On The Empirical Effectiveness of Unrealistic Adversarial Hardening
Against Realistic Adversarial Attacks

On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks

7 February 2022

Salijona Dyrmishi

Thibault Simonetto

Papers citing "On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks"

12 / 12 papers shown

Title
TaeBench: Improving Quality of Toxic Adversarial Examples Xuan Zhu Dmitriy Bespalov Liwen You Ninad Kulkarni Yanjun Qi AAML 63 0 0 08 Oct 2024
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD ELM 45 0 0 14 Aug 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD 41 2 0 02 Jun 2024
How to Train your Antivirus: RL-based Hardening through the Problem-Space Jacopo Cortellazzi Ilias Tsingenopoulos B. Bosanský Simone Aonzo Davy Preuveneers Wouter Joosen Fabio Pierazzi Lorenzo Cavallaro 21 2 0 29 Feb 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 42 0 0 22 Feb 2024
SA-Attack: Improving Adversarial Transferability of Vision-Language Pre-training Models via Self-Augmentation Bangyan He Xiaojun Jia Siyuan Liang Tianrui Lou Yang Liu Xiaochun Cao AAML VLM 31 23 0 08 Dec 2023
Constrained Adaptive Attacks: Realistic Evaluation of Adversarial Examples and Robust Training of Deep Neural Networks for Tabular Data Thibault Simonetto Salah Ghamizi Antoine Desjardins Maxime Cordy Yves Le Traon OOD AAML 26 3 0 08 Nov 2023
How do humans perceive adversarial text? A reality check on the validity and naturalness of word-based adversarial attacks Salijona Dyrmishi Salah Ghamizi Maxime Cordy AAML 8 17 0 24 May 2023
RADAR: A TTP-based Extensible, Explainable, and Effective System for Network Traffic Analysis and Malware Detection Yashovardhan Sharma S. Birnbach Ivan Martinovic 9 5 0 07 Dec 2022
Adversarial Robustness in Multi-Task Learning: Promises and Illusions Salah Ghamizi Maxime Cordy Mike Papadakis Yves Le Traon OOD AAML 25 18 0 26 Oct 2021
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data F. Cartella Orlando Anunciação Yuki Funabiki D. Yamaguchi Toru Akishita Olivier Elshocht AAML 61 71 0 20 Jan 2021
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 245 914 0 21 Apr 2018