Title
Safe Machine Learning and Defeating Adversarial Attacks
Abstract
Adversarial attacks have exposed the unreliability of machine-learning (ML) models for decision making in autonomous agents. This article discusses recent research for ML model assurance in the face of adversarial attacks.
Year
DOI
Venue
2019
10.1109/MSEC.2018.2888779
IEEE Security & Privacy
Field
DocType
Volume
Data modeling,Autonomous agent,Computer security,Computer science,Redundancy (engineering),Adversarial system
Journal
17
Issue
ISSN
Citations 
2
1540-7993
3
PageRank 
References 
Authors
0.45
0
4
Name
Order
Citations
PageRank
Bita Darvish Rouhani19913.53
Mohammad Samragh2387.01
Tara Javidi380678.83
Farinaz Koushanfar43055268.84