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Robust Design of Deep Neural Networks against Adversarial Attacks based
  on Lyapunov Theory

Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory

12 November 2019
Arash Rahnama
A. Nguyen
Edward Raff
    AAML
ArXivPDFHTML

Papers citing "Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory"

4 / 4 papers shown
Title
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
51
2
0
27 May 2024
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Mian
Navid Kardan
M. Shah
AAML
38
236
0
01 Aug 2021
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
249
1,842
0
03 Feb 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,847
0
08 Jul 2016
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