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Specifying and Testing $k$-Safety Properties for Machine-Learning Models

Specifying and Testing kkk-Safety Properties for Machine-Learning Models

13 June 2022
M. Christakis
Hasan Ferit Eniser
Jörg Hoffmann
Adish Singla
Valentin Wüstholz
ArXivPDFHTML

Papers citing "Specifying and Testing $k$-Safety Properties for Machine-Learning Models"

2 / 2 papers shown
Title
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
226
1,835
0
03 Feb 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
178
932
0
21 Oct 2016
1