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Backdoor Attack Detection in Computer Vision by Applying Matrix
  Factorization on the Weights of Deep Networks

Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks

15 December 2022
Khondoker Murad Hossain
Tim Oates
    AAML
ArXivPDFHTML

Papers citing "Backdoor Attack Detection in Computer Vision by Applying Matrix Factorization on the Weights of Deep Networks"

3 / 3 papers shown
Title
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
29
1
0
13 Mar 2024
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems
Mathew J. Walter
Aaron Barrett
Kimberly Tam
22
5
0
08 Dec 2023
SentiNet: Detecting Localized Universal Attacks Against Deep Learning
  Systems
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Edward Chou
Florian Tramèr
Giancarlo Pellegrino
AAML
168
287
0
02 Dec 2018
1