Secure and Intelligent Edge Research Lab (SIEGE)
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Pioneering the design of secure and AI-enabled systems for edge devices.
Vision
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
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
Highlights
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
Top News
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
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