoud
Shuming Liu
Mohammad Alkhrashi
Fahad Albalawi
Guohao Li
AAML
34
8
0
03 Jan 2023
M-to-N Backdoor Paradigm: A Multi-Trigger and Multi-Target Attack to
  Deep Learning Models
M-to-N Backdoor Paradigm: A Multi-Trigger and Multi-Target Attack to Deep Learning Models
Linshan Hou
Zhongyun Hua
Yuhong Li
Yifeng Zheng
Leo Yu Zhang
AAML
32
2
0
03 Nov 2022
TrojViT: Trojan Insertion in Vision Transformers
TrojViT: Trojan Insertion in Vision Transformers
Mengxin Zheng
Qian Lou
Lei Jiang
16
52
0
27 Aug 2022
Circumventing Backdoor Defenses That Are Based on Latent Separability
Circumventing Backdoor Defenses That Are Based on Latent Separability
Xiangyu Qi
Tinghao Xie
Yiming Li
Saeed Mahloujifar
Prateek Mittal
AAML
14
11
0
26 May 2022
Towards a Defense Against Federated Backdoor Attacks Under Continuous
  Training
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training
Shuai Wang
J. Hayase
Giulia Fanti
Sewoong Oh
FedML
31
5
0
24 May 2022
Imperceptible and Multi-channel Backdoor Attack against Deep Neural
  Networks
Imperceptible and Multi-channel Backdoor Attack against Deep Neural Networks
Mingfu Xue
S. Ni
Ying-Chang Wu
Yushu Zhang
Jian Wang
Weiqiang Liu
AAML
32
13
0
31 Jan 2022
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning
Lun Wang
Zaynah Javed
Xian Wu
Wenbo Guo
Masashi Sugiyama
D. Song
AAML
197
64
0
02 May 2021
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