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Events for October 19, 2017

  • Interview Strategies

    Thu, Oct 19, 2017

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Discover tips on how to prepare for both technical and behavioral interviews


    Online log-in info coming soon!

    Location: ONLINE

    Audiences: All Viterbi Students

    Contact: RTH 218 Viterbi Career Connections

  • PhD Defense- You Kyu Lee

    Thu, Oct 19, 2017 @ 01:00 PM - 03:00 PM

    Thomas Lord Department of Computer Science

    University Calendar

    Date: Thu, Oct 19, 2017 @ 1:00 PM - 3:00 PM

    Location: Hedco Chemical Engineering (HED) - 103

    PhD Candidate: Youn Kyu Lee

    Committee: Nenad Medvidovic (CS, chair), William G.J. Halfond (CS), Sandeep Gupta (EE)

    Title: Reducing Inter-Component Communication Vulnerabilities in Event-Based Systems

    Event-based system (EBS) has become popular because of its high flexibility, scalability, and adaptability. These advantages are facilitated by its reliance on implicit invocation and implicit concurrency. Specifically, in EBS, components may not know the consumers of the events they publish, nor do they necessarily know the producers of events they consume. This communication mechanism is based on non-determinism in event processing, which can introduce inherent security vulnerabilities into a system referred to as event attacks. Event attack is a particular type of attack that can abuse, incapacitate, and damage a target system by exploiting the system's event-based communication model. Different types of event attacks have been identified in a range of domains to date. It is hard to prevent event attacks because they are administered in a way that does not differ from ordinary event-based communication in general. While a number of techniques have focused on security threats in EBS, they do not appropriately resolve the event attack problems or suffer from inaccuracy in detecting and preventing event attacks. Furthermore, fundamental security flaws, which can be exploited by event attacks, have not been clearly identified yet. In order to address the risk of event attacks, this dissertation presents four main approaches: (1) a new taxonomy for security flaws in EBS, which can serve as a basis for resolving event attack problems; (2) SEALANT (Security for End-users of Android via Light-weight ANalysis Techniques), a novel protection mechanism for Android, one of the most widely used event-based platforms; (3) SCUTUM (SeCUrity for evenT-based systems implemented Using MOM platforms), a novel vulnerability detection technique for EBSs that are implemented by using message-oriented middleware platforms; and (4) ViVA (Visualizer for eVent-based Architectures), a new visualization technique for monitoring and identifying security vulnerabilities in EBS.

    Location: 103

    Audiences: Everyone Is Invited

    Contact: Lizsl De Leon

  • CS Colloquium: Phillip Isola (UC Berkeley) - Learning to See Without a Teacher

    Thu, Oct 19, 2017 @ 03:30 PM - 04:50 PM

    Thomas Lord Department of Computer Science

    Conferences, Lectures, & Seminars

    Speaker: Phillip Isola, UC Berkeley

    Talk Title: Learning to See Without a Teacher

    Series: Visa Research Machine Learning Seminar Series hosted by USC Machine Learning Center

    Abstract: This lecture satisfies requirements for CSCI 591: Research Colloquium.

    Over the past decade, learning-based methods have driven rapid progress in computer vision. However, most such methods still require a human "teacher" in the loop. Humans provide labeled examples of target behavior, and also define the objective that the learner tries to satisfy. The way learning plays out in nature is rather different: ecological scenarios involve huge quantities of unlabeled data and only a few supervised lessons provided by a teacher (e.g., a parent). I will present two directions toward computer vision algorithms that learn more like ecological agents. The first involves learning from unlabeled data. I will show how objects and semantics can emerge as a natural consequence of predicting raw data, rather than labels. The second is an approach to data prediction where we not only learn to make predictions, but also learn the objective function that scores the predictions. In effect, the algorithm learns not just how to solve a problem, but also what exactly needs to be solved in order to generate realistic outputs. Finally, I will talk about my ongoing efforts toward sensorimotor systems that not only learn from provided data but also act to sample more data on their own.

    Biography: Phillip Isola is currently a Fellow at OpenAI, and he will be starting as an Assistant Professor in EECS at MIT in 2018. He received his Ph.D. in the Brain & Cognitive Sciences department at MIT, and spent two years as a postdoc in the EECS department at UC Berkeley. He studies visual intelligence from the perspective of both minds and machines.

    Host: Joseph Lim

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

    Audiences: Everyone Is Invited

    Contact: Computer Science Department

  • Environmental Defense Fund Info Session

    Thu, Oct 19, 2017 @ 05:30 PM - 06:30 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    EDF Climate Corps is the premier graduate fellowship program to jump-start your career in clean energy or sustainability. Fellows join an exclusive network of over a thousand EDF Climate Corps alumni and other energy and sustainability professionals, working to advance climate solutions in leading organizations around the world.

    Our competitive program selects qualified candidates from a variety of disciplines to work for a summer embedded within leading organizations to identify customized energy management solutions. Fellows gain access to an interactive training in-person training as well as resources and continuing education, including professional development opportunities, online resources and webinars. Apply Today!

    Since 2008, EDF Climate Corps has placed over 800 fellows in host organizations including Under Armour, REI, NRG Energy, City of Los Angeles, JLL, TPG Capital, Verizon, ICF International, General Motors, and the New York City Housing Authority. A list of 2018 host organizations will be available to candidates during the interview process and fellows are matched with host organizations based on their location, industry and project type preferences. See the full list of past organizations on our website.

    Projects to Match Your Unique Skills and Career Goals

    Working under the guidance of a host supervisor and EDF engagement manager, fellows uncover strategic energy management solutions for their host organization. Projects culminate in a written report and series of recommendations to the host organization. Projects may focus on:

    -Scaling Energy Efficiency Solutions: Identify energy and cost-saving measures, evaluate financing options and explore opportunities to implement advanced energy management technologies across a portfolio of buildings.

    -Carbon Mitigation Strategies: Develop GHG targets that are based in science and create strategies to achieve emission reduction goals through data-driven analysis such as energy benchmarking and carbon accounting.

    -Clean and Renewable Energy: Uncover opportunities for demand response, renewable energy generation, storage and clean energy procurement policies.

    -Sustainable Supply Chain Management: Quantify and baseline scope 3 emissions and develop recommendations for engaging suppliers on emission reduction opportunities.

    Location: Seeley G. Mudd Building (SGM) - 101

    Audiences: Everyone Is Invited

    Contact: RTH 218 Viterbi Career Connections

  • Biomedical Engineering Alumni & Industry Spotlight

    Thu, Oct 19, 2017 @ 07:00 PM - 08:00 PM

    Viterbi School of Engineering Career Connections

    Workshops & Infosessions

    Students will hear from alumni and industry professionals regarding their academic/professional experiences.

    Location: Ronald Tutor Hall of Engineering (RTH) - 211

    Audiences: All Viterbi Undergraduate Students

    Contact: RTH 218 Viterbi Career Connections