Alishah Chator


I'm currently a postdoc at the Faculty of Computing and Data Sciences at BU, mentored by Mayank Varia. I am interested in applied cryptography and broadly on problems relating to privacy. In particular, I seek to improve everyday privacy by examining deployment challenges that arise in both theory and practice.

I received my PhD at Johns Hopkins University studying computer science. I was part of the Advanced Research in Cryptography group and was advised by Professor Matthew Green. Outside of my work at JHU, I had collaborated with Professor Narayanan's group in the CITP at Princeton University in blockchain analysis. A copy of my dissertation can be found here.

I was previously an undergraduate student at the University of Michigan studying Computer Science, Mathematics, and Physics. While there, I worked with Professor J. Alex Halderman, most recently aiding in the development of censys.io.

I can be reached at alishahc AT bu DOT edu. If encryption is needed, I can also be reached at alishahc AT proton DOT me.

Teaching


  • [DS 210] Programming for Data Science [link]
    Instructor, Fall 2024 (BU)
  • [DS 210] Programming for Data Science [link]
    Instructor, Spring 2024 (BU)
  • [EN 601.445/645] Practical Cryptographic Systems [link]
    Instructor, Fall 2021 (JHU)
    Teaching Assistant, Fall 2017 (JHU)

Publications


  • BlockSci: Design and applications of a blockchain analysis platform
    Harry A. Kalodner, Malte Möser, Kevin Lee, Steven Goldfeder, Martin Plattner, Alishah Chator, Arvind Narayanan
    USENIX 2020
    [preprint] [proceedings]
  • nQUIC: Noise-Based QUIC Packet Protection
    Mathias Hall-Andersen, David Wong, Nick Sullivan, Alishah Chator
    EPIQ@CoNEXT 2018
    [preprint] [proceedings]
  • How to Squeeze a Crowd: Reducing Bandwidth in Mixing Cryptocurrencies
    Alishah Chator, Matthew Green
    IEEE S&B 2018
    [preprint] [proceedings]
  • Don’t Talk to Strangers: On the Challenges of Intelligent Vehicle Authentication
    Alishah Chator, Matthew Green
    VEHITS 2018
    [preprint] [proceedings]

Talks


  • nQUIC: Noise-Based QUIC Packet Protection [slides]
    QUIPPS@NDSS 2020, Invited Talk
    EPIQ@CoNEXT 2018 [slides]
  • How to Squeeze a Crowd: Reducing Bandwidth in Mixing Cryptocurrencies [slides]
    IEEE S&B 2018
  • Don’t Talk to Strangers: On the Challenges of Intelligent Vehicle Authentication [slides]
    VEHITS 2018