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

TBT: Targeted Neural Network Attack with Bit Trojan

Computer Vision and Pattern Recognition (CVPR), 2019
10 September 2019
Adnan Siraj Rakin
Zhezhi He
Deliang Fan
    AAML
ArXiv (abs)PDFHTML

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

13 / 113 papers shown
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
259
56
0
05 Nov 2020
Artificial Neural Networks and Fault Injection Attacks
Artificial Neural Networks and Fault Injection Attacks
Shahin Tajik
F. Ganji
SILM
232
14
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 alterationsIEEE Region 10 Conference (TENCON), 2020
Jonathan Pan
AAML
241
3
0
02 Aug 2020
T-BFA: Targeted Bit-Flip Adversarial Weight Attack
T-BFA: Targeted Bit-Flip Adversarial Weight AttackIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Adnan Siraj Rakin
Zhezhi He
Jingtao Li
Fan Yao
C. Chakrabarti
Deliang Fan
AAML
195
16
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
348
267
0
21 Jul 2020
Backdoor Learning: A Survey
Backdoor Learning: A SurveyIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Yiming Li
Yong Jiang
Zhifeng Li
Shutao Xia
AAML
580
741
0
17 Jul 2020
Odyssey: Creation, Analysis and Detection of Trojan Models
Odyssey: Creation, Analysis and Detection of Trojan ModelsIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2020
Marzieh Edraki
Nazmul Karim
Nazanin Rahnavard
Lin Wang
M. Shah
AAML
224
15
0
16 Jul 2020
Graph Backdoor
Graph Backdoor
Zhaohan Xi
Ren Pang
S. Ji
Ting Wang
AI4CEAAML
364
197
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 CorruptionAAAI Conference on Artificial Intelligence (AAAI), 2020
Xu Sun
Zhiyuan Zhang
Xuancheng Ren
Ruixuan Luo
Liangyou Li
172
45
0
10 Jun 2020
Blind Backdoors in Deep Learning Models
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAMLFedMLSILM
485
353
0
08 May 2020
Dynamic Backdoor Attacks Against Machine Learning Models
Dynamic Backdoor Attacks Against Machine Learning ModelsEuropean Symposium on Security and Privacy (EuroS&P), 2020
A. Salem
Rui Wen
Michael Backes
Shiqing Ma
Yang Zhang
AAML
334
308
0
07 Mar 2020
SNIFF: Reverse Engineering of Neural Networks with Fault Attacks
SNIFF: Reverse Engineering of Neural Networks with Fault AttacksIEEE Transactions on Reliability (IEEE Trans. Reliab.), 2020
J. Breier
Dirmanto Jap
Xiaolu Hou
S. Bhasin
Yang Liu
243
60
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 NetworksIEEE Transactions on Dependable and Secure Computing (TDSC), 2019
Yansong Gao
Yeonjae Kim
Bao Gia Doan
Zhi-Li Zhang
Gongxuan Zhang
Surya Nepal
Damith C. Ranasinghe
Hyoungshick Kim
AAML
197
110
0
23 Nov 2019
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