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Amicable Aid: Perturbing Images to Improve Classification Performance

Amicable Aid: Perturbing Images to Improve Classification Performance

9 December 2021
Juyeop Kim
Jun-Ho Choi
Soobeom Jang
Jong-Seok Lee
    AAML
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Papers citing "Amicable Aid: Perturbing Images to Improve Classification Performance"

5 / 5 papers shown
Title
Unlearnable Examples: Making Personal Data Unexploitable
Unlearnable Examples: Making Personal Data Unexploitable
Hanxun Huang
Xingjun Ma
S. Erfani
James Bailey
Yisen Wang
MIACV
156
190
0
13 Jan 2021
Unadversarial Examples: Designing Objects for Robust Vision
Unadversarial Examples: Designing Objects for Robust Vision
Hadi Salman
Andrew Ilyas
Logan Engstrom
Sai H. Vemprala
A. Madry
Ashish Kapoor
WIGM
64
59
0
22 Dec 2020
Disentangling Adversarial Robustness and Generalization
Disentangling Adversarial Robustness and Generalization
David Stutz
Matthias Hein
Bernt Schiele
AAML
OOD
191
273
0
03 Dec 2018
Constructing Unrestricted Adversarial Examples with Generative Models
Constructing Unrestricted Adversarial Examples with Generative Models
Yang Song
Rui Shu
Nate Kushman
Stefano Ermon
GAN
AAML
185
302
0
21 May 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
288
3,110
0
04 Nov 2016
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