[agents] Call for Book Chapters: Adversarial Machine Learning in Cyber-security (Springer AI)
Prithviraj Dasgupta
prithviraj.dasgupta at nrl.navy.mil
Tue Jul 9 16:28:53 EDT 2019
CALL FOR CHAPTER CONTRIBUTIONS
Adversary-aware Learning Techniques and Trends in Cybersecurity
(forthcoming title in Springer - Artificial Intelligence)
Website: https://sites.google.com/view/alec-springer-book
TOPICS OF INTEREST
We invite chapter contributions that address current technology trends
and solutions, open issues, critical challenges, hard problems, and
survey articles in the area of adversarial machine learning relevant to
cyber-security. Topics of interest include, but are not limited to the
following:
* Adversary-aware Machine Learning - Reinforcement Learning, Lifelong
Learning, Deep Learning
* Adversarial leaning for cybersecurity problems such as network
intrusion detection, malware detection, Web spoofing, phishing, etc.
* Generative Adversarial Networks
* Adversary- aware Prediction, Forecasting and Decision Making Techniques
* Game Theory and Game Playing to counter adversarial learning
* Adversarial Issues and Techniques for Cyber-Physical Systems,
Adversarial Robotics
* Operations Research related to Adversarial Learning
* Applications of Adversarial Learning
* Security Threats and Vulnerabilities from Adversarial Learning
* Human factors and adversarial learning with human-in-the-loop
IMPORTANT DATES
October 15, 2019: Deadline for Manuscript submissions
December 15, 2019: Review notifications
December 31, 2019: Revised manuscripts due
January 1, 2020: Final accept/reject decision
January 15, 2020: Deadline for camera ready submissions
Second quarter of 2020: Publication
SUBMISSION INSTRUCTIONS
Manuscripts should be formatted using Springer style guidelines for MS
Word and Latex available on the book Website above. Page length of
submitted manuscripts should not exceed 20 pages including references.
Manuscripts should be submitted in pdf format via Easychair at
https://easychair.org/conferences/?conf=alec19
EDITORS
Prithviraj Dasgupta, Joseph Collins, Ranjeev Mittu
Distributed Intelligent Systems Section, Information Technology Division
U.S. Naval Research Laboratory, Washington, D.C.
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