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SAD: Saliency-based Defenses Against Adversarial Examples

SAD: Saliency-based Defenses Against Adversarial Examples

10 March 2020
Richard Tran
David Patrick
Michaela Geyer
Amanda Fernandez
    AAML
ArXivPDFHTML

Papers citing "SAD: Saliency-based Defenses Against Adversarial Examples"

4 / 4 papers shown
Title
TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
TS-SAM: Fine-Tuning Segment-Anything Model for Downstream Tasks
Yang Yu
Cheng-Zhong Xu
Kai Wang
VLM
45
1
0
03 Aug 2024
Shield: Fast, Practical Defense and Vaccination for Deep Learning using
  JPEG Compression
Shield: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Nilaksh Das
Madhuri Shanbhogue
Shang-Tse Chen
Fred Hohman
Siwei Li
Li-Wei Chen
Michael E. Kounavis
Duen Horng Chau
FedML
AAML
43
224
0
19 Feb 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
293
3,110
0
04 Nov 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
287
5,837
0
08 Jul 2016
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