Risk Assessment for Machine Learning Models

9 November 2020

Papers citing "Risk Assessment for Machine Learning Models"

5 / 5 papers shown

Title
A Two-Sided Discussion of Preregistration of NLP Research Anders Søgaard Daniel Hershcovich Miryam de Lhoneux OnRL AI4CE 30 3 0 20 Feb 2023
Selecting Models based on the Risk of Damage Caused by Adversarial Attacks Jona Klemenc Holger Trittenbach AAML 24 1 0 28 Jan 2023
A Software Engineering Perspective on Engineering Machine Learning Systems: State of the Art and Challenges G. Giray 25 120 0 14 Dec 2020
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 228 1,837 0 03 Feb 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,835 0 08 Jul 2016