The Fiat-Shamir Zoo: Relating the Security of Different Signature Variants. - Matilda Backendal; Mihir Bellare; Jessica Sorrell; Jiahao Sun (IACR Cryptol. ePrint Arch., 2018)

Ring packing and amortized FHEW bootstrapping. - Daniele Micciancio; Jessica Sorrell (IACR Cryptol. ePrint Arch., 2018)

Efficient, Noise-Tolerant, and Private Learning via Boosting. - Mark Bun; Marco Leandro Carmosino; Jessica Sorrell (COLT, 2020)

Simpler Statistically Sender Private Oblivious Transfer from Ideals of Cyclotomic Integers. - Daniele Micciancio; Jessica Sorrell (IACR Cryptol. ePrint Arch., 2020)

Boosting in the Presence of Massart Noise. - Ilias Diakonikolas; Russell Impagliazzo; Daniel M. Kane; Rex Lei; Jessica Sorrell; Christos Tzamos (COLT, 2021)

Reproducibility in learning. - Russell Impagliazzo; Rex Lei; Toniann Pitassi; Jessica Sorrell (STOC, 2022)

Securing Approximate Homomorphic Encryption Using Differential Privacy. - Baiyu Li; Daniele Micciancio; Mark Schultz; Jessica Sorrell (IACR Cryptol. ePrint Arch., 2022)

Algorithmic Stability for Responsible Computing - Jessica Sorrell (2022)

Multicalibration as Boosting for Regression. - Ira Globus-Harris; Declan Harrison; Michael Kearns; Aaron Roth 001; Jessica Sorrell (ICML, 2023)

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)

Oracle-Efficient Reinforcement Learning for Max Value Ensembles. - Marcel Hussing; Michael Kearns; Aaron Roth 001; Sikata Bela Sengupta; Jessica Sorrell (NeurIPS, 2024)

The Cost of Replicability in Active Learning. - Rupkatha Hira; Dominik Kau; Jessica Sorrell (CoRR, 2024)

Intersectional Fairness in Reinforcement Learning with Large State and Constraint Spaces. - Eric Eaton; Marcel Hussing; Michael Kearns; Aaron Roth 001; Sikata Bela Sengupta; Jessica Sorrell (CoRR, 2025)

Sensitivity of Stability: Theoretical & Empirical Analysis of Replicability for Adaptive Data Selection in Transfer Learning. - Prabhav Singh; Jessica Sorrell (CoRR, 2025)