IEEE Military Communications Conference
28 October – 1 November 2024 // Washington, DC, USA
C5I Technologies for Military and Intelligence Operations Today and Tomorrow

Resilient AI/ML for Securing the Cyber and Tactical Edge Domains (RAISED)

Scope, topics, and rationale
Achieving real-time situational awareness through AI/ML algorithms executed across the cyber and edge domains is of fundamental strategic importance in tactical scenarios. This implies that ensuring the resilience of AI/ML algorithms against intentional and unintentional interference is essential to guarantee seamless and continuous operations in congested and contested environments.

The RAISED workshop seeks to increase understanding of theory, scalable algorithms, and applications, and highlight challenges in the context of resilient AI/ML in both the cyber and edge domains. RAISED will be highlighted by an invited speaker from an influential researcher in the resilient AI/ML field. We will also organize a panel composed of eminent researchers to discuss the vision and next steps for resilient AI/ML in cyber and edge domains.

As part of RAISED, we will invite the submission of technical papers including recent research results, works in progress, and vision papers on resilient AI/ML for secure operations in cyber and edge domains.

Topics of interested to the RAISED workshop include, but are not limited to:

• Design of adversarial AI/ML techniques
• Defenses against adversarial AI/ML techniques
• Dynamic adaptation of AI/ML algorithms for real-time resilience
• Emerging topics in resilient AI/ML, including neuro-symbolic AI/ML
• Defenses against adversarial AI/ML in resource-constrained networks and under uncertainty
• Distributed AI/ML techniques for cyber defense

Format of the workshop (half-day/full-day, anticipated number of refereed papers, demonstrations, talks, keynotes, panels, etc.): full-day

Proposed workshop agenda:
0830 Welcome & Overview of Workshop
0840 Paper Session #1

30 mins Technical Paper 1.1
30 mins Technical Paper 1.2
30 mins Technical Paper 1.3

1010 Break

1030 Keynote Talk
1130 Paper Session #2

30 mins Technical Paper 2.1
30 mins Technical Paper 2.2

1230 Lunch Break

1400 Panel

1530 Break

1600 Paper Session #3

30 mins Technical Paper 3.1
30 mins Technical Paper 3.2
1700 Closing Workshop Remarks
1710 Workshop Adjourns

Tentative Program Committee Members:
Nathaniel Bastian (DARPA)
Erik Blasch (AFOSR)
Ryan Craven (ONR)
Venkat Dasari (ARL)
Nathaniel Husted (NSWC Crane)
Brian Jalaian (University of West Florida)
Lance Kaplan (ARL)
Simon Khan (AFRL)
Alina Oprea (Northeastern University)
Kristopher Reese (IARPA)
Alvaro Velazquez (DARPA)
Paul Yu (ARO)

Tentative Invited Speaker: TBD

Short bios of the organizers

Dr. Francesco Restuccia is an assistant professor of electrical and computer engineering at Northeastern University. His research focus is on the resilience, effectiveness and efficiency of edge-assisted networked systems. He has made several key research contributions to wireless networking and has pioneered the application of real-time machine learning techniques to improve the performance of wireless communications. Restuccia is the Chair of the 6G Working Group at the National Spectrum Consortium. He has received the 2023 ONR Young Investigator Award, the 2023 AFOSR Young Investigator Award, and the 2020 Mario Gerla Award for Young Investigators in Computer Science, as well as Best Paper Awards at IEEE WoWMoM 2022 and IEEE INFOCOM 2022.

Dr. Kevin Chan is the Network Science Team Lead in the Army Research Directorate at Combat Capabilities Development Command Army Research Laboratory (DEVCOM ARL) in Adelphi MD. Dr. Chan received his Ph.D in Electrical and Computer Engineering from the Georgia Institute of Technology. He is actively engaged in research in distributed analytics in tactical edge networks and machine learning for networks and cybersecurity. He has served as a Government Research area lead for distributed analytics and cybersecurity research projects. He is a senior member of the IEEE and is a past Series Editor of the IEEE Communications Magazine Series on Military Communications and Networking.

Dr. Ananthram Swami received the Ph.D. degree from the University of Southern California in electrical engineering. He is currently with ARL as an Army’s Senior Research Scientist (ST) for Network Science. Prior to joining ARL, he held positions with Unocal Corporation, USC, CS-3, and Malgudi Systems. He was a Statistical Consultant to the California Lottery, developed a MATLAB-based toolbox for non-Gaussian signal processing, has held visiting faculty positions with INP, Toulouse, and the Imperial College London, London. His work is in the broad area of network science, including communication and information networks and cyber security. He is a fellow of ARL and life fellow of IEEE. His recent awards include the 2018 IEEE ComSoc MILCOM Technical Achievement Award and the 2017 Presidential Rank Award.

Dr. Michael De Lucia is a computer scientist in the Network Cyber & Computational Sciences Division at the DEVCOM Army Research Laboratory (ARL). He graduated from the University of Delaware with a Ph.D. in Electrical and Computer Engineering focusing on research in machine learning detection of encrypted malicious activities and innovating Adversarial Machine Learning (AML) attacks and defenses within a network security context. He currently, leads research with a focus on AML and Machine Learning within a network security context. Dr. De Lucia has over 17 years of experience working in cyber security within the Department of the Army and graduated with a bachelors in Information Technology and Masters in Computer Science from the New Jersey Institute of Technology. Before working at ARL, Dr. De Lucia performed cyber security research and development at the DEVCOM C5ISR Center.

Dr. Jonathan Ashdown received his PhD in electrical engineering from RPI in 2012. From 2012 to 2015, he worked as a Civilian Research Scientist with the Department of Defense (DoD), SPAWAR Systems Center Atlantic, North Charleston, SC, USA, where he was involved in several basic and applied research projects in software-defined radios. He is now a Senior Electronics Engineer with the Air Force Research Laboratory, Rome, NY, USA, where he is involved in the research and development of advanced emerging technologies for the U.S. Air Force. In 2012, he was a recipient of the Best Unclassified Paper Award at the IEEE Military Communications Conference.

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