Author: Edward Suh

Will Hua’s paper “Reverse Engineering Convolutional Neural Networks Through Side-channel Information Leaks” is selected as a Top Picks in Hardware and Embedded Security 2020. The paper represents one of the first side-channel attacks on DNNs. There are only 7 papers

Mark Zhao’s paper on remote power side-channel attacks on an FPGA won the Distinguished Practical Paper Award at this year’ IEEE Symposium on Security and Privacy. Congratulations! https://www.ieee-security.org/TC/SP2018/awards.html

Mohamed’s paper title “Hardware-Software Co-Optimization of Garbage Collection for Efficient Memory Management in Dynamic Languages” at this year’s International Symposium on Memory Management (ISMM). The work shows that the cache performance has a significant impact on the automatic memory management in

Will Hua’s paper titled “Reverse Engineering Convolutional Neural Networks Through Side-channel Information Leaks” is accepted for publication at this year’s Design Automation Conference (DAC). His work shows that the structure and the weights of a CNN can be inferred through

Mark Zhao’s paper titled “FPGA-Based Remote Power Side-Channel Attacks” is accepted for publication at this year’s IEEE Symposium on Security and Privacy. The paper shows that an FPGA, which is increasingly being integrated into computing systems including cloud services such

Andrew Ferraiuolo received the ECE Outstanding Thesis Research Award, which is given to one PhD student each year. The details can be found in the following ECE announcement. https://www.ece.cornell.edu/news/index.cfm?news_id=96384

The SHIELD project led by Prof. Ed Suh, Prof. Andrew Myers, and Prof. Zhiru Zhang was selected to be a part of the DARPA SSITH program that aims to build secure computing systems from ground up. The project will develop