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1805.09938
Cited By
Automated Verification of Neural Networks: Advances, Challenges and Perspectives
25 May 2018
Francesco Leofante
Nina Narodytska
Luca Pulina
A. Tacchella
AAML
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Papers citing
"Automated Verification of Neural Networks: Advances, Challenges and Perspectives"
12 / 12 papers shown
Title
When Deep Learning Meets Polyhedral Theory: A Survey
Joey Huchette
Gonzalo Muñoz
Thiago Serra
Calvin Tsay
AI4CE
94
33
0
29 Apr 2023
The Power of Typed Affine Decision Structures: A Case Study
Gerrit Nolte
Maximilian Schlüter
Alnis Murtovi
Bernhard Steffen
AAML
20
3
0
28 Apr 2023
On Neural Network Equivalence Checking using SMT Solvers
Charis Eleftheriadis
Nikolaos Kekatos
Panagiotis Katsaros
S. Tripakis
AAML
24
12
0
22 Mar 2022
NeVer 2.0: Learning, Verification and Repair of Deep Neural Networks
Dario Guidotti
Luca Pulina
A. Tacchella
3DV
17
3
0
18 Nov 2020
Model-Based and Data-Driven Strategies in Medical Image Computing
Daniel Rueckert
Julia A. Schnabel
OOD
MedIm
AI4CE
28
50
0
23 Sep 2019
Algorithms for Verifying Deep Neural Networks
Changliu Liu
Tomer Arnon
Christopher Lazarus
Christopher A. Strong
Clark W. Barrett
Mykel J. Kochenderfer
AAML
36
393
0
15 Mar 2019
Optimization Problems for Machine Learning: A Survey
Claudio Gambella
Bissan Ghaddar
Joe Naoum-Sawaya
AI4CE
30
178
0
16 Jan 2019
Abduction-Based Explanations for Machine Learning Models
Alexey Ignatiev
Nina Narodytska
Sasha Rubin
FAtt
20
219
0
26 Nov 2018
Verification of Recurrent Neural Networks Through Rule Extraction
Qinglong Wang
Kaixuan Zhang
Xue Liu
C. Lee Giles
AAML
28
18
0
14 Nov 2018
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks
D. Gopinath
Guy Katz
C. Păsăreanu
Clark W. Barrett
AAML
50
87
0
02 Oct 2017
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
Safety Verification of Deep Neural Networks
Xiaowei Huang
Marta Kwiatkowska
Sen Wang
Min Wu
AAML
180
932
0
21 Oct 2016
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