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TBT: Targeted Neural Network Attack with Bit Trojan

TBT: Targeted Neural Network Attack with Bit Trojan

10 September 2019
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
    AAML
ArXivPDFHTML

Papers citing "TBT: Targeted Neural Network Attack with Bit Trojan"

43 / 43 papers shown
Title
GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion
GaussTrap: Stealthy Poisoning Attacks on 3D Gaussian Splatting for Targeted Scene Confusion
Jiaxin Hong
Sixu Chen
Shuoyang Sun
Hongyao Yu
Hao Fang
Yuqi Tan
Bin Chen
Shuhan Qi
Jiawei Li
3DGS
AAML
167
0
0
29 Apr 2025
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
32
0
0
31 Aug 2023
Beating Backdoor Attack at Its Own Game
Beating Backdoor Attack at Its Own Game
Min Liu
Alberto L. Sangiovanni-Vincentelli
Xiangyu Yue
AAML
65
11
0
28 Jul 2023
A Proxy Attack-Free Strategy for Practically Improving the Poisoning
  Efficiency in Backdoor Attacks
A Proxy Attack-Free Strategy for Practically Improving the Poisoning Efficiency in Backdoor Attacks
Ziqiang Li
Hong Sun
Pengfei Xia
Beihao Xia
Xue Rui
Wei Zhang
Qinglang Guo
Bin Li
AAML
32
8
0
14 Jun 2023
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Aegis: Mitigating Targeted Bit-flip Attacks against Deep Neural Networks
Jialai Wang
Ziyuan Zhang
Meiqi Wang
Han Qiu
Tianwei Zhang
Qi Li
Zongpeng Li
Tao Wei
Chao Zhang
AAML
22
20
0
27 Feb 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
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
33
20
0
14 Feb 2023
BDMMT: Backdoor Sample Detection for Language Models through Model
  Mutation Testing
BDMMT: Backdoor Sample Detection for Language Models through Model Mutation Testing
Jiali Wei
Ming Fan
Wenjing Jiao
Wuxia Jin
Ting Liu
AAML
29
11
0
25 Jan 2023
Federated Learning Attacks and Defenses: A Survey
Federated Learning Attacks and Defenses: A Survey
Yao Chen
Yijie Gui
Hong Lin
Wensheng Gan
Yongdong Wu
FedML
44
29
0
27 Nov 2022
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive
  Learning
CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive Learning
Jinghuai Zhang
Hongbin Liu
Jinyuan Jia
Neil Zhenqiang Gong
AAML
35
20
0
15 Nov 2022
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Backdoor Attacks for Remote Sensing Data with Wavelet Transform
Nikolaus Drager
Yonghao Xu
Pedram Ghamisi
AAML
23
13
0
15 Nov 2022
Dormant Neural Trojans
Dormant Neural Trojans
Feisi Fu
Panagiota Kiourti
Wenchao Li
AAML
30
0
0
02 Nov 2022
Understanding Impacts of Task Similarity on Backdoor Attack and
  Detection
Understanding Impacts of Task Similarity on Backdoor Attack and Detection
Di Tang
Rui Zhu
Xiaofeng Wang
Haixu Tang
Yi Chen
AAML
24
5
0
12 Oct 2022
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset
  Copyright Protection
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection
Yiming Li
Yang Bai
Yong Jiang
Yong-Liang Yang
Shutao Xia
Bo Li
AAML
56
98
0
27 Sep 2022
Data-free Backdoor Removal based on Channel Lipschitzness
Data-free Backdoor Removal based on Channel Lipschitzness
Runkai Zheng
Rong Tang
Jianze Li
Li Liu
AAML
23
104
0
05 Aug 2022
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers
Limin Yang
Zhi Chen
Jacopo Cortellazzi
Feargus Pendlebury
Kevin Tu
Fabio Pierazzi
Lorenzo Cavallaro
Gang Wang
AAML
20
36
0
11 Feb 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That
  Backfire
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire
Siddhartha Datta
N. Shadbolt
AAML
36
7
0
28 Jan 2022
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object
  Detectors in the Physical World
Dangerous Cloaking: Natural Trigger based Backdoor Attacks on Object Detectors in the Physical World
Hua Ma
Yinshan Li
Yansong Gao
A. Abuadbba
Zhi-Li Zhang
Anmin Fu
Hyoungshick Kim
S. Al-Sarawi
N. Surya
Derek Abbott
21
34
0
21 Jan 2022
Neighboring Backdoor Attacks on Graph Convolutional Network
Neighboring Backdoor Attacks on Graph Convolutional Network
Liang Chen
Qibiao Peng
Jintang Li
Yang Liu
Jiawei Chen
Yong Li
Zibin Zheng
GNN
AAML
32
11
0
17 Jan 2022
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping
Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping
B. Ghavami
Seyd Movi
Zhenman Fang
Lesley Shannon
AAML
40
9
0
25 Dec 2021
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
33
57
0
25 Nov 2021
Get a Model! Model Hijacking Attack Against Machine Learning Models
Get a Model! Model Hijacking Attack Against Machine Learning Models
A. Salem
Michael Backes
Yang Zhang
AAML
15
28
0
08 Nov 2021
TESDA: Transform Enabled Statistical Detection of Attacks in Deep Neural
  Networks
TESDA: Transform Enabled Statistical Detection of Attacks in Deep Neural Networks
C. Amarnath
Aishwarya H. Balwani
Kwondo Ma
Abhijit Chatterjee
AAML
18
3
0
16 Oct 2021
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
FooBaR: Fault Fooling Backdoor Attack on Neural Network Training
J. Breier
Xiaolu Hou
Martín Ochoa
Jesus Solano
SILM
AAML
39
8
0
23 Sep 2021
Adversarial Parameter Defense by Multi-Step Risk Minimization
Adversarial Parameter Defense by Multi-Step Risk Minimization
Zhiyuan Zhang
Ruixuan Luo
Xuancheng Ren
Qi Su
Liangyou Li
Xu Sun
AAML
25
6
0
07 Sep 2021
How to Inject Backdoors with Better Consistency: Logit Anchoring on
  Clean Data
How to Inject Backdoors with Better Consistency: Logit Anchoring on Clean Data
Zhiyuan Zhang
Lingjuan Lyu
Weiqiang Wang
Lichao Sun
Xu Sun
21
35
0
03 Sep 2021
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Hidden Backdoors in Human-Centric Language Models
Hidden Backdoors in Human-Centric Language Models
Shaofeng Li
Hui Liu
Tian Dong
Benjamin Zi Hao Zhao
Minhui Xue
Haojin Zhu
Jialiang Lu
SILM
35
147
0
01 May 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
PointBA: Towards Backdoor Attacks in 3D Point Cloud
PointBA: Towards Backdoor Attacks in 3D Point Cloud
Xinke Li
Zhirui Chen
Yue Zhao
Zekun Tong
Yabang Zhao
A. Lim
Qiufeng Wang
3DPC
AAML
60
51
0
30 Mar 2021
Black-box Detection of Backdoor Attacks with Limited Information and
  Data
Black-box Detection of Backdoor Attacks with Limited Information and Data
Yinpeng Dong
Xiao Yang
Zhijie Deng
Tianyu Pang
Zihao Xiao
Hang Su
Jun Zhu
AAML
21
112
0
24 Mar 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
30
8
0
16 Mar 2021
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Guangyu Shen
Yingqi Liu
Guanhong Tao
Shengwei An
Qiuling Xu
Shuyang Cheng
Shiqing Ma
Xinming Zhang
AAML
39
117
0
09 Feb 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
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush
  Deep Neural Network in Multi-Tenant FPGA
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA
Adnan Siraj Rakin
Yukui Luo
Xiaolin Xu
Deliang Fan
AAML
25
49
0
05 Nov 2020
Artificial Neural Networks and Fault Injection Attacks
Artificial Neural Networks and Fault Injection Attacks
Shahin Tajik
F. Ganji
SILM
13
10
0
17 Aug 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
220
0
21 Jul 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
45
589
0
17 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models
Odyssey: Creation, Analysis and Detection of Trojan Models
Marzieh Edraki
Nazmul Karim
Nazanin Rahnavard
Ajmal Mian
M. Shah
AAML
28
13
0
16 Jul 2020
Exploring the Vulnerability of Deep Neural Networks: A Study of
  Parameter Corruption
Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption
Xu Sun
Zhiyuan Zhang
Xuancheng Ren
Ruixuan Luo
Liangyou Li
27
39
0
10 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
Dynamic Backdoor Attacks Against Machine Learning Models
Dynamic Backdoor Attacks Against Machine Learning Models
A. Salem
Rui Wen
Michael Backes
Shiqing Ma
Yang Zhang
AAML
39
270
0
07 Mar 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
J. Breier
Dirmanto Jap
Xiaolu Hou
S. Bhasin
Yang Liu
17
52
0
23 Feb 2020
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