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Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies Proceedings of a Workshop (2019) / Chapter Skim
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Appendix B: Workshop Agenda
Pages 62-64

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From page 62...
... Hope Ruzena Bajcsy, University of California, Berkeley 10:30 Break Session 2: Adversarial Attacks 11:00 Media Forensics Matthew Turek, Defense Advanced Research Projects Agency 11:45 Forensic Techniques Hany Farid, Dartmouth College 62
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From page 63...
... APPENDIX B 63 12:30 PM Lunch Session 3: Detection and Mitigation of Adversarial Attacks and Anomalies 1:30 Joysula Rao, IBM Corporation 2:15 Circumventing Defenses to Adversarial Examples Anish Athalye, Massachusetts Institute of Technology 3:00 Break Session 4: Enablers of Machine Learning Algorithms and Systems 3:30 Impact of Neuroscience on Data Science for Perception John Tsotsos, York University, Canada 5:30 Capability Technology Matrix Tables Preparation 6:00 Adjourn for the Day DAY 2: DECEMBER 12, 2018 8:00 AM Sponsor Remarks David M Isaacson, Office of the Director of National Intelligence Session 5: Recent Trends in Machine Learning -- 1 8:15 On Open Set and Adversarial Issues in Machine Learning Terry Boult, University of Colorado, Colorado Springs 9:00 GANs for Domain Adaptation and Security Against Attacks Rama Chellappa, University of Maryland, College Park 9:45 Break Session 6: Recent Trends in Machine Learning -- 2 10:00 Recent Advances in Optimization for Machine Learning Tom Goldstein, University of Maryland 10:45 Forecasting Using Machine Learning Aram Galstyan, Information Sciences Institute, University of Southern California
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From page 64...
... 64 ROBUST MACHINE LEARNING ALGORITHMS AND SYSTEMS Session 7: Plenary Session 11:30 Plenary Talk Dawn Song, University of California, Berkeley 12:30 PM Lunch Session 8: Recent Trends in Machine Learning -- 3 1:30 Domain Adaptation Judy Hoffman, Georgia Institute of Technology 2:15 Explainable Machine Learning Anna Rohrbach, University of California, Berkeley 3:00 Break Session 9: Machine Learning System 3:15 Building Domain-Specific Knowledge with Human-in-the-Loop Yunyao Li, IBM Corporation 4:00 Robust Design of Machine Learning Systems Anthony Hoogs, Kitware, Inc. Session 10: Capability Technology Matrix Tables 4:45 Discussion on Preparing the Capability Technology Matrix Tables 5:30 Adjourn Workshop
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Key Terms

  • matthew turek
  • adversarial attacks
  • defense advanced
  • advanced research
  • media forensics

  • forensics matthew
  • hope ruzena
  • dartmouth college
  • techniques hany
  • ruzena bajcsy

  • hany farid
  • research projects
  • forensic techniques
  • projects agency


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