Jessica Sorrell

PhD student
Computer Science & Engineering Department
University of California - San Diego
jlsorrel@eng.ucsd.edu

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

[TPDP]

Boosting in the Presence of Massart Noise

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

COLT 2021

[arXiv]

Simpler Statistically Sender Private Oblivious Transfer from Ideals of Cyclotomic Integers

Daniele Micciancio, Jessica Sorrell

Asiacrypt 2020

[eprint]

Efficient, Noise-Tolerant, and Private Learning via Boosting

Mark Bun, Marco Leandro Carmosino, Jessica Sorrell

COLT 2020

[arXiv]

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

Matilda Backendal, Mihir Bellare, Jessica Sorrell, Jiahao Sun

NordSec 2018

[eprint]

Ring Packing and Amortized FHEW Bootstrapping

Daniele Micciancio, Jessica Sorrell

ICALP 2018

[eprint]

Interests

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