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Model Agnostic Defence against Backdoor Attacks in Machine Learning
IEEE Transactions on Reliability (IEEE Trans. Reliab.), 2019
6 August 2019
Sakshi Udeshi
Shanshan Peng
Gerald Woo
Lionell Loh
Louth Rawshan
Sudipta Chattopadhyay
AAML
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Papers citing
"Model Agnostic Defence against Backdoor Attacks in Machine Learning"
6 / 56 papers shown
Input-Aware Dynamic Backdoor Attack
A. Nguyen
Anh Tran
AAML
351
497
0
16 Oct 2020
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
IEEE 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
You Autocomplete Me: Poisoning Vulnerabilities in Neural Code Completion
R. Schuster
Congzheng Song
Eran Tromer
Vitaly Shmatikov
SILM
AAML
419
185
0
05 Jul 2020
Blind Backdoors in Deep Learning Models
Eugene Bagdasaryan
Vitaly Shmatikov
AAML
FedML
SILM
488
353
0
08 May 2020
Towards Backdoor Attacks and Defense in Robust Machine Learning Models
Computers & security (CS), 2020
E. Soremekun
Sakshi Udeshi
Sudipta Chattopadhyay
AAML
238
14
0
25 Feb 2020
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