A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space

2 December 2021

Papers citing "A Unified Framework for Adversarial Attack and Defense in Constrained Feature Space"

7 / 7 papers shown

Title
CaFA: Cost-aware, Feasible Attacks With Database Constraints Against Neural Tabular Classifiers Matan Ben-Tov Daniel Deutch Nave Frost Mahmood Sharif AAML 107 0 0 20 Jan 2025
Deep generative models as an adversarial attack strategy for tabular machine learning Salijona Dyrmishi Mihaela C. Stoian Eleonora Giunchiglia Maxime Cordy AAML LMTD 31 0 0 19 Sep 2024
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
On The Empirical Effectiveness of Unrealistic Adversarial Hardening Against Realistic Adversarial Attacks Salijona Dyrmishi Salah Ghamizi Thibault Simonetto Yves Le Traon Maxime Cordy AAML 26 16 0 07 Feb 2022
Towards Benchmark Datasets for Machine Learning Based Website Phishing Detection: An experimental study Abdelhakim Hannousse Salima Yahiouche 40 65 0 24 Oct 2020
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
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 288 3,110 0 04 Nov 2016