SIG for AI and Machine Learning in Security

Scope and Objectives

The Special Interest Group for AI and Machine Learning in Security is part of the IEEE COMSOC Technical Committee on Cognitive Networks and is a venue for professional interaction between professionals interested in this area.  The group is responsible for organizing symposiums, workshops, and special issues of magazines and journals in this area; influencing telecommunications standards in the area of cognitive networks; and providing opportunities for networking between its members.

External LinkedIn Group web address

To join TCCN’s Sec-IG, please visit: https://www.linkedin.com/groups/5070076

Virtual Seminar Series

  • Open Set Wireless Transmitter Authorization: Deep Learning Approaches and Practical Considerations– Prof. Danijela Cabric, University of California, Los Angeles, USA. November 19, 2021 at 11AM ET.
    [Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
  • Brainstorming Generative Adversarial Networks (BGANs): Framework and Application to Wireless Networks– Prof. Walid Saad, Virginia Polytechnic Institute and State University, USA. October 22, 2021 at 10AM EDT.
    [Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
  • Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks– Prof. Ekram Hossain, University of Manitoba, Canada at 11AM EDT.
    [Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
  • Secure Code Execution on Untrusted Remote Devices – Prof. Gene Tsudik, UCI, USA. April 28, 2021 at 1PM EDT.
    [Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: deMMW*E2)]
  • Adversarial Machine Learning for Wireless Security in 5G and Beyond – Dr. Yalin Sagduyu, Intelligent Automation, Inc. (IAI), USA. March 26, 2021 at 10AM ET.
    [Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: +b^HF3CA)]
  • A Quick Look at New Risks Facing Wireless Systems – Prof. Wade Trappe, Rutgers University, USA. February 25, 2021 at 10AM ET.
    [Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: %DJ3BF4^)]
  • AI and Machine Leaning in Spectrum Sharing Security – Prof. Rose Qingyang Hu, Utah State University, USA. January 29, 2021 at 10AM ET.
    [Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: #+v4rh9V)]
  • Deep Convolutional Neural Networks for Device Identification – Prof. Kaushik Chowdhury, Northeastern University, USA. December 16, 2020 at 9AM ET.
    [Abstract and Author Bio] | [Registration] | [Slides] | [Recording]
  • Physical Layer Security in Wireless Networks – Prof. Vincent Poor, Princeton University. November 17, 2020 at 9AM ET.
    [Abstract and Author Bio] | [Registration] | [Slides] | [Recording (Password: %#=&2uej)]

Blog

The Sec-IG maintains a blog at: https://cognitiveradiosec.wordpress.com/

The blog aims to keep the community abreast with the latest developments in cognitive radio networking and security and will feature articles, white papers and events of interest contributed by Academia and Industry. The blog also maintains a Recommended Readings section.

If you would like to contribute material to the blog, please get in touch with Prof. Olga Leon at oleon0404@gmail.com or Prof. K.P. (Suba) Subbalakshmi (ksubbala@stevens.edu) with your ideas.

Chair

K.P. (Suba) Subbalakshmi, Stevens Institute of Technology, USA

Vice-Chair

Dola Saha, University at Albany, SUNY, USA