Ankur Taly
Staff Research Scientist, Google Inc., Mountain View (since Aug. 2012)
Ph.D: Stanford University, 2012
BTech: IIT Bombay, 2007

Email: ataly AT google.com

Research Interests: Machine Learning, Logic and Formal methods, Programming languages, Security.

Curriculum Vitae: PDF

News:
  • [Feb. 2019] DREAM seminar on Integrated Gradients at UC Berkeley. Slides, Video
  • [Dec. 2018] Paper accepted by the American Academy of Opthalmology on studying the impact of Integrated Gradient explanations on doctors gradient Diabetic Retinopathy cases (in an assisted read seting)
  • [Jun. 2018] Paper on debugging question-answering networks accepted at ACL 2018
  • [Jun. 2017] Talk at SRI International on understanding deep neural networks. Slides
  • [May. 2017] Attribution paper accepted at ICML 2017.
  • [Mar. 2017] Our post on the Google DataScience Blog on attributing predictions made by deep neural networks.
  • [Oct. 2016] Outstanding paper award at ESORICS 2016 for our private discover paper
  • [Aug. 2016] Taught a short course on "Distributed Authorization" at FOSAD 2016 (summer school), Bertinoro, Italy

  • Research Themes


    PC Participation
    PLDI (ERC) 2019, PLDI (ERC) 2014, HOTSPOT 2013, PLAS 2013, POST 2014


    Teaching


    Interns Supervised


    Dissertation

    Sandboxing Untrusted JavaScript (Abstract, PDF, Slides)
    PhD Dissertation, Stanford University, 2013


    Publications