Selected Invited Talks

  • Aylin Caliskan. Algorithmic Mirrors of Human Biases.
    University of Chicago. Jun 3, 2019.
  • Aylin Caliskan. Algorithmic Mirrors of Society.
    University of Maryland. Apr 11, 2019.
  • Aylin Caliskan. Algorithmic Mirrors of Society.
    National Academy of Sciences. Feb 20, 2019.
  • Aylin Caliskan. Bias in AI.
    Social Science Foo Camp at Facebook. Feb 4, 2019.
  • Aylin Caliskan. Bias in Machine Learning.
    ACM & Women in Computer Science at GWU. Oct 12, 2018.
  • Aylin Caliskan. AI & Equity.
    Invited Lecture MIT Media Lab. Sep 25, 2018.
  • Aylin Caliskan. The Great Power of AI: Algorithmic Mirrors of Society.
    DEFCON. Aug 11, 2018.
  • Aylin Caliskan. The Great Power of AI: Algorithmic Mirrors of Individuals and Society
    Brown University, Duke University, ETH Zurich, George Washington University, Tufts University, University of Maryland, University of Virginia, and Yale University. Feb - Apr 2018.
  • Aylin Caliskan. Beyond Big Data: What Can We Learn from AI Models?
    Invited Keynote AISec - CCS Workshop. Nov 3, 2017.
  • Aylin Caliskan. Natural language processing and Privacy: A double edged sword.
    Invited Keynote Infer - PETS Workshop. Jul 18, 2016.
  • Aylin Caliskan-Islam. Code Stylometry and Programmer De-anonymization.
    Göttingen University. Dec 23, 2015.
  • Aylin Caliskan-Islam. De-anonymizing Programmers via Code Stylometry.
    Cornell Systems Lunch. Dec 4, 2015.
  • Aylin Caliskan-Islam. De-anonymizing Programmers via Code Stylometry.
    Guest Lecture, ELE574-Communications Security and Privacy, Princeton University. Oct 20, 2015.
  • Aylin Caliskan-Islam. Security Review of Digital Privacy and the Underground: Miscreant Activity in the Internet.
    Guest Lecture, CS475-Computer and Network Security. Mar 6, 2014. slides
  • Selected Talks

  • Aylin Caliskan and Rachel Greenstadt. De-anonymizing Programmers from Source Code.
    DEFCON. Aug 10, 2018. video
  • Aylin Caliskan. A Story of Discrimination and Unfairness.
    33C3 - Chaos Communication Congress, Dec 27, 2016. video
  • Aylin Caliskan-Islam. A Story of Discrimination and Unfairness: Implicit Bias Embedded in Language Models.
    HotPETS 2016 - PETS. Jul 22, 2016. video - Best Talk Award.
  • Aylin Caliskan-Islam. De-anonymizing Programmers and Code Stylometry - Large Scale Authorship Attribution from Source Code and Executable Binaries of Compiled Code.
    Princeton University CITP Luncheon Speaker Series, Mar 1, 2016. video
  • Aylin Caliskan-Islam. De-anonymizing Programmers.
    32C3 - Chaos Communication Congress, Dec 29, 2015. video
  • Aylin Caliskan-Islam. Support Vector Machines, Kernel Methods, Random Forests, and Feature Projection.
    Guest Lecture, CS613-Machine Learning, Jan 28, 2015. Nominated for the Teaching Assistant Excellence Award slides
  • Aylin Caliskan-Islam, Rachel Greenstadt, and Rebekah Overdorf. Source Code and Cross-Domain Stylometry. Role of Stylometry in Privacy.
    31st Chaos Communication Congress, Dec 29, 2014. video
  • Sadia Afroz and Aylin Caliskan-Islam. Stylometry and Online Underground Markets.
    29th Chaos Communication Congress, Dec 28, 2012. video
  • Aylin Caliskan-Islam. Quantifying the Translator Effect: Identifying authors and machine translation tools in translated text.
    Girl Geek Dinners Philly, Feb 18, 2011. slides