Adversarial Robustness in Multi-Task Learning: Promises and Illusions

26 October 2021

Papers citing "Adversarial Robustness in Multi-Task Learning: Promises and Illusions"

7 / 7 papers shown

Title
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 28 2 0 06 Feb 2023
On Evaluating Adversarial Robustness of Chest X-ray Classification: Pitfalls and Best Practices Salah Ghamizi Maxime Cordy Michail Papadakis Yves Le Traon OOD 11 2 0 15 Dec 2022
Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve Giannis Daras Negin Raoof Zoi Gkalitsiou A. Dimakis 19 2 0 20 Oct 2022
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning Nilaksh Das ShengYun Peng Duen Horng Chau AAML 22 2 0 02 Apr 2022
A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space Thibault Simonetto Salijona Dyrmishi Salah Ghamizi Maxime Cordy Yves Le Traon AAML 19 21 0 02 Dec 2021
VLocNet++: Deep Multitask Learning for Semantic Visual Localization and Odometry Noha Radwan Abhinav Valada Wolfram Burgard 70 240 0 23 Apr 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 264 3,110 0 04 Nov 2016