FENCE: Feasible Evasion Attacks on Neural Networks in Constrained
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FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments

23 September 2019

Alesia Chernikova

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Papers citing "FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments"

16 / 16 papers shown

Title
Insights on Adversarial Attacks for Tabular Machine Learning via a Systematic Literature Review Salijona Dyrmishi Mohamed Djilani Thibault Simonetto Salah Ghamizi Maxime Cordy AAML LMTD 34 0 0 18 Jun 2025
On the Robustness of Tabular Foundation Models: Test-Time Attacks and In-Context Defenses Mohamed Djilani Thibault Simonetto Karim Tit Florian Tambon Paul Récamier Salah Ghamizi Maxime Cordy Mike Papadakis AAML 40 0 0 03 Jun 2025
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations Hamid Bostani Zhengyu Zhao Veelasha Moonsamy AAML 60 0 0 27 Aug 2024
TabularBench: Benchmarking Adversarial Robustness for Tabular Deep Learning in Real-world Use-cases Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD ELM 93 4 0 14 Aug 2024
Model-agnostic clean-label backdoor mitigation in cybersecurity environments Giorgio Severi Simona Boboila J. Holodnak K. Kratkiewicz Rauf Izmailov Alina Oprea Alina Oprea AAML 81 1 0 11 Jul 2024
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data Thibault Simonetto Salah Ghamizi Maxime Cordy AAML OOD 82 5 0 02 Jun 2024
Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks Andrea Venturi Dario Stabili Mirco Marchetti AAML 62 1 0 18 Mar 2024
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 59 3 0 08 Nov 2023
Poisoning Network Flow Classifiers Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 58 4 0 02 Jun 2023
Deep PackGen: A Deep Reinforcement Learning Framework for Adversarial Network Packet Generation Soumyadeep Hore Jalal Ghadermazi Diwas Paudel Ankit Shah Tapas K. Das Nathaniel D. Bastian AAML 54 14 0 18 May 2023
A Mutation-based Text Generation for Adversarial Machine Learning Applications Jesus Guerrero G. Liang I. Alsmadi DeLMO MedIm 59 1 0 21 Dec 2022
Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective Ulku Meteriz-Yildiran Necip Fazil Yildiran Joongheon Kim David A. Mohaisen 36 4 0 27 Oct 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 84 20 0 07 Feb 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 74 25 0 02 Dec 2021
Fixed Points in Cyber Space: Rethinking Optimal Evasion Attacks in the Age of AI-NIDS Christian Schroeder de Witt Yongchao Huang Philip Torr Martin Strohmeier AAML 66 3 0 23 Nov 2021
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 97 109 0 17 Jun 2021