Optimism in the Face of Adversity: Understanding and Improving Deep
Learning through Adversarial Robustness

Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness

19 October 2020

Guillermo Ortiz-Jiménez

Apostolos Modas

Seyed-Mohsen Moosavi-Dezfooli

Papers citing "Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness"

14 / 14 papers shown

Title
S $^4$ ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack Yongxiang Liu Bowen Peng Li Liu X. Li 105 0 0 13 Oct 2024
Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained Models Guillermo Ortiz-Jiménez Alessandro Favero P. Frossard MoMe 37 103 0 22 May 2023
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems Fabian Altekrüger Paul Hagemann Gabriele Steidl TPM 21 9 0 28 Mar 2023
TransFool: An Adversarial Attack against Neural Machine Translation Models Sahar Sadrizadeh Ljiljana Dolamic P. Frossard SILM AAML 31 12 0 02 Feb 2023
Adversarial Detection by Approximation of Ensemble Boundary T. Windeatt AAML 24 0 0 18 Nov 2022
A neural anisotropic view of underspecification in deep learning Guillermo Ortiz-Jiménez I. Salazar-Reque Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard 26 6 0 29 Apr 2021
Bio-inspired Robustness: A Review Harshitha Machiraju Oh-hyeon Choung P. Frossard Michael H. Herzog AAML 25 1 0 16 Mar 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning Konstantinos P. Panousis S. Chatzis Antonios Alexos Sergios Theodoridis BDL AAML OOD 56 19 0 04 Jan 2021
Solving Inverse Problems With Deep Neural Networks -- Robustness Included? Martin Genzel Jan Macdonald M. März AAML OOD 19 101 0 09 Nov 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 223 437 0 25 Sep 2019
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 230 789 0 26 Aug 2019
Learning Adversarially Fair and Transferable Representations David Madras Elliot Creager T. Pitassi R. Zemel FaML 233 673 0 17 Feb 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 226 1,835 0 03 Feb 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,833 0 08 Jul 2016