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Adversarially Robust Learning Could Leverage Computational Hardness

Adversarially Robust Learning Could Leverage Computational Hardness

28 May 2019
Sanjam Garg
S. Jha
Saeed Mahloujifar
Mohammad Mahmoody
    AAML
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Papers citing "Adversarially Robust Learning Could Leverage Computational Hardness"

4 / 4 papers shown
Title
When are Local Queries Useful for Robust Learning?
When are Local Queries Useful for Robust Learning?
Pascale Gourdeau
Varun Kanade
Marta Z. Kwiatkowska
J. Worrell
OOD
40
1
0
12 Oct 2022
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them
Florian Tramèr
AAML
30
65
0
24 Jul 2021
More Data Can Expand the Generalization Gap Between Adversarially Robust
  and Standard Models
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen
Yifei Min
Mingrui Zhang
Amin Karbasi
OOD
38
64
0
11 Feb 2020
Adversarial examples from computational constraints
Adversarial examples from computational constraints
Sébastien Bubeck
Eric Price
Ilya P. Razenshteyn
AAML
65
230
0
25 May 2018
1