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TBT: Targeted Neural Network Attack with Bit Trojan
v1v2v3 (latest)

TBT: Targeted Neural Network Attack with Bit Trojan

10 September 2019
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
    AAML
ArXiv (abs)PDFHTML

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

16 / 66 papers shown
Title
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
126
119
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
103
160
0
21 Dec 2020
Detecting Trojaned DNNs Using Counterfactual Attributions
Detecting Trojaned DNNs Using Counterfactual Attributions
Karan Sikka
Indranil Sur
Susmit Jha
Anirban Roy
Ajay Divakaran
AAML
38
13
0
03 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
87
51
0
05 Nov 2020
Artificial Neural Networks and Fault Injection Attacks
Artificial Neural Networks and Fault Injection Attacks
Shahin Tajik
F. Ganji
SILM
66
11
0
17 Aug 2020
Blackbox Trojanising of Deep Learning Models : Using non-intrusive
  network structure and binary alterations
Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations
Jonathan Pan
AAML
114
3
0
02 Aug 2020
T-BFA: Targeted Bit-Flip Adversarial Weight Attack
T-BFA: Targeted Bit-Flip Adversarial Weight Attack
Adnan Siraj Rakin
Zhezhi He
Jingtao Li
Fan Yao
C. Chakrabarti
Deliang Fan
AAML
71
13
0
24 Jul 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
129
235
0
21 Jul 2020
Backdoor Learning: A Survey
Backdoor Learning: A Survey
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
176
620
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
97
14
0
16 Jul 2020
Graph Backdoor
Graph Backdoor
Zhaohan Xi
Ren Pang
S. Ji
Ting Wang
AI4CEAAML
72
173
0
21 Jun 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
68
40
0
10 Jun 2020
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAMLFedMLSILM
163
311
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
147
278
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
77
53
0
23 Feb 2020
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep
  Neural Networks
Design and Evaluation of a Multi-Domain Trojan Detection Method on Deep Neural Networks
Yansong Gao
Yeonjae Kim
Bao Gia Doan
Zhi-Li Zhang
Gongxuan Zhang
Surya Nepal
Damith C. Ranasinghe
Hyoungshick Kim
AAML
74
92
0
23 Nov 2019
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