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Intelligent & Perceptive Sensing and Actuation for Next-Generation Secure Chips 

– From Physical Design to Machine Learning


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SPEAKER:Provost’s Chair Prof. Massimo Alioto, Ph.D.

ECE - National University of Singapore

E-mail: massimo.alioto@nus.edu.sgmalioto@ieee.org

Homepage: http://www.green-ic.org/ 

ABSTRACT: 

    Physical security of next-generation silicon systems mandates major advances at their physical boundary, and hence in both on-chip sensing for attack detection and on-chip actuation for attack counteraction. This has recently motivated the investigation of a new breed of on-chip sensor interfaces and actuators that can inexpensively monitor continuously the chip environment, gaining physical context awareness and capturing physical anomalies. This trend is progressively fusing with relentless advances in inexpensive on-chip (AI) intelligence, which can oversee physical signals and events to orchestrate the on-chip security ecosystem.

In this keynote, the road towards ubiquitous intelligent & perceptive hardware security countermeasures is illustrated through the analysis of recent silicon demonstrations with unprecedented capabilities to perceive security events inexpensively, and react to them intelligently, all the time (always-on). The new concept of hardware patching is also discussed where circuit flexibility is introduced to make silicon chips able to evolve over time and counteract newly discovered vulnerabilities through (machine) learning-based physical protection mechanisms.

BIO:    

    Massimo Alioto is Provost’s Chair Professor at the ECE Department of the National University of Singapore, where he leads the Green IC group, the Integrated Circuits and Embedded Systems area, and the FD-fAbrICS center on intelligent&connected systems. Previously, he held positions at the University of Siena, Intel Labs – CRL (2013), University of Michigan - Ann Arbor (2011-2012), University of California – Berkeley (2009-2011), EPFL - Lausanne.

He is (co)author of 400 publications on journals and conference proceedings, and four books with Springer (with two more coming). His primary research interests include ultra-low power and self-powered systems, green computing, circuits for machine intelligence, hardware security, and emerging technologies.

He was the Editor in Chief of the IEEE Transactions on VLSI Systems and Deputy Editor in Chief of the IEEE Journal on Emerging and Selected Topics in Circuits and Systems. He was the Chair of the Distinguished Lecturer Program for the IEEE CAS Society, and was a Distinguished Lecturer for the SSC and CAS Society. Previously, Prof. Alioto was the Chair of the “VLSI Systems and Applications” Technical Committee of the IEEE Circuits and Systems Society (2010-2012). He served as Guest Editor of numerous journal special issues (JSSC, TCAS-I, JETCAS…), Technical Program Chair of several IEEE conferences (ISCAS, SOCC, PRIME, ICECS), and TPC member (ISSCC, ASSCC). His research group contribution has been recognized through various best paper awards (e.g., ISSCC), and in the ten technological highlights of the TSMC annual report, among the others. Prof. Alioto is an IEEE Fellow.


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