ML/DL for Cybersecurity

• DeepSec: A Uniform Platform for Security Analysis of Deep Learning Models  Xiang Ling (Zhejiang University), Shouling Ji (Zhejiang University), Jiaxu Zou (Zhejiang University), Jiannan Wang (Zhejiang University), Chunming Wu (Zhejiang University), Bo Li (UC Berkeley), Ting Wang (Lehigh University)
• Comprehensive Privacy Analysis of Deep Learning  Milad Nasr (University of Massachusetts Amherst), Reza Shokri (National University of Singapore (NUS)), Amir Houmansadr (University of Massachusetts Amherst)
• Manipulating Machine Learning: Poisoning Attacks and Countermeasures for Regression Learning  Matthew Jagielski (Northeastern University), Alina Oprea (Northeastern University), Battista Biggio (University of Cagliari, Italy; Pluribus One, Italy), Chang Liu (UC Berkeley), Cristina Nita-Rotaru (Northeastern University), Bo Li (UC Berkeley)
• Surveylance: Automatically Detecting Online Survey Scams  Amin Kharraz (University of Illinois Urbana-Champaign),William Robertson (Northeastern University),Engin Kirda (Northeastern University)
• SecureML: A System for Scalable Privacy-Preserving Machine Learning    Payman Mohassel (Visa Research), Yupeng Zhang (University of Maryland)
• Towards Evaluating the Robustness of Neural Networks    Nicholas Carlini (University of California, Berkeley), David Wagner (University of California, Berkeley)
• AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning Jinyuan Jia and Neil Zhenqiang Gong, Iowa State University
• Machine Learning Cyberattack and Defense Strategies John A.Blanda, Mikel D.Petty, Tymaine S.Whitaker, Katia P.Maxwell, Walter Alan Cantrell

GAN for Cybersecurity

• 2017 - Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN
• 2018 - GIDS: GAN based Intrusion Detection System for In-Vehicle Network
• 2019 - IDSGAN: Generative Adversarial Networks for Attack Generation against Intrusion Detection
• 2019 - Generative Adversarial Networks for Black-Box API Attacks with Limited Training Data
• 2018 - An enhancing framework for botnet detection using generative adversarial networks
• 2020 - Adversarial Examples Detection for XSS Attacks Based on Generative Adversarial Networks
• 2020 - Generative Adversarial Attacks Against Intrusion Detection Systems Using Active Learning
• 2020 - A Brute-Force Black-Box Method to Attack Machine Learning-Based Systems in Cybersecurity