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DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers
2 March 2021
Colin Paterson
Haoze Wu
John M. Grese
R. Calinescu
C. Păsăreanu
Clark W. Barrett
AAML
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Papers citing
"DeepCert: Verification of Contextually Relevant Robustness for Neural Network Image Classifiers"
7 / 7 papers shown
Title
Learning Run-time Safety Monitors for Machine Learning Components
Ozan Vardal
Richard Hawkins
Colin Paterson
Chiara Picardi
Daniel Omeiza
Lars Kunze
Ibrahim Habli
25
0
0
23 Jun 2024
Efficient Neural Network Analysis with Sum-of-Infeasibilities
Haoze Wu
Aleksandar Zeljić
Guy Katz
Clark W. Barrett
AAML
39
30
0
19 Mar 2022
An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks
Matan Ostrovsky
Clark W. Barrett
Guy Katz
32
26
0
06 Jan 2022
Scaling Polyhedral Neural Network Verification on GPUs
Christoph Müller
F. Serre
Gagandeep Singh
Markus Püschel
Martin Vechev
AAML
27
56
0
20 Jul 2020
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
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,109
0
04 Nov 2016
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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