[Om-announce] CFP: WiseML 2019 (Miami, FL, USA, May 14, 2019) (Submission due - April 15, 2019)

[Mathieu Cunche]

Dear colleagues,

Apologies for multiple postings.

-----------------------------------------
WiseML 2019, Miami, FL, USA, May 14, 2019
-----------------------------------------

ACM Workshop on Wireless Security and Machine Learning (WiseML 2019)

In conjunction with ACM Conference on Security and Privacy in Wireless
and Mobile Networks (WiSec 2019)

May 14, 2019, Miami, FL, USA

https://wisec19.fiu.edu/workshops-wiseml



---------------------------
CALL FOR PAPERS
---------------------------

Artificial Intelligence (AI) and Machine Learning (ML) have been found
to be invaluable tools for a diverse and far-reaching set of
applications ranging from traditionally thought of image recognition
and natural language processing applications to cyber security and
autonomous navigation. In recent years, applications of AI/ML have
emerged in the wireless communications domain, forming a major
ingredient of a more general topic area, colloquially referred to as
Radio Frequency Machine Learning (RFML). In particular, ML systems
based upon state-of-the-art deep learning architectures, powered by
the ever-increasing hardware accelerations for computing, have been
deployed for spectrum sensing applications (signal detection,
estimation, classification, and identification), channel estimation,
emitter identification, cognitive jamming and anti-jamming, among many
others.

In the more established AI/ML domains, recent research has
demonstrated the efficacy of utilizing Adversarial Machine Learning
(AML) to negatively impact the performance of AI/ML systems.
Additionally, vulnerabilities to the privacy and security of these
systems, and the data used to train the systems, has been exposed.
However, the impact of these concepts to RFML technologies is at
present underdeveloped. Therefore, it is a timely research effort to
investigate the interaction of RFML with wireless security, privacy,
and robustness.

Given these facts, the purpose of this workshop is to bring together
members of the AI/ML, RFML, privacy, security, and wireless
communications communities from around the world in order for them to
share the latest research findings in these emerging and critical
areas, as well as to exchange ideas and foster research
collaborations, in order to further advance the state-of-the-art in
security techniques, architectures, and algorithms for AI/ML in
wireless communications.



Topics of Interest (but not limited to):

Adversarial ML Techniques

- Evasion attacks

- Poisoning attacks

- Trojan/backdoor attacks

- Generative adversarial learning



Privacy and Security Issues of ML Solutions

- Membership inference attacks

- Model inversion

- Physical layer privacy/privacy



Hardening ML Solutions

- Intrusion detection

- Physical unclonable function (PUF)

- Privacy-preserving learning

- Secure learning

- Hardware and software implementations

- Testbeds and experiments

- Datasets	



Relevant ML Applications

- Device identification

- RF fingerprinting

- Smart jamming

- Localization

- Covert communications

- Authentication

- Anonymity

- Intrusion detection

- IoT security



Workshop Chairs:

Dr. William C. Headley, Virginia Tech

Dr. Zhuo Lu, University of South Florida

Dr. Yalin E. Sagduyu, Intelligent Automation Inc.

Dr. Yi Shi, Intelligent Automation Inc. and Virginia Tech



Steering Committee:

Dr. Wenjing Lou, Virginia Tech

Dr. Alan Michaels, Virginia Tech

Dr. George Stantchev, Naval Research Laboratory

Dr. Sennur Ulukus, University of Maryland



Submission Guidelines:

Submission site: https://wiseml19.hotcrp.com

Workshop Extended Abstracts must be written in English, must be
formatted in the standard ACM conference style, and are not to exceed
three pages.

Workshop Papers must be written in English, must be formatted in the
standard ACM conference style, and are not to exceed six pages.

Only Adobe PDF files will be accepted for the review process of both
abstracts and papers.



Important Dates:

Extended Abstract Submission Deadline:          April 15, 2019

Acceptance Notification:                        April 25, 2019

Camera-Ready Paper Submission:                  May 2, 2019

Workshop Event:                                 May 14, 2019