A systematic review of fuzzing based on machine learning techniques
Authors: Yan Wang, Peng Jia, Luping Liu, Jiayong Liu | Published: 2019-08-04
Machine Learning
On the Veracity of Cyber Intrusion Alerts Synthesized by Generative Adversarial Networks
Authors: Christopher Sweet, Stephen Moskal, Shanchieh Jay Yang | Published: 2019-08-03
Exploring the Robustness of NMT Systems to Nonsensical Inputs
Authors: Akshay Chaturvedi, Abijith KP, Utpal Garain | Published: 2019-08-03 | Updated: 2020-02-28
Implementing SCADA Scenarios and Introducing Attacks to Obtain Training Data for Intrusion Detection Methods
Authors: Simon Duque Antón, Michael Gundall, Daniel Fraunholz, Hans Dieter Schotten | Published: 2019-05-28
CharBot: A Simple and Effective Method for Evading DGA Classifiers
Authors: Jonathan Peck, Claire Nie, Raaghavi Sivaguru, Charles Grumer, Femi Olumofin, Bin Yu, Anderson Nascimento, Martine De Cock | Published: 2019-05-03 | Updated: 2019-05-30
Locally Differentially Private Naive Bayes Classification
Authors: Emre Yilmaz, Mohammad Al-Rubaie, J. Morris Chang | Published: 2019-05-03
Generative Adversarial Network for Wireless Signal Spoofing
Authors: Yi Shi, Kemal Davaslioglu, Yalin E. Sagduyu | Published: 2019-05-03 | Updated: 2019-05-07
Mimic Learning to Generate a Shareable Network Intrusion Detection Model
Authors: Ahmed Shafee, Mohamed Baza, Douglas A. Talbert, Mostafa M. Fouda, Mahmoud Nabil, Mohamed Mahmoud | Published: 2019-05-02 | Updated: 2020-02-18
You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle
Authors: Dinghuai Zhang, Tianyuan Zhang, Yiping Lu, Zhanxing Zhu, Bin Dong | Published: 2019-05-02 | Updated: 2019-11-01
Extracting vehicle sensor signals from CAN logs for driver re-identification
Authors: Szilvia Lestyan, Gergely Acs, Gergely Biczok, Zsolt Szalay | Published: 2019-02-24 | Updated: 2019-10-25