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

31 January 2023

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

5 / 5 papers shown

Title
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing Vincenzo Riccio Paolo Tonella AAML 27 130 0 06 Jul 2020
Efficient Black-box Assessment of Autonomous Vehicle Safety J. Norden Matthew O'Kelly Aman Sinha 71 66 0 08 Dec 2019
Machine Learning Testing: Survey, Landscapes and Horizons Jie M. Zhang Mark Harman Lei Ma Yang Liu VLM AILaw 69 744 0 19 Jun 2019
Reasoning about Safety of Learning-Enabled Components in Autonomous Cyber-physical Systems Cumhur Erkan Tuncali J. Kapinski Hisahiro Ito Jyotirmoy V. Deshmukh 57 42 0 11 Apr 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 297 1,849 0 03 Feb 2017