Jessica Sorrell

PhD student
Computer Science & Engineering Department
University of California - San Diego

I'm a 6th year student advised by Daniele Micciancio and Russell Impagliazzo, studying learning theory, lattice-based cryptography, and differential privacy. I'm broadly interested in reliable machine learning and data analysis, as well as privacy-preserving computation.

Publications and Manuscripts

Securing Approximate Homomorphic Encryption Using Differential Privacy

Baiyu Li, Daniele Micciancio, Mark Schultz, Jessica Sorrell
In submission, Eurocrypt 2022

Reproducibility in Learning

Russell Impagliazzo, Rex Lei, Jessica Sorrell
TPDP 2021

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


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

silks adventure-cat