Generic Black-Box End-to-End Attack Against State of the Art API Call Based Malware Classifiers
Authors: Ishai Rosenberg, Asaf Shabtai, Lior Rokach, Yuval Elovici | Published: 2017-07-19 | Updated: 2018-06-24
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Houdini: Fooling Deep Structured Prediction Models
Authors: Moustapha Cisse, Yossi Adi, Natalia Neverova, Joseph Keshet | Published: 2017-07-17
Foolbox: A Python toolbox to benchmark the robustness of machine learning models
Authors: Jonas Rauber, Wieland Brendel, Matthias Bethge | Published: 2017-07-13 | Updated: 2018-03-20
Process Monitoring on Sequences of System Call Count Vectors
Authors: Michael Dymshits, Ben Myara, David Tolpin | Published: 2017-07-12
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Authors: Jiajun Lu, Hussein Sibai, Evan Fabry, David Forsyth | Published: 2017-07-12
A Survey on Resilient Machine Learning
Authors: Atul Kumar, Sameep Mehta | Published: 2017-07-11
A Machine Learning Based Intrusion Detection System for Software Defined 5G Network
Authors: Jiaqi Li, Zhifeng Zhao, Rongpeng Li | Published: 2017-07-10
6thSense: A Context-aware Sensor-based Attack Detector for Smart Devices
Authors: Amit Kumar Sikder, Hidayet Aksu, A. Selcuk Uluagac | Published: 2017-06-30
Towards Deep Learning Models Resistant to Adversarial Attacks
Authors: Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, Adrian Vladu | Published: 2017-06-19 | Updated: 2019-09-04
Automated Poisoning Attacks and Defenses in Malware Detection Systems: An Adversarial Machine Learning Approach
Authors: Sen Chen, Minhui Xue, Lingling Fan, Shuang Hao, Lihua Xu, Haojin Zhu, Bo Li | Published: 2017-06-13 | Updated: 2017-10-31