SUNMONTUEWEDTHUFRISAT
Events for April 13, 2016
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The Fundamental Limits of Data and Metadata Privacy
Wed, Apr 13, 2016 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Peter Kairouz, University of Illinois at Urbana-Champaign
Talk Title: The Fundamental Limits of Data and Metadata Privacy
Abstract: With the ability to surf the web efficiently comes the danger of being monitored. There is an increasing tension between the need to share data and the need to preserve the privacy of Internet users. The need for privacy appears in two main contexts: the data privacy context, as in when individuals want to share their personal data with a potentially malicious service provider or when a trusted service provider wants to release sensitive information about individuals, and the metadata privacy context, as in when individuals want to broadcast information on a social network without the fear of being judged by friends, the public or authorities.
In the metadata privacy context, anonymity is achieved by controlling the way information spreads over a network. In the first half of my talk, I will introduce a novel anonymous messaging protocol (called adaptive diffusion) and show that it spreads a message quickly over a network while "perfectly" hiding authorship information from a powerful adversary with global access to metadata.
In the data privacy context, privacy is achieved by randomizing the data before releasing it. This leads to a fundamental trade-off between privacy and utility. In the second half of my talk, I will present a new class of privacy mechanisms (called staircase mechanisms) and show that they achieve the optimal privacy-utility trade-off under various settings of interest.
Biography: Peter Kairouz is a PHD student at the University of Illinois at Urbana-Champaign. For his masters, he was mainly interested in signal processing and digital communications. He interned twice at Qualcomm (in 2012 and 2013), and was awarded The 2012 Roberto Padovani Scholarship from Qualcomm's Research Center. For his PhD, he chose to work on data and metadata privacy, winning the Best Paper Award at ACM SIGMETRICS 2015. He recently interned at Google, where he designed privacy-aware machine learning algorithms. His primary research interests include privacy enhancing technologies, machine learning, and wireless communications.
Host: Professor Rahul Jain
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248
Audiences: Everyone Is Invited
Contact: Suzanne Wong
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Algorithms for Parameter Estimation in Quantitative MRI
Wed, Apr 13, 2016 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Marcus Björk, PhD, Division of Systems & Control, Uppsala University
Talk Title: Algorithms for Parameter Estimation in Quantitative MRI
Series: Medical Imaging Seminar Series
Abstract: Through advanced signal processing, MRI can provide quantitative measures of tissue-specific physical properties. The optimization problems solved in quantitative MRI are typically nonlinear, and require intelligent and application-specific algorithms to avoid suboptimal local minima. In this presentation, several methods for efficiently solving different parameter estimation problems in MRI, such as multi-component T2 relaxometry, and minimizing banding artifacts in bSSFP MRI due to field inhomogeneity, are presented. Finally, I will present some interesting problems for the future. The corresponding PhD thesis is available at:
http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-246537
Biography: Dr. Marcus Bjork is a Researcher in the division of Systems and Control at Uppsala University, in Professor Peter Stoica's group. He defended his PhD thesis last year. His main field of research is signal processing, with application to Magnetic Resonance Imaging (MRI). By modeling the MR signal and estimating the model parameters from data, measures of tissue-specific physical properties can be obtained. The optimization problems solved are typically nonlinear, and require intelligent and application-specific algorithms to avoid suboptimal local minima. Designing such algorithms is a challenging research problem.
Host: Professor Krishna Nayak
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
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Analytic Reconstructions for MEG and EEG (Lecture II)
Wed, Apr 13, 2016 @ 04:00 PM - 05:20 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Prof. Thanasis Fokas, Department of Applied Mathematics and Theoretical Physics, University of Cambridge & Department of Electrical Engineering, University of Southern California
Talk Title: Analytic Reconstructions for MEG and EEG (Lecture II)
Series: Three Part Lecture Series
Abstract: Analytical reconstructions as well as appropriate mnumerical implementations for the important imaging techniques of Magneto-encephalography (MEG) and Electro-ecephalography (EEG) will be reviewed. The numerical implementations of MEG and EEG are based on state of the art codes for the numerical evaluation of certain auxiliary functions appearing in the relevant analytical formulae. The effectiveness of reconstructions of the neuronal current using either real EEG or real MEG data will be demonstrated.
Biography: Thanasis Fokas, Chair of Nonlinear mathematical science at the University of Cambridge and Visiting Professor of Electrical Engineering here at USC, will give a series of lectures on Magneto-Electro-Encephalography, which will be introduced by Professor Richard Leahy. The work of Thanasis FOKAS and collaborators has resolved completely the following important question in this area that was open since the fundamental work of Helmohltz: which part of the neuronal current can be computed from the knowledge of either MEG or EEG data?
Next and last scheduled lecture in this series:
-Lecture III: Mon., April 18, 2016, 4:00 - 5:20PM, EEB 132
Host: Richard Leahy
Location: Hughes Aircraft Electrical Engineering Center (EEB) - 132
Audiences: Everyone Is Invited
Contact: Talyia White
