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Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks

Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks

Khondoker Murad Hossain
Tim Oates
    AAML
ArXiv (abs)PDFHTML

Papers citing "Advancing Security in AI Systems: A Novel Approach to Detecting Backdoors in Deep Neural Networks"

3 / 3 papers shown
Title
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems
Wenbo Guo
Lun Wang
Masashi Sugiyama
Min Du
Basel Alomair
73
230
0
02 Aug 2019
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain
Tianyu Gu
Brendan Dolan-Gavitt
S. Garg
SILM
130
1,782
0
22 Aug 2017
Image Captioning with Semantic Attention
Image Captioning with Semantic Attention
Quanzeng You
Hailin Jin
Zhaowen Wang
Chen Fang
Jiebo Luo
VLM
174
1,662
0
12 Mar 2016