Speaker: Prof. Anirban Sengupta, Indian Institute of Technology Indore (IIT Indore)
Date: June 29, 2026, Monday
Time: 16:00 – 17:30 Israel Time
Location: Zoom
Language: English
Abstract:
Hardware Trojans in high level synthesis (HLS) generated intellectual property (IP) designs pose significant security threats. The HLS frameworks, while enabling efficient hardware design from high-level descriptions to its respective register transfer level (RTL) counterpart, may introduce security vulnerabilities. These vulnerabilities allow malicious Trojan to be stealthily injected during phases like scheduling, allocation, and mux-interconnect design stage. Compromised HLS frameworks exacerbate this risk, potentially embedding backdoors or degrading IP operation in multiple ways. This presentation will discuss advanced HLS Trojan detection techniques based decision tree classifier-based machine learning model. The presentation will also focus on key hardware IP RTL features that need to be extracted and analyzed, for achieving high detection accuracy with zero false positives for specific trojans considered here, ensuring robust IP security.
Bio:
Prof. Anirban Sengupta (SMIEEE, FIET, FBCS, FIETE, Ph.D.) is a full Professor in the Department of Computer Science and Engineering at Indian Institute of Technology (IIT) Indore. He has more than 340 publications and patents, including 7 books, to his credit. His is recipient of awards/honors/recognitions such as Distinguished Contributor of IEEE Computer Society, Distinguished Lecturer of IEEE Circuits and Systems Society, Distinguished Lecturer of IEEE Consumer Technology Society, Distinguished Visitor of IEEE Computer Society, ACM India Eminent Speaker, Fellow of IET, Fellow of British Computer Society, Fellow of IETE, IEEE Chester Sall Memorial Consumer Electronics Award, IEEE CESoc Outstanding Editor Award, IEEE CESoc Best Research Award from CEM, Best Research paper Award in IEEE ICCE 2019, IEEE Computer Society TCVLSI Outstanding Editor Award and IEEE TCVLSI Best Paper Award in IEEE iNIS 2017. He held/holds around 20 Editorial positions in IEEE/IET Journal boards. He is consistently ranked in Stanford University’s Top 2 % Scientists globally. Details available at: http://www.anirbansengupta.com/index.php
The webinar is free but registration is required. The Zoom link will be sent after registration.