Pioneering the design of secure and AI-enabled systems for edge devices — spanning AI security, hardware and side-channel assurance, neural architecture search, and trustworthy embedded systems.
Our research is made possible by the support of the following agencies and industry partners.
Major awards led or co-led by the lab. Each has its own project site.
Secure and resilient AI for the electric grid — hardware and model security, secure sensing and forecasting, self-healing response to poisoning, and a cross-jurisdiction microgrid testbed.
University of Maine (lead) with the University of Hawaiʻi at Mānoa, the University of North Dakota, and the University of Puerto Rico at Mayagüez.
Project SiteA group of doctoral and master's researchers at the University of Maine — affiliated with Electrical and Computer Engineering and the Advanced Structures & Composites Center (ASCC) — working across AI security, microelectronics assurance, and intelligent edge systems.
Director, SIEGE Research Lab
Dr. Waldo “Mac” Libbey ’44 Professor & Assistant Professor
Electrical and Computer Engineering, University of Maine
Advanced Structures & Composites Center (ASCC), University of Maine
4th Year Ph.D. Scholar
AI for Microelectronic Security
Details
Ph.D. Candidate
AI Security, Trustworthy AI
Details
3rd Year Ph.D. Scholar
Agentic AI, System Security
Details
3rd Year Ph.D. Scholar
Integrated HW/SW Security
Details
2nd Year Ph.D. Scholar
Big Data, AI and RL Databases
Details
2nd Year Ph.D. Scholar
Cybersecurity AI
2nd Year Ph.D. Scholar
AI Security
DetailsPeer-reviewed journal articles, conference papers, and preprints from the lab and its collaborators, most recent first.
SMASH Conference on Neural Information Processing Systems (NeurIPS) · 2026
ACT IEEE Cyber Awareness & Research Symposium (CARS) · 2026
MAGE IEEE Cyber Awareness & Research Symposium (CARS) · 2026
NEST ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED) · August 2026
AISPY ACM Conference on Computer and Communications Security (CCS) · 2026
DISARM IEEE Transactions on Information Forensics and Security · 2026
ACM Transactions on Design Automation of Electronic Systems · June 2026
HARP arXiv preprint · May 2026
LASH arXiv preprint · May 2026
DASH IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) · 2026
BLADE arXiv preprint · December 2025
Journal of Hardware and Systems Security · October 2025
FV-PAL IEEE 43rd International Conference on Computer Design (ICCD) · November 2025
ILASH IEEE Access · 2025
TRIM IEEE Access · 2025
DINGO Great Lakes Symposium on VLSI (GLSVLSI) · June 2025
POLARIS 62nd ACM/IEEE Design Automation Conference (DAC) · June 2025
LEMONADE Nature Scientific Reports · May 2025
SALTY IEEE 43rd VLSI Test Symposium (VTS) · April 2025
COBRA Nature Scientific Reports · March 2025
DERMS IEEE Communications Surveys & Tutorials · 2025
CAST-Map IEEE International Conference on Consumer Electronics (ICCE) · January 2025
X-DFS IEEE Transactions on Information Forensics and Security · 2024
SELF-AWARE MEMORY IEEE Transactions on Artificial Intelligence · July 2024
IEEE Computer Society Annual Symposium on VLSI (ISVLSI) · July 2024
IEEE Computer Society Annual Symposium on VLSI (ISVLSI) · July 2024
Nature Scientific Reports · May 2024
LEARNING LOCK IEEE Design & Test · April 2024
IEEE Transactions on Computers · 2023
IEEE 36th International System-on-Chip Conference (SOCC) · September 2023
ACM Journal on Emerging Technologies in Computing Systems · 2023
SAVIOR IEEE Internet of Things Magazine · June 2023
EFFICIENT-AI IEEE 16th Dallas Circuits and Systems Conference (DCAS) · April 2023
Asian Hardware Oriented Security and Trust Symposium (AsianHOST) · 2022
37th IEEE/ACM International Conference on Automated Software Engineering (ASE) · 2022
IEEE International Test Conference (ITC) · 2022
VIPR-PCB 59th ACM/IEEE Design Automation Conference (DAC) · 2022
IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2022
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2022
IEEE Transactions on Very Large Scale Integration (VLSI) Systems · 2022
Nature Scientific Reports · 2022
ARTS IEEE Embedded Systems Letters · 2022
IEEE Consumer Electronics Magazine · 2022
BINGO Neural Computing and Applications · 2022
SAIL IEEE Transactions on Information Forensics and Security · 2021
LEGO IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems · 2021
HASTE IEEE Embedded Systems Letters · 2021
IEEE International Test Conference India (ITC India) · 2021
22nd International Symposium on Quality Electronic Design (ISQED) · 2021
arXiv preprint · 2021
MAGIC IEEE Internet of Things Journal · 2020
P2C2 IEEE 91st Vehicular Technology Conference (VTC2020-Spring) · 2020
SURF IEEE International Symposium on Hardware Oriented Security and Trust (HOST) · 2019
SAIL Asian Hardware Oriented Security and Trust Symposium (AsianHOST) · 2018
IEEE International Test Conference (ITC) · 2018
arXiv preprint · 2017
Patents and patent applications arising from this research, grouped by the institution holding them.
Zafaryab Haider, Md Hafizur Rahman, Shane Moeykens, Prabuddha Chakraborty
Bit flip analysis via differentiable estimation.
Md Hafizur Rahman, Prabuddha Chakraborty, Zafaryab Haider
A framework that automatically generates architectures against user preferences such as FPS, accuracy, and energy.
View PCT ApplicationPrabuddha Chakraborty, Md Hafizur Rahman, Sumaiya Shomaji, Md Mashfiq Rizvee
Searches networks for multi-task applications using a layer-sharing approach; the predictive method reduces overall search time.
View PCT ApplicationPrabuddha Chakraborty, Tanzim Mahfuz, Tasneem Farhana Suha, Swarup Bhunia, Sudipta Paria
An AI-driven framework that generates and optimally inserts masked logic solutions to significantly reduce power side-channel leakage in digital hardware.
Zafaryab Haider, Md Hafizur Rahman, Shane Moeykens, Prabuddha Chakraborty
Makes AI training safer when you cannot fully control or verify every human giving feedback.
Nickolas Millett, Katherine Arsenault, Prabuddha Chakraborty
Tracks cyber components in real time to build a digital twin, which then drives automated AI vulnerability assessment; the resulting fixes can be applied to the production environment.
View PCT ApplicationSwarup Bhunia, Prabuddha Chakraborty, Jonathan W. Cruz, Tamzidul Hoque, T. T. Nguyen
View PatentShuo Wang, Swarup Bhunia, Prabuddha Chakraborty, Robert Parker, Rohan Reddy Kalavakonda
View PatentPrabuddha Chakraborty, Reiner Dizon-Paradis, Christopher Vega, Joel B. Harley, Sandip Ray, Swarup Bhunia, et al.
View PatentSwarup Bhunia, Prabuddha Chakraborty, Reiner Dizon-Paradis, Patrick Difuntorum, Christopher Vega, et al.
View PatentPrabuddha Chakraborty, Swarup Bhunia, Christopher M. Vega
View PatentPrabuddha Chakraborty, Swarup Bhunia
View PatentAbdulrahman Alaql, Saranyu Chattopadhyay, Swarup Bhunia, Prabuddha Chakraborty
View PatentSwarup Bhunia, Prabuddha Chakraborty, Abhishek A. Nair, Tamzidul Hoque, Jonathan W. Cruz, Naren Vikram Raj Masna, et al.
View PatentSwarup Bhunia, Prabuddha Chakraborty
View ApplicationSwarup Bhunia, Prabuddha Chakraborty
View ApplicationSwarup Bhunia, Prabuddha Chakraborty, Reiner Dizon-Paradis
View ApplicationSwarup Bhunia, Reiner Dizon-Paradis, Prabuddha Chakraborty, Rohan Reddy Kalavakonda, Patrick Difuntorum
View ApplicationSwarup Bhunia, Prabuddha Chakraborty
View ApplicationSwarup Bhunia, Prabuddha Chakraborty, Lili Du, Sandip Ray
View ApplicationCourses taught by the lab, with interactive demos and materials hosted here. Everything runs in the browser — no install, and free to share.
How a machine actually executes a program — instruction sets, encodings, datapaths and the design trade-offs behind them. The course page hosts three interactive RISC-V demos: one takes an instruction apart field by field and lets you practice decoding machine words; one builds the single-cycle datapath block by block, traces every RV32I instruction through it, and runs programs one clock cycle at a time; and one cuts that datapath into a five-stage pipeline and runs programs through it with forwarding, stalls, flushes and branch prediction.
Taught by Dr. Prabuddha Chakraborty.
Course DemosWe're looking for students interested in AI security, microelectronics assurance, side-channel analysis, and intelligent edge systems. Full details, requirements, and how to apply are on the director's site.