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On Certifying Non-uniform Bound against Adversarial Attacks

On Certifying Non-uniform Bound against Adversarial Attacks

15 March 2019
Chen Liu
Ryota Tomioka
V. Cevher
    AAML
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Papers citing "On Certifying Non-uniform Bound against Adversarial Attacks"

8 / 8 papers shown
Title
The Fundamental Limits of Interval Arithmetic for Neural Networks
The Fundamental Limits of Interval Arithmetic for Neural Networks
M. Mirman
Maximilian Baader
Martin Vechev
17
6
0
09 Dec 2021
Localized Uncertainty Attacks
Localized Uncertainty Attacks
Ousmane Amadou Dia
Theofanis Karaletsos
C. Hazirbas
Cristian Canton Ferrer
I. Kabul
E. Meijer
AAML
21
2
0
17 Jun 2021
Adversarial Robustness with Non-uniform Perturbations
Adversarial Robustness with Non-uniform Perturbations
Ece Naz Erdemir
Jeffrey Bickford
Luca Melis
Sergul Aydore
AAML
16
26
0
24 Feb 2021
Robustness Certification of Generative Models
Robustness Certification of Generative Models
M. Mirman
Timon Gehr
Martin Vechev
AAML
35
22
0
30 Apr 2020
Semantics Preserving Adversarial Learning
Semantics Preserving Adversarial Learning
Ousmane Amadou Dia
Elnaz Barshan
Reza Babanezhad
AAML
GAN
21
2
0
10 Mar 2019
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
228
1,835
0
03 Feb 2017
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
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