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Theoretical Understanding of Learning from Adversarial Perturbations

Theoretical Understanding of Learning from Adversarial Perturbations

16 February 2024
Soichiro Kumano
Hiroshi Kera
Toshihiko Yamasaki
    AAML
ArXivPDFHTML

Papers citing "Theoretical Understanding of Learning from Adversarial Perturbations"

2 / 2 papers shown
Title
Can Adversarial Training Be Manipulated By Non-Robust Features?
Can Adversarial Training Be Manipulated By Non-Robust Features?
Lue Tao
Lei Feng
Hongxin Wei
Jinfeng Yi
Sheng-Jun Huang
Songcan Chen
AAML
81
16
0
31 Jan 2022
Towards Understanding Learning in Neural Networks with Linear Teachers
Towards Understanding Learning in Neural Networks with Linear Teachers
Roei Sarussi
Alon Brutzkus
Amir Globerson
FedML
MLT
55
20
0
07 Jan 2021
1