On managing vulnerabilities in AI/ML systems

22 January 2021

Papers citing "On managing vulnerabilities in AI/ML systems"

8 / 8 papers shown

Title
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 130 135 0 10 Mar 2020
On Adaptive Attacks to Adversarial Example Defenses Florian Tramèr Nicholas Carlini Wieland Brendel Aleksander Madry AAML 274 833 0 19 Feb 2020
Adversarial Machine Learning -- Industry Perspectives Ramnath Kumar Magnus Nyström J. Lambert Andrew Marshall Mario Goertzel Andi Comissoneru Matt Swann Sharon Xia AAML SILM 89 235 0 04 Feb 2020
Failure Modes in Machine Learning Systems Ramnath Kumar David R. O'Brien Kendra Albert Salomé Viljöen Jeffrey Snover AAML 33 50 0 25 Nov 2019
On Evaluating Adversarial Robustness Nicholas Carlini Anish Athalye Nicolas Papernot Wieland Brendel Jonas Rauber Dimitris Tsipras Ian Goodfellow Aleksander Madry Alexey Kurakin ELM AAML 83 901 0 18 Feb 2019
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning Battista Biggio Fabio Roli AAML 125 1,409 0 08 Dec 2017
YOLO9000: Better, Faster, Stronger Joseph Redmon Ali Farhadi VLM ObjD 181 15,616 0 25 Dec 2016
Research Priorities for Robust and Beneficial Artificial Intelligence Stuart J. Russell Dan Dewey Max Tegmark 66 656 0 10 Feb 2016