Bijeeta Pal

Phd Candidate· Cornell University.
Email - bp397 AT cornell DOT edu
I will be on the job market this year! :)

I am a PhD candidate in the Computer Science department at Cornell University, working with Prof. Thomas Ristenpart. I graduated with a Bachelor of Technology (B.Tech.) in Computer Science and Engineering from Indian Institute of Technology, BHU, India. I received my master's in Computer Sciences from the Purdue University. During my master's, I worked as a research assistant with Prof. Mikhail Atallah.

Research

I am interested in security and privacy of the ever-changing digital world.

My research focuses on understanding the new classes of attacks emerging in the intersection of analysis, security, and privacy of data and developing defenses to counter them. These attacks are often application-specific, dependent on a particular threat model and assumptions about the attacker’s resources. I use a combination of cryptography and empirical analysis as tools to build robust and efficient systems that are resilient against these attacks.

My recent work on building a second-generation credential checking system, Might I Get Pwned (MIGP), is deployed at Cloudflare. It warns users from selecting passwords similar (and same) to a breached password in a secure manner. - The Cloudflare Blog.

I am a recipient of 2021 J.P. Morgan PhD Fellowship.

Publication

  • Bijeeta Pal, Mazharul Islam, Rahul Chatterjee, Thomas Ristenpart, Might I Get Pwned: A Second Generation Password Breach Alerting System, Usenix Security 2022
  • Sophie Stephenson, Bijeeta Pal, Yuhang Zhao, Earlence Fernandes, Rahul Chatterjee, SoK: Authentication in Augmented and Virtual Reality, IEEE Symposium on Security and Privacy 2022
  • Bijeeta Pal, Esha Ghosh, Melissa Chase, Entity Level Membership Attacks in Smart Reply (In progress)
  • Bijeeta Pal, Shruti Tople, To Transfer or Not to Transfer: Misclassification Attacks Against Transfer Learned Text Classifiers, arXiv preprint, arXiv:2001.02438, 2020
  • Lucy Li, Bijeeta Pal, Junade Ali, Nick Sullivan, Rahul Chatterjee, Thomas Ristenpart, Protocols for Checking Compromised Credentials, ACM CCS 2019
  • Bijeeta Pal, Tal Daniel, Rahul Chatterjee, and Tom Ristenpart, Beyond Credential Stuffing: Password Similarity Models using Neural Networks, IEEE Symposium on Security and Privacy 2019
  • Madhushi Verma, Mukul Gupta, Bijeeta Pal, K. K. Shukla, Roulette Wheel Selection based Heuristic Algorithm for the Orienteering Problem, International Journal of Computers & Technology 2014, vol. 13 (1), pp. 4127-4145, ISSN: 2277-3061
  • Madhushi Verma, Bijeeta Pal, Mukul Gupta and K. K. Shukla, A Stochastic Greedy Heuristic Algorithm for the Orienteering, 5th International Conference on Computer and Communication Technology 2014

Teaching

I TA’d the following grad course:

  • CS 5435: Security and Privacy in the Wild (Fall 2017, Fall 2019)

    • Work Experience

    JP Morgan

    ML Associate Intern
    FX E-trading team

    Built a online trainig model that determines the optimal skew aggressiveness
    given a market condition using contextual bandits(reinforcement learning)

    June 2021 - August 2021

    Microsoft Research

    Research Intern
    Cryptography and Privacy Research Team

    Explored memorization and leakage attacks in Smart Reply application.

    June 2020 - August 2020

    Microsoft Research

    Research Intern
    Confidential Computing Team

    Examined security and privacy issues with transfer learning based training

    June 2019 - August 2019

    Amazon

    SDE Intern
    May 2016 - July 2016

    Goldman Sachs

    Analyst
    June 2014 - July 2015

    Interest

    I am trained in an Indian Classical Dance called Kathak and an Indian folk dance form called Rabindra Nitrya.

    During my master's, I attended the basic 101 class for Salsa Dance.