Hardware Security through the Lens of Dr ML
Friday, May 10, 2024
In modern secured systems, the reliance on hardware as roots of trust is increasing in leaps and bounds. It is a pressing question, how does the hardware security issues get influenced by the developments in machine learning techniques.
In this talk, we provide a detailed overview on the intersection of ML and hardware security. To be more specific, we start with describing how Machine Learning (ML)/Deep Learning (DL) can be leveraged to perform advanced side channel attacks on cryptographic implementations. Subsequently, we present deep learning based methodologies for leakage assessment due to fault attacks on crypto-devices.
Finally, we present a state-of-the-art overview on the threats of machine learning in modeling promising hardware security primitives like Physically Unclonable Functions (PUFs).
Speaker/s
Prof. Debdeep Mukhopadhyay is a visiting Professor in the school of Computer Engineering, NYU Abu Dhabi. He is also an Institute Chair Professor at the Department of CSE, IIT Kharagpur, India. At IIT Kharagpur he initiated Secured Embedded Architecture Laboratory (SEAL), focusing on Hardware-Security. He holds a Ph.D, M.S., and a B.Tech from IIT Kharagpur. His research interests are on the topics of Cryptographic Engineering, Micro-architectural security and Hardware-Security. Recently he is intrigued by adversarial attacks on machine-learning, and encrypted computations, which includes homomorphic computations and searchable encryptions. Dr Mukhopadhyay has published more than 250 papers in peer reviewed conferences and journals, and is in the editorial boards and program committees of several top journals and conferences. Debdeep is the recipient of the prestigious Shanti Swarup Bhatnagar Award 2021 for Science and Technology (highest science honor in India below the age of 45) and is a Fellow of the Indian National Academy of Engineers, and Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) for contributions to Information Security. He is also a fellow of C3iHub (Cyber Security and Cyber Security for Cyber-Physical Systems) Innovation Hub of IIT Kanpur, and has been enlisted in Asia’s most outstanding researchers compiled by Asian Scientist Magazine (https://tinyurl.com/2vr8jaks). He was awarded the Qualcomm Faculty Award 2022, Khosla National Award from IIT Roorkee 2021, DST Swarnajayanti Fellowship 2015-16, INSA Young Scientist award, INAE Young Engineer award, and Associateship for the Indian Academy of Sciences and is a senior member of IEEE/ACM.
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