Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS

14 February 2021

Papers citing "Resilient Machine Learning for Networked Cyber Physical Systems: A Survey for Machine Learning Security to Securing Machine Learning for CPS"

8 / 8 papers shown

Title
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems Xugui Zhou Maxfield Kouzel H. Alemzadeh OOD AAML 8 12 0 20 Apr 2022
IPAL: Breaking up Silos of Protocol-dependent and Domain-specific Industrial Intrusion Detection Systems Konrad Wolsing Eric Wagner Antoine Saillard Martin Henze 13 31 0 05 Nov 2021
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems Feiyang Cai X. Koutsoukos OODD 121 73 0 28 Jan 2020
Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning Inaam Ilahi Muhammad Usama Junaid Qadir M. Janjua Ala I. Al-Fuqaha D. Hoang Dusit Niyato AAML 59 132 0 27 Jan 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets Yogesh Balaji Tom Goldstein Judy Hoffman AAML 131 103 0 17 Oct 2019
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems A. Ferdowsi Ursula Challita Walid Saad N. Mandayam AAML 47 94 0 02 May 2018
Machine Learning DDoS Detection for Consumer Internet of Things Devices Rohan Doshi Noah J. Apthorpe Nick Feamster 92 587 0 11 Apr 2018
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,835 0 08 Jul 2016