Adversarial Attacks, Regression, and Numerical Stability Regularization

7 December 2018

Papers citing "Adversarial Attacks, Regression, and Numerical Stability Regularization"

8 / 8 papers shown

Title
Fooling Neural Networks for Motion Forecasting via Adversarial Attacks Edgar Medina Leyong Loh AAML 66 0 0 07 Mar 2024
On the Robustness of Decision-Focused Learning Yehya Farhat 75 0 0 28 Nov 2023
Physics-Guided Adversarial Machine Learning for Aircraft Systems Simulation Houssem Ben Braiek Thomas Reid Foutse Khomh AAML 34 3 0 07 Sep 2022
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems Yaniv Nemcovsky Matan Yaakoby A. Bronstein Chaim Baskin AAML 79 8 0 11 Jul 2022
Adversarial Transfer Attacks With Unknown Data and Class Overlap Luke E. Richards A. Nguyen Ryan Capps Steven D. Forsythe Cynthia Matuszek Edward Raff AAML 85 7 0 23 Sep 2021
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 121 48 0 19 Oct 2020
Towards a Theoretical Understanding of the Robustness of Variational Autoencoders A. Camuto M. Willetts Stephen J. Roberts Chris Holmes Tom Rainforth AAML DRL 65 31 0 14 Jul 2020
A Survey of Machine Learning Methods and Challenges for Windows Malware Classification Edward Raff Charles K. Nicholas AAML 70 57 0 15 Jun 2020