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

Email: ataly AT

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

Curriculum Vitae: PDF

  • [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


    Interns Supervised


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