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Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using
  Cooperative Co-Evolutionary Search

Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search

31 January 2023
S. Sharifi
Donghwan Shin
Lionel C. Briand
Nathan Aschbacher
ArXivPDFHTML

Papers citing "Identifying the Hazard Boundary of ML-enabled Autonomous Systems Using Cooperative Co-Evolutionary Search"

3 / 3 papers shown
Title
System Safety Monitoring of Learned Components Using Temporal Metric
  Forecasting
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Sepehr Sharifi
Andrea Stocco
Lionel C. Briand
AI4TS
48
1
0
21 May 2024
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems
Aman Sinha
Matthew O'Kelly
Russ Tedrake
John C. Duchi
39
48
0
24 Aug 2020
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
249
1,838
0
03 Feb 2017
1