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Rethinking the Trigger of Backdoor Attack

Rethinking the Trigger of Backdoor Attack

9 April 2020
Yiming Li
Tongqing Zhai
Baoyuan Wu
Yong-jia Jiang
Zhifeng Li
Shutao Xia
    LLMSV
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Papers citing "Rethinking the Trigger of Backdoor Attack"

37 / 37 papers shown
Title
SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
SFIBA: Spatial-based Full-target Invisible Backdoor Attacks
Yangxu Yin
H. Chen
Yudong Gao
Peng Sun
Zhiyu Li
Wen Liu
AAML
45
0
0
29 Apr 2025
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions
Xiao Yang
Gaolei Li
Jianhua Li
AAML
AI4CE
56
1
0
08 Jan 2025
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated
  Learning
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning
Xiao-ying Gan
Shanyu Gan
Taizhi Su
Peng Liu
FedML
35
0
0
31 May 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
33
1
0
23 Feb 2024
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
68
3
0
20 Nov 2023
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor
  Attack
Everyone Can Attack: Repurpose Lossy Compression as a Natural Backdoor Attack
Sze Jue Yang
Q. Nguyen
Chee Seng Chan
Khoa D. Doan
AAML
DiffM
37
0
0
31 Aug 2023
Black-box Backdoor Defense via Zero-shot Image Purification
Black-box Backdoor Defense via Zero-shot Image Purification
Yucheng Shi
Mengnan Du
Xuansheng Wu
Zihan Guan
Jin Sun
Ninghao Liu
51
28
0
21 Mar 2023
CUDA: Convolution-based Unlearnable Datasets
CUDA: Convolution-based Unlearnable Datasets
Vinu Sankar Sadasivan
Mahdi Soltanolkotabi
S. Feizi
MU
29
25
0
07 Mar 2023
Backdoor Learning for NLP: Recent Advances, Challenges, and Future
  Research Directions
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
Marwan Omar
SILM
AAML
40
20
0
14 Feb 2023
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
Shuyang Cheng
Guanhong Tao
Yingqi Liu
Shengwei An
Xiangzhe Xu
...
Guangyu Shen
Kaiyuan Zhang
Qiuling Xu
Shiqing Ma
Xiangyu Zhang
AAML
31
15
0
16 Jan 2023
Rethinking Backdoor Data Poisoning Attacks in the Context of
  Semi-Supervised Learning
Rethinking Backdoor Data Poisoning Attacks in the Context of Semi-Supervised Learning
Marissa Connor
Vincent Emanuele
SILM
AAML
33
1
0
05 Dec 2022
Poison Attack and Defense on Deep Source Code Processing Models
Poison Attack and Defense on Deep Source Code Processing Models
Jia Li
Zhuo Li
Huangzhao Zhang
Ge Li
Zhi Jin
Xing Hu
Xin Xia
AAML
48
16
0
31 Oct 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated
  Learning
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning
Kaiyuan Zhang
Guanhong Tao
Qiuling Xu
Shuyang Cheng
Shengwei An
...
Shiwei Feng
Guangyu Shen
Pin-Yu Chen
Shiqing Ma
Xiangyu Zhang
FedML
47
53
0
23 Oct 2022
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
Marksman Backdoor: Backdoor Attacks with Arbitrary Target Class
Khoa D. Doan
Yingjie Lao
Ping Li
39
40
0
17 Oct 2022
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?
Yi Zeng
Minzhou Pan
Himanshu Jahagirdar
Ming Jin
Lingjuan Lyu
R. Jia
AAML
39
21
0
12 Oct 2022
An Adaptive Black-box Defense against Trojan Attacks (TrojDef)
An Adaptive Black-box Defense against Trojan Attacks (TrojDef)
Guanxiong Liu
Abdallah Khreishah
Fatima Sharadgah
Issa M. Khalil
AAML
33
8
0
05 Sep 2022
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact
  DNN
RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN
Huy Phan
Cong Shi
Yi Xie
Tian-Di Zhang
Zhuohang Li
Tianming Zhao
Jian-Dong Liu
Yan Wang
Ying-Cong Chen
Bo Yuan
AAML
35
6
0
22 Aug 2022
Defense against Backdoor Attacks via Identifying and Purifying Bad
  Neurons
Defense against Backdoor Attacks via Identifying and Purifying Bad Neurons
Mingyuan Fan
Yang Liu
Cen Chen
Ximeng Liu
Wenzhong Guo
AAML
21
4
0
13 Aug 2022
DECK: Model Hardening for Defending Pervasive Backdoors
DECK: Model Hardening for Defending Pervasive Backdoors
Guanhong Tao
Yingqi Liu
Shuyang Cheng
Shengwei An
Zhuo Zhang
Qiuling Xu
Guangyu Shen
Xiangyu Zhang
AAML
31
7
0
18 Jun 2022
Security for Machine Learning-based Software Systems: a survey of
  threats, practices and challenges
Security for Machine Learning-based Software Systems: a survey of threats, practices and challenges
Huaming Chen
Muhammad Ali Babar
AAML
42
22
0
12 Jan 2022
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural
  Networks
Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks
Xiangyu Qi
Tinghao Xie
Ruizhe Pan
Jifeng Zhu
Yong-Liang Yang
Kai Bu
AAML
35
57
0
25 Nov 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Anti-Backdoor Learning: Training Clean Models on Poisoned Data
Yige Li
X. Lyu
Nodens Koren
Lingjuan Lyu
Bo Li
Xingjun Ma
OnRL
31
322
0
22 Oct 2021
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
Backdoor Attacks on Pre-trained Models by Layerwise Weight Poisoning
Linyang Li
Demin Song
Xiaonan Li
Jiehang Zeng
Ruotian Ma
Xipeng Qiu
33
135
0
31 Aug 2021
Defending Against Backdoor Attacks in Natural Language Generation
Defending Against Backdoor Attacks in Natural Language Generation
Xiaofei Sun
Xiaoya Li
Yuxian Meng
Xiang Ao
Fei Wu
Jiwei Li
Tianwei Zhang
AAML
SILM
31
47
0
03 Jun 2021
Robust Backdoor Attacks against Deep Neural Networks in Real Physical
  World
Robust Backdoor Attacks against Deep Neural Networks in Real Physical World
Mingfu Xue
Can He
Shichang Sun
Jian Wang
Weiqiang Liu
AAML
34
43
0
15 Apr 2021
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural
  Networks by Examining Differential Feature Symmetry
EX-RAY: Distinguishing Injected Backdoor from Natural Features in Neural Networks by Examining Differential Feature Symmetry
Yingqi Liu
Guangyu Shen
Guanhong Tao
Zhenting Wang
Shiqing Ma
Xinming Zhang
AAML
40
8
0
16 Mar 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
31
154
0
21 Dec 2020
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor
  Attacks for Data Collection Scenarios
HaS-Nets: A Heal and Select Mechanism to Defend DNNs Against Backdoor Attacks for Data Collection Scenarios
Hassan Ali
Surya Nepal
S. Kanhere
S. Jha
AAML
27
12
0
14 Dec 2020
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks
  using Data Augmentation
DeepSweep: An Evaluation Framework for Mitigating DNN Backdoor Attacks using Data Augmentation
Han Qiu
Yi Zeng
Shangwei Guo
Tianwei Zhang
Meikang Qiu
B. Thuraisingham
AAML
24
191
0
13 Dec 2020
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
183
357
0
07 Dec 2020
Backdoor Attack against Speaker Verification
Backdoor Attack against Speaker Verification
Tongqing Zhai
Yiming Li
Zi-Mou Zhang
Baoyuan Wu
Yong Jiang
Shutao Xia
AAML
34
99
0
22 Oct 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive
  Review
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review
Yansong Gao
Bao Gia Doan
Zhi-Li Zhang
Siqi Ma
Jiliang Zhang
Anmin Fu
Surya Nepal
Hyoungshick Kim
AAML
36
221
0
21 Jul 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
45
592
0
17 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks
Yunfei Liu
Xingjun Ma
James Bailey
Feng Lu
AAML
22
505
0
05 Jul 2020
Backdoor Attacks Against Deep Learning Systems in the Physical World
Backdoor Attacks Against Deep Learning Systems in the Physical World
Emily Wenger
Josephine Passananti
A. Bhagoji
Yuanshun Yao
Haitao Zheng
Ben Y. Zhao
AAML
31
200
0
25 Jun 2020
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
FedML
SILM
46
298
0
08 May 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
353
5,849
0
08 Jul 2016
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