[Faculty] Fwd: [CSRC.COLLOQUIUM] "Towards Secure and Robust AI/ML for Intelligent Networking Systems"

[Jose Castillo]

[image: SDSU_CSRC Logo.jpg]


DATE:
*Friday, December 9, 2022*


TITLE:
*Towards Secure and Robust AI/ML for Intelligent Networking Systems *




TIME:
*3:30-4:30PM*



LOCATION:
*In Person - GMCS 314*

SPEAKER/BIO:
*Shengjie Xu, Management Information Systems, San Diego State University*



ABSTRACT:
The rapid and successful advances of artificial intelligence (AI) and
machine learning (ML) offer security researchers and practitioners new
approaches and platforms to explore and investigate challenging issues
emerging in many safety-critical systems. While AI and ML can be adopted to
identify threats more accurately and prevent cyberattacks more efficiently,
cybersecurity professionals must respond to the increasingly sophisticated
motivations from adversaries. Modern intelligent networking systems have
been maliciously manipulated, evaded, and misled, causing significant
security incidents in financial systems, cyber-physical systems, and many
other critical domains.

Bio: Dr. Shengjie Xu is an assistant professor in the Management
Information Systems Department at SDSU. His research interests are
cybersecurity, trustworthy AI and robust machine learning, secure edge
computing, and critical infrastructure protection. He serves as a Technical
Editor for IEEE Wireless Communications. He is the lead author of the book
"Cybersecurity in Intelligent Networking Systems" (John Wiley/IEEE Press,
2022). He is the recipient of the IET Journals Premium Award for Best Paper
in 2020. He holds multiple professional certifications in cybersecurity and
computer networking.


Host:
*Jose Castillo*

Note: Videos of previous colloquium talks can be seen on the CSRC website
in the colloquium archive section or on the CSRC YouTube page here
<https://www.youtube.com/channel/UCN0ZEztlmyDqG2pm-Rle_Eg/feed>.



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