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AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks

AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks

IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020
19 February 2020
Tianlin Li
Siyue Wang
Pin-Yu Chen
Xinyu Lin
Peter Chin
    AAML
ArXiv (abs)PDFHTML

Papers citing "AdvMS: A Multi-source Multi-cost Defense Against Adversarial Attacks"

2 / 2 papers shown
Resilience from Diversity: Population-based approach to harden models
  against adversarial attacks
Resilience from Diversity: Population-based approach to harden models against adversarial attacks
Jasser Jasser
Ivan I. Garibay
AAML
206
2
0
19 Nov 2021
A Survey of Machine Learning Techniques in Adversarial Image Forensics
A Survey of Machine Learning Techniques in Adversarial Image ForensicsComputers & security (CS), 2020
Ehsan Nowroozi
Ali Dehghantanha
R. Parizi
K. Choo
AAML
266
80
0
19 Oct 2020
1
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