Logo: University of Southern California

Events Calendar



Select a calendar:



Filter July Events by Event Type:



Events for the 5th week of July

  • CAIS Seminar: Dr. Yevgeniy Vorobeychik (Vanderbilt University) - The Art and Science of Adversarial Machine Learning

    Mon, Jul 24, 2017 @ 11:00 AM - 12:00 PM

    Computer Science

    Conferences, Lectures, & Seminars


    Speaker: Dr. Yevgeniy Vorobeychik, Vanderbilt University

    Talk Title: The Art and Science of Adversarial Machine Learning

    Series: Center for AI in Society (CAIS) Seminar Series

    Abstract: The success of machine learning has led to numerous attempts to apply it in adversarial settings like spam and malware detection. The core challenge in this class of applications is that adversaries are not static data generators, but make a deliberate effort to either evade the classifiers deployed to detect them, or degrade the quality of the data used to train the classifiers. I will discuss our recent research into the problem of adversarial classifier evasion, specifically the theoretical foundations of black-box attacks on classifiers, and several of our efforts in designing evasion-robust classifiers on binary feature spaces, including a principled, theoretically-grounded, retraining method.

    Second, I will discuss scientific foundations of classifier evasion modeling. A dominant paradigm in the machine learning community is to model evasion in "feature space" through direct manipulation of classifier features. In contrast, the cyber security community developed several "problem space" attacks, where actual instances (e.g., malware) are modified, and features are then extracted from the evasive instances. I will show, through a case study of PDF malware detection, that feature-space models are a very poor proxy for problem space attacks. Then I will demonstrate a simple "fix" to identify a small set of features which are invariant (conserved) with respect to evasion attacks, and constrain these features to remain unchanged in feature-space models. Lastly, I will show that such conserved features exist and cannot be inferred using standard regularization techniques, but can be automatically identified for a given problem-space evasion model.

    Biography: Yevgeniy Vorobeychik is an Assistant Professor of Computer Science, Computer Engineering, and Biomedical Informatics at Vanderbilt University. He received Ph.D. (2008) and M.S.E. (2004) degrees in Computer Science and Engineering from the University of Michigan, and a B.S. degree in Computer Engineering from Northwestern University. His work focuses on adversarial reasoning in AI, computational game theory, security and privacy, network science, and agent-based modeling. He received an NSF CAREER award in 2017, was an invited early career spotlight speaker at IJCAI 2016.

    Host: Milind Tambe

    Location: Ronald Tutor Hall of Engineering (RTH) - 217

    Audiences: Everyone Is Invited

    Posted By: Assistant to CS chair

    OutlookiCal
  • Repeating EventSix Sigma Black Belt

    Tue, Jul 25, 2017

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: N/A, N/A

    Talk Title: Six Sigma Black Belt

    Abstract:
    Course Dates:
    Week 1: July 25-27, 2017
    Week 2: August 15-17, 2017
    Week 3: September 12-15, 2017
    Week 4: October 24-27, 2017

    Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.

    NOTE: Participants must provide a windows based computer running Microsoft Office to the seminar.

    Host: CAPP

    More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-black-belt

    Audiences: Everyone Is Invited

    View All Dates

    Posted By: Viterbi Professional Programs

    OutlookiCal
  • Six Sigma Black Belt

    Tue, Jul 25, 2017 @ 09:00 AM - 05:00 PM

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: TBD, TBD

    Talk Title: Six Sigma Black Belt

    Abstract: Earn Six Sigma Black Belt Certification through the USC Viterbi School of Engineering, with Trojan Family pricing available.

    Host: Professional Programs

    More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-black-belt

    Audiences: Registered Attendees

    Posted By: Viterbi Professional Programs

    OutlookiCal
  • Repeating EventSix Sigma Black Belt

    Wed, Jul 26, 2017

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: N/A, N/A

    Talk Title: Six Sigma Black Belt

    Abstract:
    Course Dates:
    Week 1: July 25-27, 2017
    Week 2: August 15-17, 2017
    Week 3: September 12-15, 2017
    Week 4: October 24-27, 2017

    Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.

    NOTE: Participants must provide a windows based computer running Microsoft Office to the seminar.

    Host: CAPP

    More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-black-belt

    Audiences: Everyone Is Invited

    View All Dates

    Posted By: Viterbi Professional Programs

    OutlookiCal
  • Repeating EventSix Sigma Black Belt

    Thu, Jul 27, 2017

    Executive Education

    Conferences, Lectures, & Seminars


    Speaker: N/A, N/A

    Talk Title: Six Sigma Black Belt

    Abstract:
    Course Dates:
    Week 1: July 25-27, 2017
    Week 2: August 15-17, 2017
    Week 3: September 12-15, 2017
    Week 4: October 24-27, 2017

    Learn the advanced problem-solving skills you need to implement the principles, practices and techniques of Six Sigma to maximize performance and cost reductions in your organization. During this three-week practitioner course, you will learn how to measure a process, analyze the results, develop process improvements and quantify the resulting savings. You will be required to complete a project demonstrating mastery of appropriate analytical methods and pass an examination to earn Six Sigma Black Belt Certificate. This practitioner course for Six Sigma implementation provides extensive coverage of the Six Sigma process as well as intensive exposure to the key analytical tools associated with Six Sigma, including project management, team skills, cost analysis, FMEA, basic statistics, inferential statistics, sampling, goodness of fit testing, regression and correlation analysis, reliability, design of experiments, statistical process control, measurement systems analysis and simulation. Computer applications are emphasized.

    NOTE: Participants must provide a windows based computer running Microsoft Office to the seminar.

    Host: CAPP

    More Info: https://gapp.usc.edu/professional-programs/short-courses/industrial-systems/six-sigma-black-belt

    Audiences: Everyone Is Invited

    View All Dates

    Posted By: Viterbi Professional Programs

    OutlookiCal
  • USC Graduate Engineering Info Session: Visakhapatnam, India

    Sat, Jul 29, 2017 @ 03:00 PM - 04:30 PM

    Viterbi School of Engineering Graduate Admission

    Workshops & Infosessions


    This event will be hosted by Sudha Kumar, Director of the USC India Office. Candidates with a strong academic background and a Bachelor's degree in engineering, computer science, applied mathematics, or physical science (such as physics, biology, or chemistry) are welcome to attend

    Each information session will include a presentation on:

    - Master's & Ph.D. Programs in Engineering and Computer Science
    - How to Apply
    - Scholarships and Funding
    - Student Life at USC and in Los Angeles
    -Application Tips

    There will also be sufficient time for questions during the information session. In order to guarantee seating availability, we request completion of the online registration form using the Registration link below
    Register to Attend

    Location: Four Points by Sheraton, 10-28-3, Uplands, Waltair Main Road Waltair Main Road Visakhapatnam

    Audiences: Everyone Is Invited

    Posted By: USC Viterbi Graduate & Professional Programs

    OutlookiCal