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Vulnerabilities of Connectionist AI Applications: Evaluation and Defence

Vulnerabilities of Connectionist AI Applications: Evaluation and Defence

18 March 2020
Christian Berghoff
Matthias Neu
Arndt von Twickel
    AAML
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Papers citing "Vulnerabilities of Connectionist AI Applications: Evaluation and Defence"

3 / 3 papers shown
Title
Learning Certifiably Optimal Rule Lists for Categorical Data
Learning Certifiably Optimal Rule Lists for Categorical Data
E. Angelino
Nicholas Larus-Stone
Daniel Alabi
Margo Seltzer
Cynthia Rudin
48
195
0
06 Apr 2017
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
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
1