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Stochastic sparse adversarial attacks

Stochastic sparse adversarial attacks

24 November 2020
M. Césaire
Théo Combey
H. Hajri
Sylvain Lamprier
Patrick Gallinari
    AAML
ArXivPDFHTML

Papers citing "Stochastic sparse adversarial attacks"

6 / 6 papers shown
Title
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà
Jérôme Rony
Maura Pintor
Christian Scano
Ambra Demontis
Battista Biggio
Ismail Ben Ayed
Fabio Roli
ELM
AAML
SILM
46
8
0
30 Apr 2024
Riemannian data-dependent randomized smoothing for neural networks
  certification
Riemannian data-dependent randomized smoothing for neural networks certification
Pol Labarbarie
H. Hajri
M. Arnaudon
31
4
0
21 Jun 2022
Improving Robustness of Deep Reinforcement Learning Agents: Environment
  Attack based on the Critic Network
Improving Robustness of Deep Reinforcement Learning Agents: Environment Attack based on the Critic Network
L. Schott
H. Hajri
Sylvain Lamprier
AAML
21
3
0
07 Apr 2021
Probabilistic Jacobian-based Saliency Maps Attacks
Probabilistic Jacobian-based Saliency Maps Attacks
Théo Combey
António Loison
Maxime Faucher
H. Hajri
AAML
21
19
0
12 Jul 2020
Sparse-RS: a versatile framework for query-efficient sparse black-box
  adversarial attacks
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Francesco Croce
Maksym Andriushchenko
Naman D. Singh
Nicolas Flammarion
Matthias Hein
26
99
0
23 Jun 2020
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
317
5,847
0
08 Jul 2016
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