SIEGE Lab

Secure and Intelligent Edge Research Lab (SIEGE)

Pioneering the design of secure and AI-enabled systems for edge devices.

Vision

We envision being the world’s leading force in secure and intelligent edge innovation, driving the global standard for trustworthy AI and microelectronic systems, ensuring a safer, smarter, and more resilient future.

Mission

We address the urgent need for security and trust in AI-powered and interconnected technologies by 1) conducting world-class research in AI, AI for Security, Security of AI, Side-Channel Analysis, LLMs, and Agentic AI, 2) Publishing groundbreaking results in leading journals and conferences to advance global knowledge, 3) Guiding our work with the principles of integrity, innovation, collaboration, and rigorous inquiry.

Highlights

The SentriAlign team, which includes Zafaryab Haider, Md Hafizur Rahman, Sarah Glatter, Prabuddha Chakraborty has been selected to participate in the University of Maine’s MIRTA 8.0 Commercialization Accelerator cohort (January 14 – May 11, 2026).
We’re delighted to share that four of our students recently represented the lab at the WARREN B. NELMS ANNUAL CONFERENCE (2025).
Paper published in Journal of Hardware and Systems Security.
Tasneem, Haider and Sarah presented research talks at the Sandia National Laboratories ML/DL workshop 2025.
Exciting!! IoT Test Bed is nearing Launch. Great work by Haider and Hafizur.

Top News

16 December 2025: The SentriAlign team gets the MIRTA 8.0 Commercialization Accelerator award. (here)
5 December 2025: Tanzim Mahfuz, Md Hafizur Rahman, Abdullah Al Nomaan Nafi, and Zafaryab Haider presented a research poster POLARIS, LEMONADE, DASH and BLADE at the NELMS conference. (here)
4 December 2025: A demo at NELMS on Consensus-based reward Aggregation in RLFH pipeline by Zafaryab Haider.
5 October, 2025: Secure and Trustworthy Microelectronics: Vulnerabilities, Solutions, and Trends – Paper
19 Aug 2025: DAASH: A Meta-Attack Framework for Synthesizing Effective and Stealthy Adversarial Examples – arXiv
29 Jul 2025: POLARIS: Explainable AI for Mitigating Power Side-Channel Leakage – arXiv
28 Jul 2025: Paper by Tanzim Mahfuz, Tasneem Suha & Prabuddha Chakraborty accepted at Journal of Hardware and Systems Security
23 Jul 2025: Intelligent Layer Sharing (ILASH): A Predictive Neural Architecture Search Framework for Multi-Task Applications – IEEE
5 Jul 2025: TRIM: AI Guided Random Number Generation for Resource-Constrained IoT Systems is published at IEEE Access Journal– IEEE
2023: SALTY: Explainable Artificial Intelligence Guided Structural Analysis for Hardware Trojan Detection – IEEE