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Embedded & Cyber-Physical Systems Lab

Embedded & Cyber-Physical Systems Lab

Autonomous and Intelligent Cyber-Physical Systems (Al Faruque's Lab)

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[IEEE TCAD] Accepted Paper: Hardware Trojan Detection using Graph Neural Networks

Our paper “Hardware Trojan Detection using Graph Neural Networks“ has been accepted to be published in the IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD’22), 2022. Congratulations Rozhin, Luke, and Louis.

[IEEE TCAD] Accepted Paper: Hardware Trojan Detection using Graph Neural Networks
alfaruqu April 21, 2022April 21, 2022 Uncategorized
  • ← [IMWUT/UBICOMP ’22] Accepted Paper: Template Matching Based Early Exit CNN for Energy-efficient Myocardial Infarction Detection on Low-power Wearable Devices
  • [ISLPED 2022] Accepted Paper: Neural Contextual Bandits Based Dynamic Sensor Selection for Low-Power Body-Area Networks →

Latest News

  • Welcome Dr. Deepak Prakash Kumar to our Lab as a postdoctoral researcher. August 22, 2025
  • [New Grant from UCITS: 2025-2026] Enhancing the Safety of Intelligent Traffic Management Systems Against Coordinated Physical Adversarial Attacks August 22, 2025
  • [IEEE TIFS] Accepted Paper: DART: Distribution-Aware Hardware Trojan Detection August 21, 2025
  • [NDSS 2026]: Accepted Paper: FlyTrap: Physical Distance-Pulling Attack Towards Camera-based  Autonomous Target Tracking Systems August 14, 2025
  • [BEST DEMO AWARD] VehicleSec 2025 – CPExploiter: from Cyber to Physical: Understanding the End-to-End Physical Attack Capability of Cyber-Attacks on Robotic Vehicles August 12, 2025
  • [DSD 2025]: Accepted Paper: LLM4CVE: Enabling Iterative Automated Vulnerability Repair with Large Language Models June 26, 2025
  • [Finalist Student Poster Award] 31st Automotive Research Center Program Review June 18, 2025
  • [VehicleSec 2025]: Accepted Demo: CPExploiter: from Cyber to Physical: Understanding the End-to-End Physical Attack Capability of Cyber-Attacks on Robotic Vehicles May 17, 2025
  • [VehicleSec 2025]: Accepted Demo: FlyTrap: Physical Distance-Pulling Attack Towards Camera-based Autonomous Target Tracking Systems May 17, 2025
  • [KDD 2025]: Accepted Paper: Bridging the Binary Analysis Gap: A Cross-Compiler Dataset and Neural Framework for Industrial Control Systems May 15, 2025
  • [IEEE T-ITS] Accepted Paper: Fuse it or Lose it? Analyzing the Effects of Sensor Diversity on Multimodal Ensembles for Autonomous Vehicle Perception May 4, 2025
  • [2025 ML and Systems Rising Stars] Mohanad Odema has been selected as one of the 2025 ML and Systems Rising Stars! March 12, 2025

Contact Us

Professor Mohammad Al Faruque

Professor
Henry Samueli School of Engineering
Electrical Engineering  Computer Science
Computer Science (Courtesy Appointment)
Mechanical and Aerospace Engineering
(Courtesy Appointment)

University of California, Irvine
CA, USA 92697-2625

Contact Us

Professor Mohammad Al Faruque

Professor
Henry Samueli School of Engineering
Electrical Engineering  Computer Science
Computer Science (Courtesy Appointment)
Mechanical and Aerospace Engineering
(Courtesy Appointment)

University of California, Irvine
CA, USA 92697-2625

 


Phone
: +1 (949) 824 1909

Fax: +1 (949) 824 3032/2321

Email: alfaruqu@uci.edu

Office Address: 3223 Engineering Hall, Irvine, CA  92697-2625

Lab Address: 5440  Engineering Hall, Irvine, CA

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