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Events for April 05, 2016
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CS Colloquium: Chang Liu (University of Maryland, College Park) - Secure Cloud Computing - A Programming Language Approach
Tue, Apr 05, 2016 @ 11:00 AM - 12:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Chang Liu, University of Maryland, College Park
Talk Title: Secure Cloud Computing - A Programming Language Approach
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
The big data era has dramatically transformed our lives; however, security incidents such as data breaches put sensitive data (e.g. photos, identities, genomes) at risk. To protect users' data privacy, there is a growing trend to build secure cloud computing systems, which enables computation over two or more parties' sensitive data, while revealing nothing more than the results to the participating parties. Conceptually, privacy-preserving computing systems leverage cryptographic techniques (e.g. secure multiparty computation) and trusted hardware (e.g. secure processors) to instantiate a "secure" abstract machine consisting of a CPU and encrypted memory, so that an adversary cannot learn information through either the computation within the CPU or the data in the memory. Unfortunately, evidence has shown that, side channels (e.g. memory accesses, timing, and termination) in such a "secure" abstract machine may potentially leak highly sensitive information including cryptographic keys that form the root of trust for the secure systems.
I conduct synergistic research to bridge cryptography and programming language techniques to address
this problem. My research broadly expanded the investigation of a research direction called trace oblivious computation, where I employ programming language techniques to prevent side channel information leakage. In this talk, I will discuss my work on two promising approaches, i.e. secure-processor and secure multiparty computation, toward building a secure cloud computing system. I will focus on both theoretical development to enforce formal security, as well as practical system building to yield the state-of-the-art results.
Biography: Chang Liu is a PhD candidate in the Department of Computer Science at University of Maryland, College Park, where he works in the Maryland Cybersecurity Lab with his advisors Michael Hicks and Elaine Shi. His work broadly expanded the investigation of the research direction of trace oblivious computation, which made significant impact on trusted hardware-based secure computation and cryptography-based secure multiparty computation. He is the recipient of John Vlissides Award (2015) and University of Maryland's Outstanding Early Graduate Student Award (2014). His papers has received a NSA Best Scientific Cybersecurity Paper Award (2013), the Best Paper Award of ASPLOS (2015), and 1st Best Paper Award in Applied Cyber Security Paper at CSAW (1st Place, 2015). His ObliVM system won the HLI Award for Secure Multiparty Computation in the iDash Secure Genomics Analysis Competition (2015).
Host: CS Department
Location: Olin Hall of Engineering (OHE) - 136
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
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USC Stem Cell Seminar: Peggy Goodell, Baylor College of Medicine
Tue, Apr 05, 2016 @ 11:00 AM - 12:00 PM
Alfred E. Mann Department of Biomedical Engineering
Conferences, Lectures, & Seminars
Speaker: Peggy Goodell, Baylor College of Medicine
Talk Title: DNMT3A in hematopoietic stem cells, cancer and aging
Series: Eli and Edythe Broad Center for Regenerative Medicine and Stem Cell Research at USC Distinguished Speakers Series
Abstract: DNA methyltransferase 3a (DNMT3A) has recently emerged as an important tumor suppressor in hematologic malignancies, and its ablation in mouse hematopoietic stem cells inhibits differentiation. We will describe the use of DNMT3A knockout mice to study its role in myeloid and lymphoid malignancy development and its function in maintaining global DNA methylation. The role of DNMT3A mutations in intercellular competition in the context of aging will also be discussed.
Host: Senta Georgia
More Info: https://calendar.usc.edu/event/speaker_peggy_goodell_baylor_college_of_medicine?utm_campaign=widget&utm_medium=widget&utm_source=USC+Event+Calendar%3A+Beta#.Vtj5lCnFl04
Webcast: http://keckmedia.usc.edu/stem-cell-seminarWebCast Link: http://keckmedia.usc.edu/stem-cell-seminar
Audiences: Everyone Is Invited
Contact: Cristy Lytal/USC Stem Cell
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Smart Data Pricing
Tue, Apr 05, 2016 @ 11:00 AM - 12:00 PM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Carlee Joe-Wong, Princeton University
Talk Title: Smart Data Pricing
Abstract: Data traffic has increased sharply over the past decade and is expected to grow further as Internet applications from video streaming to cloud storage become ever more popular. Yet data network capacity is not expanding fast enough to handle this exponential growth, leading service providers to change their mobile data plans in an effort to reduce congestion. Inspired by these ongoing changes and building on work from the 1990s, smart data pricing (SDP) aims to rethink data pricing for tomorrow's networks. In this talk, I will focus on the temporal and content dimensions of SDP and then briefly discuss the problem of fairly allocating network resources to applications with diverse resource needs. Time-dependent pricing (TDP) proposes to lower short-lived peaks in network congestion by incentivizing users to shift their data usage to less congested times. While TDP has been used in industries such as smart grids, TDP for mobile data presents unique challenges, e.g., it is difficult to predict how users will react to the prices on different days. Thus, we developed algorithms that continually infer users' changing responses to the offered prices, without collecting private data usage information. We implemented these algorithms in a prototype system, which we used to conduct the first field trial of TDP for mobile data. We showed that our TDP algorithms led to significantly less temporal fluctuation in demand, benefiting the service provider and lowering users' data prices overall.
Sponsored data, an emerging form of data pricing offered by AT&T, allows content providers to subsidize their users' data traffic; the resulting revenue can be used to expand existing data networks. We consider the impact of sponsored data on different content providers and users, showing that cost-aware users and cost-unaware content providers reap disproportionate benefits. Simulations across representative users and content providers verify that sponsored data may help to bridge the digital divide between different types of users, yet can exacerbate competition between content providers.
Biography: Carlee Joe-Wong is a Ph.D. candidate and Jacobus fellow at Princeton University's Program in Applied and Computational Mathematics. She is interested in mathematical aspects of computer and information networks, including work on smart data pricing and fair resource allocation. Carlee received her A.B. in mathematics in 2011 and her M.A. in applied mathematics in 2013 both from Princeton University. In 2013-“2014, she was the Director of Advanced Research at DataMi, a startup she co-founded from her data pricing research. Carlee received the INFORMS ISS Design Science Award in 2014 and the Best Paper Award at IEEE INFOCOM 2012. She was a National Defense Science and Engineering Graduate Fellow (NDSEG) from 2011 to 2013.
Host: Professor Konstantinos Psounis
Location: 248
Audiences: Everyone Is Invited
Contact: Suzanne Wong
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CS Colloquium: Tien Nguyen (Iowa State University) -Program Analysis and Large-scale Code Mining for Software Quality
Tue, Apr 05, 2016 @ 04:00 PM - 05:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Tien Nguyen, Iowa State University
Talk Title: Program Analysis and Large-scale Code Mining for Software Quality
Series: CS Colloquium
Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium
Detecting and fixing software defects are important in developing reliable and high-quality software systems. Software defects are so prevalent and detrimental that they cost the US economy an estimated $59 billion annually. In this talk, I will present my research that develops advanced program analysis methods in combination with large-scale code mining and software analytics to support developers in the process of software maintenance, detecting and fixing software defects. I will present our cross-stage, variability-aware program analysis infrastructure for dynamic Web applications to support the detection and debugging of software defects in web development. The advanced techniques include output-oriented symbolic execution, variability-aware web code analysis, and multi-language, embedded code analysis. I will also present an integrated approach between program analysis and statistical learning to mine from a large-scale code repository infrastructure to support important software engineering tasks including inferring and checking the specifications of software libraries, migrating code from one platform in a programming language to another, and detecting software vulnerabilities in API usages with pattern mining and anomaly detection.
Biography: Dr. Tien N. Nguyen is currently an Associate Professor in both Electrical and Computer Engineering Department and Computer Science Department at Iowa State University (ISU). He is currently serving as the Chair of Software Systems Area. Since joining ISU in 2005, his research interests include program analysis, mining large-scale software repositories, and software maintenance and evolution. Since 2009, he has been awarded 3 ACM SIGSOFT Distinguished Paper Awards, one Best Paper Award, and one best ICSE Formal Research Demonstration Award at the top-tier, international software engineering conferences including ICSE, FSE, and ASE. His research has been supported by 14 external grants including 8 NSF grants from US National Science Foundation (PI on 5 of them), and several grants from industry including ABB Software Research Grant Program, Litton Industry, IBM research, and Agile Alliance Academic Program. He will be serving as the Program Co-Chair of the 32nd ACM/IEEE International Conference on Automated Software Engineering (ASE 2017) and the Co-Chair of the Formal Research Demo Track at the 40th International Conference on Software Engineering (ICSE 2018). He has served on Program Committees and Program Boards of top-tier software engineering conferences including ICSE, FSE, ASE, OOPSLA, ECOOP, and ICSME. He also served as the Chair of Formal Research Demo Track at ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE 2010). He was awarded the Litton Professorship Medallion Award from Iowa State University in 2008 for young faculty who exhibits excellent leadership in research and teaching. He is one of the key persons who have first contributed to the ABET-accredited B.Sc. degree program in Software Engineering at ISU.
Host: CS Department
More Info: https://bluejeans.com/514828239
Location: Henry Salvatori Computer Science Center (SAL) - 101
Audiences: Everyone Is Invited
Contact: Assistant to CS chair
Event Link: https://bluejeans.com/514828239
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Viterbi Spotlight Series: Civil and Environmental Engineering
Tue, Apr 05, 2016 @ 07:00 PM - 08:00 PM
Viterbi School of Engineering Career Connections
Workshops & Infosessions
Students will hear from alumni regarding their academic and professional experiences.
Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Viterbi Undergraduate Students
Contact: RTH 218 Viterbi Career Services
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Viterbi Civil & Environmental Engineering Alumni Spotlight
Tue, Apr 05, 2016 @ 07:00 PM - 08:00 PM
Viterbi School of Engineering Student Affairs
Workshops & Infosessions
Students will from alumni panelists regarding their academic and professional experiences.
To register, click here https://myviterbi.usc.edu/vasa/?PostingID=1234567991.Location: 211
Audiences: Undergrad
Contact: Diane Yoon
Event Link: https://myviterbi.usc.edu/vasa/?PostingID=1234567991
