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Events for April 12, 2016

  • CS Colloquium: Kobbi Nissim (Harvard University) - Privacy: From Theory to Practice

    Tue, Apr 12, 2016 @ 11:00 AM - 12:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Kobbi Nissim, Dept. of Computer Science, Ben-Gurion University and Center for Research on Computation and Society, Harvard University

    Talk Title: Privacy: From Theory to Practice

    Series: CS Colloquium

    Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium

    The treatment of privacy in data analysis has taken a dramatic shift a little more than a decade ago - as failures of traditional privacy preserving techniques were beginning to accumulate, a theoretical, foundational approach to privacy emerged. A central concept in this theoretical treatment is "differential privacy", a definition of privacy in the context of data analysis that has concrete provable privacy consequences. Differential privacy became to be a rich, fast evolving framework for developing privacy preserving algorithms and for studying some of the fundamental properties of privacy. Moreover, differential privacy proved to interact fruitfully with many other research areas, and even to influence applications that are (seemingly) not related to privacy. With a mature theoretical basis, differential privacy is now at prime time for inclusion in real-world systems.

    We will look into the intuition behind differential privacy, review some of is theory, and some of the challenges towards using differential privacy in practice. In particular, we will focus on a new legal-technological methodology for making rigorous claims that differential privacy satisfies existing legal privacy regulations.

    The talk would be self-contained and no prior background on privacy would be assumed.

    Host: CS Department

    Location: Olin Hall of Engineering (OHE) - 136

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

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  • CS Colloquium: Qixing Huang (Toyata Technical Institute Chicago) - Visual Computing Using Big 3D Data

    Tue, Apr 12, 2016 @ 04:00 PM - 05:00 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Qixing Huang, Toyata Technical Institute Chicago

    Talk Title: Visual Computing Using Big 3D Data

    Series: CS Colloquium

    Abstract: This lecture satisfies requirements for CSCI 591: Computer Science Research Colloquium

    Over the past decade, the quantity of accessible visual data has undergone unprecedented expansion. This data is not only vast but also exists within numerous modalities such as images, videos, and 3D models. While researchers have aptly exploited the inflation of these first two areas, the significant growth in 3D data has been predominantly overlooked. In this talk, I will present algorithms that utilize big 3D data to accomplish many previously hard or even impossible tasks in visual computing. These include reconstructing complete 3D models from single images, identifying meaningful correspondences between drastically different objects (e.g., between an elephant and a cat) as well as extracting semantic parts of an object without supervision. The guiding principle is to establish high-quality maps for aggregating and propagating information. I will discuss fundamental map computation tools for large-scale datasets.

    Biography: Qixing 'Peter' Huang is currently a research assistant professor at the Toyata Technical Institute in Chicago. He obtained his PhD in Computer Science from Stanford University and his MS and BS in Computer Science from Tsinghua University. He has also worked at Adobe Research and Google Research, where he developed some of the key technologies for Google Street View. Dr. Huang's research spans the fields of computer vision, computer graphics, and machine learning. In particular, he is interested in designing new algorithms that process and analyze big geometric data (e.g., 3D shapes/scenes). He is also interested in statistical data analysis, compressive sensing, low-rank matrix recovery, and large-scale optimization, which provides theoretical foundation for his research. Qixing has published extensively at SIGGRAPH, CVPR and ICCV, and has received grants from NSF and various industry gifts. He also received the best paper award at the Symposium on Geometry Processing 2013.

    Host: CS Department

    More Info: https://bluejeans.com/345837634

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

    Audiences: Everyone Is Invited

    Contact: Assistant to CS chair

    Event Link: https://bluejeans.com/345837634

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