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Events for March 08, 2022
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ECE Seminar: Rethinking Hardware for Cryptography, Security, and Privacy
Tue, Mar 08, 2022 @ 10:00 AM - 11:00 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Daniel Moghimi, Computer Science and Engineering, UC San Diego
Talk Title: Rethinking Hardware for Cryptography, Security, and Privacy
Abstract: Modern computers run on top of complex processors, but complexity is the worst enemy of security. Scientists and engineers have consistently tried to develop secure software systems for decades. However, my work shows that new classes of vulnerabilities in complicated processors can break the security guarantees provided by software systems, cryptographic protocols, and privacy technologies. In this talk, I will give an overview of my work on discovering, evaluating, and mitigating such vulnerabilities. First, I will talk about side-channel attacks on cryptographic implementations. Second, I will discuss vulnerabilities at the microarchitecture level. Finally, I highlight my future work on improving security and privacy through automated testing for hardware vulnerabilities and hardware-software co-design.
Biography: Daniel Moghimi (https://moghimi.org) is a postdoctoral fellow in Computer Science and Engineering at UCSD. Previously, he received his MS.c in CS and Ph.D. in ECE from Worcester Polytechnic Institute. He develops new techniques and tools to discover new classes of vulnerabilities in hardware, evaluate their impact on software, particularly cryptography, and defend against these vulnerabilities. His work has improved the security of commodity processors and cryptographic products used by billions of users worldwide. Several of his publications have been covered by the news media such as Forbes, Wired, and The Register.
Host: Dr. Salman Avestimehr, avestime@usc.edu
Webcast: https://usc.zoom.us/j/96000769674?pwd=ZzJXNmgyNTY1dmo4c21sWXZpSjFuQT09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
WebCast Link: https://usc.zoom.us/j/96000769674?pwd=ZzJXNmgyNTY1dmo4c21sWXZpSjFuQT09
Audiences: Everyone Is Invited
Contact: Mayumi Thrasher
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CS Colloquium: Fei Miao (University of Connecticut) - Learning, Optimization and Control for Efficiency and Security of Cyber-Physical Systems
Tue, Mar 08, 2022 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Fei Miao, University of Connecticut
Talk Title: Learning, Optimization and Control for Efficiency and Security of Cyber-Physical Systems
Series: CS Colloquium
Abstract: Ubiquitous sensing enables large-scale multi-source data of cyber-physical systems (CPS) collected in real-time and poses both challenges and opportunities for a paradigm-shift to data-driven CPS. For instance, how to capture the complexity and analyze the dynamical state information from data, and make decisions to improve safety, efficiency and security of the networked CPS is still challenging. In this talk, we present our research that integrates optimization, machine learning, control, and game theory to address these challenges, including theoretical contributions, algorithmic design, and experimental validations. We first present data-driven distributionally robust optimization (DRO) methods for CPS efficiency, with application on smart city resource allocation. We design algorithms to construct the uncertainty sets of the model prediction based on spatial temporal data. We prove the computationally tractable forms or equivalent convex optimization forms of the DRO problems to guarantee the worst-case expected cost of real-time decisions. We show the improvement of autonomous mobility-on-demand (AMoD) service fairness and efficiency based on large-scale dataset. Second, we summarize our research contribution for CPS security. We mainly present a hybrid state stochastic game model to guarantee the worst-case cost of the system, and a proved suboptimal algorithm to calculate the mixed policies. Finally, based on our active awarded projects, we briefly discuss future research directions on robust multi-agent reinforcement learning and data-driven robust optimization based decision-making, to address CPS safety, efficiency, and security challenges.
This lecture satisfies requirements for CSCI 591: Research Colloquium
Biography: Fei Miao is an Assistant Professor of the Department of Computer Science & Engineering, a Courtesy Faculty of the Department of Electrical & Computer Engineering, University of Connecticut since 2017. She is also affiliated to the Institute of Advanced Systems Engineering and Eversource Energy Center. Her research interests lie in the optimization, machine learning, control, and game theory, to address safety, efficiency, and security challenges of cyber-physical systems. She received the Ph.D. degree and the Best Doctoral Dissertation Award in Electrical and Systems Engineering from the University of Pennsylvania in 2016. She received the B.S. degree majoring in Automation from Shanghai Jiao Tong University. She was a postdoc researcher at the GRASP Lab and the PRECISE Lab of Upenn from 2016 to 2017. Dr. Miao is a receipt of the NSF CAREER Award, the title of the project is "Distributionally Robust Learning, Control, and Benefits Analysis of Information Sharing for Connected and Autonomous Vehicles". Dr. Miao has also received a couple of other awards from NSF, including awards from the Smart & Autonomous Systems, the Cyber-Physical Systems, and the Smart & Connected Communities programs. She received Best Paper Award and Best Paper Award Finalist at the ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) in 2021 and 2015, respectively.
Host: Jyo Deshmukh
Location: 132
Audiences: By invitation only.
Contact: Assistant to CS chair
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Navigating the Internship/Job Search Workshop (ON-CAMPUS)
Tue, Mar 08, 2022 @ 01:00 PM - 01:30 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
THIS EVENT WILL BE HOSTED IN-PERSON, ON-CAMPUS
Increase your knowledge on the job/internship search by attending this professional development Q&A moderated by Viterbi Career Connections staff or Viterbi employer partners.
For more information about workshops, please visit viterbicareers.usc.edu/workshops.
Attendance is limited to room capacity
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: RTH 218 Viterbi Career Connections
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ISE 651 Epstein Seminar
Tue, Mar 08, 2022 @ 03:30 PM - 04:50 PM
Daniel J. Epstein Department of Industrial and Systems Engineering
Conferences, Lectures, & Seminars
Speaker: Dr. Adam Elmachtoub, Associate Professor, Dept. of Industrial Engineering & Ops Research, Columbia University
Talk Title: Contextual Optimization: Bridging Machine Learning and Operations
Host: Dr. Phebe Vayanos
More Information: March 8, 2022.pdf
Location: Online/Zoom
Audiences: Everyone Is Invited
Contact: Grace Owh
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Mork Family Department Seminar - Salva Salmani-Rezaie
Tue, Mar 08, 2022 @ 04:00 PM - 05:15 PM
Mork Family Department of Chemical Engineering and Materials Science
Conferences, Lectures, & Seminars
Speaker: Salva Salmani-Rezaie, University of California, Santa Barbara
Talk Title: Atomic Scale Understanding of Ferroelectricity and Superconductivity in SrTiO3
Host: Professor A.Hodge
Location: Social Sciences Building (SOS) - B46
Audiences: Everyone Is Invited
Contact: Heather Alexander
