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

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

14 February 2021
Felix O. Olowononi
D. Rawat
Chunmei Liu
ArXivPDFHTML

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

6 / 6 papers shown
Title
Real-time Out-of-distribution Detection in Learning-Enabled
  Cyber-Physical Systems
Real-time Out-of-distribution Detection in Learning-Enabled Cyber-Physical Systems
Feiyang Cai
X. Koutsoukos
OODD
106
68
0
28 Jan 2020
Challenges and Countermeasures for Adversarial Attacks on Deep
  Reinforcement Learning
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
43
105
0
27 Jan 2020
Instance adaptive adversarial training: Improved accuracy tradeoffs in
  neural nets
Instance adaptive adversarial training: Improved accuracy tradeoffs in neural nets
Yogesh Balaji
Tom Goldstein
Judy Hoffman
AAML
119
100
0
17 Oct 2019
Robust Deep Reinforcement Learning for Security and Safety in Autonomous
  Vehicle Systems
Robust Deep Reinforcement Learning for Security and Safety in Autonomous Vehicle Systems
A. Ferdowsi
Ursula Challita
Walid Saad
N. Mandayam
AAML
47
92
0
02 May 2018
Machine Learning DDoS Detection for Consumer Internet of Things Devices
Machine Learning DDoS Detection for Consumer Internet of Things Devices
Rohan Doshi
Noah J. Apthorpe
Nick Feamster
63
582
0
11 Apr 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
247
5,361
0
08 Jul 2016
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