Pinar Ozisik

Ph.D. Candidate
College of Information and Computer Sciences
University of Massachusetts Amherst


I am a Ph.D. student in the Cryptoeconomics Lab at UMass Amherst, where I work with Prof. Brian Levine, and co-affiliated with the Autonomous Learning Lab. I am in the intersection of a few different areas: networking, security and reinforcement learning. I work on quantifying and improving the performance of blockchain systems, and study whether reinforcement learning is subject to data corruption attacks, i.e., when data is noisy or has been adversarially altered. Here is a copy of my CV.

Conference and Workshop Papers

  • Graphene: Efficient Interactive Set Reconciliation Applied to Blockchain Propagation.
    A. Pinar Ozisik, Brian N. Levine, George Bissias, Gavin Andresen, Darren Tapp, and Sunny Katkuri. In SIGCOMM, August 2019.
  • Graphene: A New Protocol for Block Propagation Using Set Reconciliation. [Short version]
    A. Pinar Ozisik, Gavin Andresen, George Bissias, Amir Houmansadr, and Brian N. Levine. In International Workshop on Cryptocurrencies and Blockchain Technology, September 2017.
  • Sybil-Resistant Mixing for Bitcoin.
    George Bissias, A. Pinar Ozisik, Brian N. Levine, and Marc Liberatore. In Proc. ACM Workshop on Privacy in the Electronic Society, November 2014.
  • Detecting Stumbles with a Single Accelerometer.
    Nabil Hajj Chehade, A. Pinar Ozisik, James Gomez, Fabio Ramos, and Gregory J. Pottie. In International Conference of the IEEE Engineering in Medicine & Biology Society, August 2012.
  • The Effects of Finite Populations and Selection on the Emergence of Signaling.
    Kyle I. Harrington, A. Pinar Ozisik, and Jordan Pollack. In Proceedings of Artificial Life XIII, July 2012.
  • The Effect of Tags on the Evolution of Honest Signaling.
    A. Pinar Ozisik and Kyle I. Harrington. In Proceedings of the Genetic and Evolutionary Computation Conference Companion, July 2012.