Rallying Adversarial Techniques against Deep Learning for Network
Security

Rallying Adversarial Techniques against Deep Learning for Network Security

27 March 2019

Joseph Clements

Hongxin Hu

Papers citing "Rallying Adversarial Techniques against Deep Learning for Network Security"

5 / 5 papers shown

Title
Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries Almuthanna Alageel Sergio Maffeis Imperial College London 39 2 0 07 Feb 2025
TAD: Transfer Learning-based Multi-Adversarial Detection of Evasion Attacks against Network Intrusion Detection Systems Islam Debicha Richard Bauwens Thibault Debatty Jean-Michel Dricot Tayeb Kenaza Wim Mees AAML 24 40 0 27 Oct 2022
Modeling Realistic Adversarial Attacks against Network Intrusion Detection Systems Giovanni Apruzzese M. Andreolini Luca Ferretti Mirco Marchetti M. Colajanni AAML 26 104 0 17 Jun 2021
Adversarial Camouflage: Hiding Physical-World Attacks with Natural Styles Ranjie Duan Xingjun Ma Yisen Wang James Bailey •. A. K. Qin Yun Yang AAML 164 224 0 08 Mar 2020
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,835 0 08 Jul 2016