FENCE: Feasible Evasion Attacks on Neural Networks in Constrained Environments

23 September 2019

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

10 / 10 papers shown

Title
Model-agnostic clean-label backdoor mitigation in cybersecurity environments Giorgio Severi Simona Boboila J. Holodnak K. Kratkiewicz Rauf Izmailov Alina Oprea Alina Oprea AAML 35 1 0 11 Jul 2024
Poisoning Network Flow Classifiers Giorgio Severi Simona Boboila Alina Oprea J. Holodnak K. Kratkiewicz J. Matterer AAML 38 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 17 13 0 18 May 2023
Learning Location from Shared Elevation Profiles in Fitness Apps: A Privacy Perspective Ulku Meteriz-Yildiran Necip Fazil Yildiran Joongheon Kim David A. Mohaisen 18 3 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 26 16 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 21 21 0 02 Dec 2021
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 28 104 0 17 Jun 2021
A New Defense Against Adversarial Images: Turning a Weakness into a Strength Tao Yu Shengyuan Hu Chuan Guo Wei-Lun Chao Kilian Q. Weinberger AAML 58 101 0 16 Oct 2019
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 examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016