Approximate Computing and Hardware Security: Opportunities and Challenges

Approximate computing has been widely used for designing high-performance and energy-efficient systems for a growing class of error-tolerant applications, e.g., AI, image processing, signal processing, etc. The uncertain and unpredictable inherent error behaviour of approximate computing introduces both new security threats and opportunities to enhance the security of approximate computing. This talk will introduce the recent state-of-the-art in this area, including threat models in approximate computing and emerging security applications using approximate computing. In addition, potential future directions will be discussed to achieve the full benefits of security in/for approximate computing.

Dr. Chongyan Gu

Associate Professor in the Centre for Secure Information Technologies, Queen's University Belfast on February 13, 2026 at 10:15 AM in EB2 1231
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Dr Chongyan Gu is currently an Associate Professor in the Centre for Secure Information Technologies (CSIT) at Queen's University Belfast. She has been awarded the EPSRC New Investigator Award in 2022. Her research into physical unclonable function (PUF) has been utilised as part of a security architecture for electronic vehicle (EV) charging systems, licensed by LG-CNS, South Korea. Her team was the overall winner of INVENT 2015, a competition to accelerate the commercialisation of innovative ideas. She currently serves as an Associate Editor of IEEE Transactions on Emerging Technologies in Computing (TETC) and Guest Editor of IEEE Transactions on Circuits and Systems – I (TCAS-I). She also serves on the Organising Committee of AsianHOST, and Technical Programme Committees of the DAC, ISCAS, ASP-DAC, and AsianHOST conferences. Her co-authored pioneering research paper (invited) in this research topic has been published by Proceedings of the IEEE (impact factor: 23.2).

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