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Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised
  Defense

Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense

13 September 2024
Jeremy A. Styborski
Mingzhi Lyu
Y. Huang
Adams Kong
ArXivPDFHTML

Papers citing "Exploiting Supervised Poison Vulnerability to Strengthen Self-Supervised Defense"

4 / 4 papers shown
Title
Efficient and Effective Augmentation Strategy for Adversarial Training
Efficient and Effective Augmentation Strategy for Adversarial Training
Sravanti Addepalli
Samyak Jain
R. Venkatesh Babu
AAML
62
58
0
27 Oct 2022
On Feature Decorrelation in Self-Supervised Learning
On Feature Decorrelation in Self-Supervised Learning
Tianyu Hua
Wenxiao Wang
Zihui Xue
Sucheng Ren
Yue Wang
Hang Zhao
SSL
OOD
119
187
0
02 May 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
314
5,775
0
29 Apr 2021
On the surprising similarities between supervised and self-supervised
  models
On the surprising similarities between supervised and self-supervised models
Robert Geirhos
Kantharaju Narayanappa
Benjamin Mitzkus
Matthias Bethge
Felix Wichmann
Wieland Brendel
OOD
SSL
DRL
69
46
0
16 Oct 2020
1