Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks

11 July 2021

Papers citing "Adversarial for Good? How the Adversarial ML Community's Values Impede Socially Beneficial Uses of Attacks"

4 / 4 papers shown

Title
Adversarial Machine Learning for Social Good: Reframing the Adversary as an Ally Shawqi Al-Maliki Adnan Qayyum Hassan Ali M. Abdallah Junaid Qadir D. Hoang Dusit Niyato Ala I. Al-Fuqaha AAML 34 3 0 05 Oct 2023
Expressive Losses for Verified Robustness via Convex Combinations Alessandro De Palma Rudy Bunel Krishnamurthy Dvijotham M. P. Kumar Robert Stanforth A. Lomuscio AAML 35 12 0 23 May 2023
Algorithmic Collective Action in Machine Learning Moritz Hardt Eric Mazumdar Celestine Mendler-Dünner Tijana Zrnic 13 21 0 08 Feb 2023
Catastrophic overfitting can be induced with discriminative non-robust features Guillermo Ortiz-Jiménez Pau de Jorge Amartya Sanyal Adel Bibi P. Dokania P. Frossard Grégory Rogez Philip H. S. Torr AAML 9 3 0 16 Jun 2022