Jessica Sorrell

Assistant Professor
Department of Computer Science
Johns Hopkins University
Office: Malone 303
jess@jhu.edu

Research. I'm broadly interested in the theoretical foundations of responsible computing, particularly questions related to fairness, privacy, robustness, and reproducibility. I also work on problems in lattice-based cryptography, with a focus on secure computation.

About me. As of July, 2024, I am an Assistant Professor at Johns Hopkins University. Before that, I was a postdoc at the University of Pennsylvania, working with Aaron Roth and Michael Kearns. I completed my PhD in Computer Science at the University of California, San Diego, advised by Daniele Micciancio and Russell Impagliazzo. I did my undergrad in Applied Mathematics at the Rochester Institute of Technology.

Publications and Manuscripts

Sensitivity of Stability: Theoretical & Empirical Analysis of Replicability for Adaptive Data Selection in Transfer Learning

Prabhav Singh, Jessica Sorrell

Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces

Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Sengupta, Jessica Sorrell
ICML 2025

Oracle Efficient Reinforcement Learning for Max-Value Ensembles

Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Sengupta, Jessica Sorrell
NeurIPS 2024

Replicable Reinforcement Learning

Eric Eaton, Marcel Hussing, Michael Kearns, Jessica Sorrell
NeurIPS 2023

Stability is Stable: Connections between Replicability, Privacy, and Adaptive Generalization

Mark Bun, Marco Gaboardi, Max Hopkins, Russell Impagliazzo, Rex Lei, Toniann Pitassi, Satchit Sivakumar, Jessica Sorrell
STOC 2023

Multicalibration as Boosting for Regression

Ira Globus-Harris, Declan Harrison, Michael Kearns, Aaron Roth, Jessica Sorrell
ICML 2023

Securing Approximate Homomorphic Encryption Using Differential Privacy

Baiyu Li, Daniele Micciancio, Mark Schultz, Jessica Sorrell
Crypto 2022

Reproducibility in Learning

Russell Impagliazzo, Rex Lei, Toniann Pitassi, Jessica Sorrell
STOC 2022

Boosting in the Presence of Massart Noise

Ilias Diakonikolas, Russell Impagliazzo, Daniel Kane, Rex Lei, Jessica Sorrell, Christos Tzamos
COLT 2021

Simpler Statistically Sender Private Oblivious Transfer from Ideals of Cyclotomic Integers

Daniele Micciancio, Jessica Sorrell
Asiacrypt 2020

Efficient, Noise-Tolerant, and Private Learning via Boosting

Mark Bun, Marco Leandro Carmosino, Jessica Sorrell
COLT 2020

The Fiat-Shamir Zoo: Relating the Security of Different Signature Variants

Matilda Backendal, Mihir Bellare, Jessica Sorrell, Jiahao Sun
NordSec 2018

Ring Packing and Amortized FHEW Bootstrapping

Daniele Micciancio, Jessica Sorrell
ICALP 2018

Students

  • Anh Do
  • Rupkatha Hira (co-advised with Raman Arora)
  • Moshe Noivirt
  • Omobolade Odedoyin (co-advised with Joshua Vogelstein)
  • Interests

    In my free time, I enjoy aerial silks and attempting to walk my cat.

    silks adventure-cat