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Events for November 13, 2018

  • Trusted Inference Engine: Preventing Neural Network Exfiltration in Hardware Devices

    Tue, Nov 13, 2018 @ 02:00 PM - 03:00 PM

    Ming Hsieh Department of Electrical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Michel A. Kinsy, Boston University

    Talk Title: Trusted Inference Engine: Preventing Neural Network Exfiltration in Hardware Devices

    Abstract: Companies, in their push to incorporate artificial intelligence - in particular, machine learning - into their Internet of Things (IoT), system-on-chip (SoC), and automotive applications, will have to address a number of design challenges related to the secure deployment of artificial intelligence learning models and techniques. Machine learning (ML) models are often trained using private datasets that are very expensive to collect, or highly sensitive, using large amounts of computing power. The models are commonly exposed either through online APIs, or used in hardware devices deployed in the field or given to the end users. This gives incentives to adversaries to attempt to steal these ML models as a proxy for gathering datasets. While API-based model exfiltration has been studied before, the theft and protection of machine learning models on hardware devices have not been explored as of now. In this work, we examine this important aspect of the design and deployment of ML models. We illustrate how an attacker may acquire either the model or the model architecture through memory probing, side-channels, or crafted input attacks, and propose power-efficient obfuscation as an alternative to encryption, and timing side-channel countermeasures.

    Biography: Michel A. Kinsy is an Assistant Professor in the Department of Electrical and Computer Engineering at Boston University (BU), where he directs the Adaptive and Secure Computing Systems (ASCS) Laboratory. He focuses his research on computer architecture, hardware-level security, neural network accelerator designs, and cyber-physical systems. Dr. Kinsy is an MIT Presidential Fellow, the 2018 MWSCAS Myril B. Reed Best Paper Award Recipient, DFT'17 Best Paper Award Finalist, and FPL'11 Tools and Open-Source Community Service Award Recipient. He earned his PhD in Electrical Engineering and Computer Science in 2013 from the Massachusetts Institute of Technology. His doctoral work in algorithms to emulate and control large-scale power systems at the microsecond resolution inspired further research by the MIT spin-off Typhoon HIL, Inc. Before joining the BU faculty, Dr. Kinsy was an assistant professor in the Department of Computer and Information Systems at the University of Oregon, where he directed the Computer Architecture and Embedded Systems (CAES) Laboratory. From 2013 to 2014, he was a Member of the Technical Staff at the MIT Lincoln Laboratory.

    Host: Xuehai Qian, xuehai.qian@usc.edu

    More Information: 18.11.13 Michel Kinsy_CENG Seminar.pdf

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132

    Audiences: Everyone Is Invited

    Posted By: Brienne Moore

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  • Annual Grodins Keynote Lecture

    Tue, Nov 13, 2018 @ 03:00 PM - 05:00 PM

    Biomedical Engineering

    Conferences, Lectures, & Seminars


    Speaker: Kullervo Hynynen, M.Sc., PhD, Professor, University of Toronto (Department of Medical Biophysics and Institute of Biomaterials and Biomedical Engineering)

    Talk Title: Non-Invasive Brain Treatments Using Image Guided and Modulated Ultrasound Beams

    Series: Annual Grodins Keynote Lecture

    Abstract: Non-invasive brain treatments using image-guided and modulated ultrasound beams When combined with imaging-guidance focused ultrasound (FUS) provides means for localized delivery of mechanical energy deep into tissues. This focal energy deposition can modify tissue function via thermal or mechanical interactions with the tissue. MRI-guided hemi-spherical phased array technology with CT based beam modulation has made FUS treatments of brain through intact skull possible in the clinical setting. Thermal ablation of a target in a thalamus has been shown to be effective in the treatment of essential tremor and is now FDA approved. The impact of an ultrasound exposure can be potentiated by intravascular microbubbles that can enhance blood-brain barrier (BBB) permeability for a wide variety of molecules, particles and even cells. The ability to modulate the BBB has been shown to be effective in treatments of many deceases in animal models with initial patient trials showing clinical feasibility. In this talk, the progress in utilizing ultrasound phased array technology for brain treatments will be reviewed and its further potential discussed.


    Biography: Dr. Hynynen received his PhD from the University of Aberdeen, United Kingdom. After completing his postdoctoral training in biomedical ultrasound also at the University of Aberdeen, he accepted a faculty position at the University of Arizona. After, he joined the faculty at the Harvard Medical School, and Brigham and Women's Hospital in Boston, MA. There he reached the rank of full Professor, and founded and directed the Focused Ultrasound Laboratory. In 2006 he moved to the University of Toronto. He is currently the Director of Physical Sciences Platform at the Sunnybrook Research Institute and a Professor in the Department of Medical Biophysics and Cross Appointed Professor at the Institute of Biomaterials & Biomedical Engineering (IBBME) at the University of Toronto. His research focuses on utilizing focused ultrasound for non-invasive, image-guided interventions. His work in the brain spans from developing devices and methods for focal tissue ablation in clinical testing to research for targeted drug and cell delivery and stroke treatments.

    Host: Professor Kirk Shung

    More Information: 2018 Fred S. Grodins Keynote Speaker Kullervo Hynynen.pdf

    Location: Michelson Center for Convergent Bioscience (MCB) - 101

    Audiences: BME graduate students, Faculty, contact department if interested (213-740-7237)

    Posted By: Mischalgrace Diasanta

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  • Epstein Institute Seminar - ISE 651

    Tue, Nov 13, 2018 @ 03:30 PM - 04:50 PM

    Daniel J. Epstein Department of Industrial and Systems Engineering

    Conferences, Lectures, & Seminars


    Speaker: Dr. Hui Yang, Associate Professor, Penn State

    Talk Title: Sensor-based Modeling and Control of Nonlinear Dynamics for Advanced Manufacturing and Smart Health

    Host: Professor Julie Higle

    More Information: November 13, 2018.pdf

    Location: Ethel Percy Andrus Gerontology Center (GER) - 206

    Audiences: Everyone Is Invited

    Posted By: Grace Owh

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  • CAIS Seminar: Dr. Sanmay Das (Washington University in St. Louis) - Allocating Scarce Societal Resources Based on Predictions of Outcomes

    Tue, Nov 13, 2018 @ 03:30 PM - 04:50 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. Sanmay Das, Washington University in St. Louis

    Talk Title: Allocating Scarce Societal Resources Based on Predictions of Outcomes

    Series: USC Center for Artificial Intelligence in Society (CAIS) Seminar Series

    Abstract: Demand for resources that are collectively controlled or regulated by society, like social services or organs for transplantation, typically far outstrips supply. How should these scarce resources be allocated? In this talk, Dr. Das will discuss his work on weighted matching and assignment in two domains, namely living donor kidney transplantation and provision of services to homeless households. His focus will be on how effective prediction of the outcomes of matches has the potential to dramatically improve social welfare both by allowing for richer mechanisms and by improving allocations. He will also discuss implications for equity and justice.

    This lecture satisfies requirements for CSCI 591: Research Colloquium.


    Biography: Dr. Sanmay Das is an associate professor in Computer Science and Engineering and the chair of the steering committee of the newly formed Division of Computational and Data Sciences at Washington University in St. Louis. He is vice-chair of the ACM Special Interest Group on Artificial Intelligence and a member of the board of directors of the International Foundation for Autonomous Agents and Multiagent Systems. Dr. Das has served as program co-chair of the AAMAS and AMMA conferences, and has been recognized with awards for research and teaching, including an NSF CAREER Award and the Department Chair Award for Outstanding Teaching at Washington University.


    Host: Milind Tambe

    Location: Henry Salvatori Computer Science Center (SAL) - 101

    Audiences: Everyone Is Invited

    Posted By: Computer Science Department

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  • Mork Family Department of Chemical Engineering and Materials Science Seminar - Distinguished Lecture Series

    Tue, Nov 13, 2018 @ 04:00 PM - 05:20 PM

    Mork Family Department of Chemical Engineering and Materials Science

    Conferences, Lectures, & Seminars


    Speaker: Prof. Matthew Lazzara, Departments of Chemical Engineering and Biomedical Engineering, University of Virginia

    Talk Title: Applications of mechanistic and data-driven models to problems in cell signaling

    Abstract: Cells are signaled to proliferate, migrate, differentiate, and die through the action of receptors, membrane-spanning proteins that translate extracellular ligand binding events into cellular decisions by initiating networks of intracellular biochemical reactions. The complexity of these problems is ideal for, and often requires, application of computational modeling approaches to interpret data, predict system performance, and generate new hypotheses. However, the specific modeling approach must be tailored to the type and scope of problem at hand. While some problems are sufficiently circumscribed for use of familiar mechanistic governing equations, others are more easily tackled by first seeking statistical inferences from large data sets for which mechanistic governing equations are unknown. This seminar will cover examples of both types of problems. In the first part of the talk, I will describe our lab s efforts to develop experimentally validated mechanistic models of the regulation of epidermal growth factor receptor (EGFR) signaling by protein tyrosine phosphatases, focusing on the coupling between receptor endocytosis and dephosphorylation and on phosphatase-mediated regulation of the persistence of EGFR-driven signaling protein complexes. In the second part of the talk, I will describe our recent efforts to apply data-driven modeling approaches for the rational design of combination therapies for pancreas and brain cancers.

    Biography: Matthew Lazzara received a B.S. in Chemical Engineering (with highest honors) from the University of Florida and a Ph.D. in Chemical Engineering from the Massachusetts Institute of Technology, where he trained in the lab of William Deen. He remained at MIT for postdoctoral studies in the lab of Douglas Lauffenburger and was the recipient of an NIH Ruth L. Kirschstein National Research Service Award Postdoctoral Fellowship. Dr. Lazzara is presently Associate Professor of Chemical Engineering and holds a joint appointment in the Department of Biomedical Engineering. Work in the Lazzara Lab employs a combination of experimental and computational methods to study problems in cell signaling, the complex biochemical process cells use to make decisions. Current projects focus on the rational (model-driven) identification of combination therapies for cancer and on fundamental studies of the spatiotemporal regulation of cell signaling by phosphatases and receptor trafficking. The lab's work is funded by grants from the American Cancer Society, National Science Foundation, and National Institutes of Health. Dr. Lazzara is also the recipient of several teaching awards, including the S. Reid Warren, Jr. Award and the Outstanding Faculty Award of the AIChE Delaware Valley, and is a member of the Board of Directors of the Museum of Science and Industry in Tampa, FL.

    Host: Prof. Nicholas Graham

    Location: John Stauffer Science Lecture Hall (SLH) - 200

    Audiences: Everyone Is Invited

    Posted By: Karen Woo/Mork Family

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