Minimal Multi-Layer Modifications of Deep Neural Networks

18 October 2021

Papers citing "Minimal Multi-Layer Modifications of Deep Neural Networks"

7 / 7 papers shown

Title
veriFIRE: Verifying an Industrial, Learning-Based Wildfire Detection System Guy Amir Ziv Freund Guy Katz Elad Mandelbaum Idan Refaeli 36 13 0 06 Dec 2022
Efficient Adversarial Input Generation via Neural Net Patching Tooba Khan Kumar Madhukar Subodh Vishnu Sharma AAML 11 0 0 30 Nov 2022
Verifying Learning-Based Robotic Navigation Systems Guy Amir Davide Corsi Raz Yerushalmi Luca Marzari D. Harel Alessandro Farinelli Guy Katz 92 37 0 26 May 2022
An Abstraction-Refinement Approach to Verifying Convolutional Neural Networks Matan Ostrovsky Clark W. Barrett Guy Katz 32 26 0 06 Jan 2022
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks D. Gopinath Guy Katz C. Păsăreanu Clark W. Barrett AAML 42 87 0 02 Oct 2017
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 Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 180 932 0 21 Oct 2016