Alishah Chator


I am a PhD candidate at Johns Hopkins University studying computer science. I am part of the Advanced Research in Cryptography group and advised by Professor Matthew Green. I am currently interested in applied cryptography and broadly on problems in computer security that impact technology policy. In particular, I seek to improve privacy by designing schemes with rigorously proven guarantees and auditing existing schemes to understand how privacy loss arises. Outside of my work at JHU, I have collaborated with Professor Narayanan's group in the CITP at Princeton University in blockchain analysis.

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@cs.jhu.edu.

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