Key Recovery for LWE in Polynomial Time. - Kim Laine; Kristin E. Lauter (IACR Cryptol. ePrint Arch., 2015)

Time-memory trade-offs for index calculus in genus 3. - Kim Laine; Kristin E. Lauter (J. Math. Cryptol., 2015)

CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy. - Ran Gilad-Bachrach; Nathan Dowlin; Kim Laine; Kristin E. Lauter; Michael Naehrig; John Wernsing (ICML, 2016)

Secure Data Exchange: A Marketplace in the Cloud. - Ran Gilad-Bachrach; Kim Laine; Kristin E. Lauter; Peter Rindal; Mike Rosulek (IACR Cryptol. ePrint Arch., 2016)

PIR with compressed queries and amortized query processing. - Sebastian Angel; Hao Chen 030; Kim Laine; Srinath T. V. Setty (IACR Cryptol. ePrint Arch., 2017)

Private Queries on Encrypted Genomic Data. - Gizem S. Çetin; Hao Chen 030; Kim Laine; Kristin E. Lauter; Peter Rindal; Yuhou Xia (IACR Cryptol. ePrint Arch., 2017)

Private Collaborative Neural Network Learning. - Melissa Chase; Ran Gilad-Bachrach; Kim Laine; Kristin E. Lauter; Peter Rindal (IACR Cryptol. ePrint Arch., 2017)

Simple Encrypted Arithmetic Library - SEAL v2.1. - Hao Chen 030; Kim Laine; Rachel Player (IACR Cryptol. ePrint Arch., 2017)

High-Precision Arithmetic in Homomorphic Encryption. - Hao Chen 030; Kim Laine; Rachel Player; Yuhou Xia (IACR Cryptol. ePrint Arch., 2017)

Fast Private Set Intersection from Homomorphic Encryption. - Hao Chen 030; Kim Laine; Peter Rindal (IACR Cryptol. ePrint Arch., 2017)

Manual for Using Homomorphic Encryption for Bioinformatics. - Nathan Dowlin; Ran Gilad-Bachrach; Kim Laine; Kristin E. Lauter; Michael Naehrig; John Wernsing (Proc. IEEE, 2017)

Building Applications with Homomorphic Encryption. - Roger A. Hallman; Kim Laine; Wei Dai 007; Nicolas Gama; Alex J. Malozemoff; Yuriy Polyakov; Sergiu Carpov (CCS, 2018)

CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs. - Roshan Dathathri; Olli Saarikivi; Hao Chen 030; Kim Laine; Kristin E. Lauter; Saeed Maleki; Madanlal Musuvathi; Todd Mytkowicz (CoRR, 2018)

Logistic regression over encrypted data from fully homomorphic encryption. - Hao Chen 030; Ran Gilad-Bachrach; Kyoohyung Han; Zhicong Huang; Amir Jalali; Kim Laine; Kristin E. Lauter (IACR Cryptol. ePrint Arch., 2018)

Labeled PSI from Fully Homomorphic Encryption with Malicious Security. - Hao Chen 030; Zhicong Huang; Kim Laine; Peter Rindal (IACR Cryptol. ePrint Arch., 2018)

CHET: an optimizing compiler for fully-homomorphic neural-network inferencing. - Roshan Dathathri; Olli Saarikivi; Hao Chen 030; Kim Laine; Kristin E. Lauter; Saeed Maleki; Madanlal Musuvathi; Todd Mytkowicz (PLDI, 2019)

PrivFT: Private and Fast Text Classification with Homomorphic Encryption. - Ahmad Al Badawi; Luong Hoang; Chan Fook Mun; Kim Laine; Khin Mi Mi Aung (CoRR, 2019)

Homomorphic Encryption Standard. - Martin R. Albrecht; Melissa Chase; Hao Chen 030; Jintai Ding; Shafi Goldwasser; Sergey Gorbunov 001; Shai Halevi; Jeffrey Hoffstein; Kim Laine; Kristin E. Lauter; Satya Lokam; Daniele Micciancio; et al. (IACR Cryptol. ePrint Arch., 2019)

Homomorphic noise growth in practice: comparing BGV and FV. - Anamaria Costache; Kim Laine; Rachel Player (IACR Cryptol. ePrint Arch., 2019)

HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud. - M. Sadegh Riazi; Kim Laine; Blake Pelton; Wei Dai 007 (IACR Cryptol. ePrint Arch., 2019)

XONN: XNOR-based Oblivious Deep Neural Network Inference. - M. Sadegh Riazi; Mohammad Samragh; Hao Chen 030; Kim Laine; Kristin E. Lauter; Farinaz Koushanfar (IACR Cryptol. ePrint Arch., 2019)

HEAX: An Architecture for Computing on Encrypted Data. - M. Sadegh Riazi; Kim Laine; Blake Pelton; Wei Dai 007 (ASPLOS, 2020)

Evaluating the Effectiveness of Heuristic Worst-Case Noise Analysis in FHE. - Anamaria Costache; Kim Laine; Rachel Player (ESORICS (2), 2020)

Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption. - Edward J. Chou; Arun Gururajan; Kim Laine; Nitin Kumar Goel; Anna Bertiger; Jack W. Stokes (ICASSP, 2020)

EVA: an encrypted vector arithmetic language and compiler for efficient homomorphic computation. - Roshan Dathathri; Blagovesta Kostova; Olli Saarikivi; Wei Dai 007; Kim Laine; Madan Musuvathi (PLDI, 2020)

PrivFT: Private and Fast Text Classification With Homomorphic Encryption. - Ahmad Al Badawi; Louie Hoang; Chan Fook Mun; Kim Laine; Khin Mi Mi Aung (IEEE Access, 2020)

Trustworthy AI Inference Systems: An Industry Research View. - Rosario Cammarota; Matthias Schunter; Anand Rajan; Fabian Boemer; Ágnes Kiss; Amos Treiber; Christian Weinert; Thomas Schneider 003; Emmanuel Stapf; Ahmad-Reza Sadeghi; Daniel Demmler; Huili Chen; et al. (CoRR, 2020)

When HEAAN Meets FV: a New Somewhat Homomorphic Encryption with Reduced Memory Overhead. - Hao Chen 030; Ilia Iliashenko; Kim Laine (IACR Cryptol. ePrint Arch., 2020)

Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation. - Nitin Agrawal 002; Reuben Binns; Max Van Kleek; Kim Laine; Nigel Shadbolt (CHI, 2021)

Aggregate Measurement via Oblivious Shuffling. - Erik Anderson; Melissa Chase; F. Betül Durak; Esha Ghosh; Kim Laine; Chenkai Weng (IACR Cryptol. ePrint Arch., 2021)

EVA Improved: Compiler and Extension Library for CKKS. - Sangeeta Chowdhary; Wei Dai 007; Kim Laine; Olli Saarikivi (IACR Cryptol. ePrint Arch., 2021)

Labeled PSI from Homomorphic Encryption with Reduced Computation and Communication. - Kelong Cong; Radames Cruz Moreno; Mariana Botelho da Gama; Wei Dai 007; Ilia Iliashenko; Kim Laine; Michael Rosenberg (IACR Cryptol. ePrint Arch., 2021)

Planting and Mitigating Memorized Content in Predictive-Text Language Models. - C. M. Downey; Wei Dai 007; Huseyin A. Inan; Kim Laine; Saurabh Naik; Tomasz Religa (CoRR, 2022)

Acsesor: A New Framework for Auditable Custodial Secret Storage and Recovery. - Melissa Chase; Hannah Davis; Esha Ghosh; Kim Laine (IACR Cryptol. ePrint Arch., 2022)

Understanding People's Concerns and Attitudes Toward Smart Cities. - Pardis Emami Naeini; Joseph Breda; Wei Dai 007; Tadayoshi Kohno; Kim Laine; Shwetak N. Patel; Franziska Roesner (CHI, 2023)

UN Handbook on Privacy-Preserving Computation Techniques. - David W. Archer; Borja de Balle Pigem; Dan Bogdanov; Mark Craddock; Adrià Gascón; Ronald Jansen; Matjaz Jug; Kim Laine; Robert McLellan; Olga Ohrimenko; Mariana Raykova 001; Andrew Trask; et al. (CoRR, 2023)

Does Prompt-Tuning Language Model Ensure Privacy? - Shangyu Xie; Wei Dai 007; Esha Ghosh; Sambuddha Roy; Dan Schwartz; Kim Laine (CoRR, 2023)

Sandi: A System for Accountability and Applications in Direct Communication (Extended Abstract). - F. Betül Durak; Kim Laine; Simon Langowski; Radames Cruz Moreno; Robert Sim; Shrey Jain (CoRR, 2023)

OPTIKS: An Optimized Key Transparency System. - Julia Len; Melissa Chase; Esha Ghosh; Kim Laine; Radames Cruz Moreno (IACR Cryptol. ePrint Arch., 2023)

Precio: Private Aggregate Measurement via Oblivious Shuffling. - Erik Anderson; Melissa Chase; F. Betül Durak; Kim Laine; Chenkai Weng (CCS, 2024)

Sandi: A System for Accountability and Applications in Direct Communication. - F. Betül Durak; Kim Laine; Simon Langowski; Radames Cruz Moreno (CoRR, 2024)

Sandi: A System for Accountability. - F. Betül Durak; Kim Laine; Simon Langowski; Radames Cruz Moreno (EuroS&P, 2025)

Handling Identity and Fraud in the Metaverse. - Rachel McAmis; F. Betül Durak; Melissa Erin Chase; Kim Laine; Franziska Roesner; Tadayoshi Kohno (IEEE Secur. Priv., 2025)

ARMS: A Vision for Actor Reputation Metric Systems in the Open-Source Software Supply Chain. - Kelechi G. Kalu; Sofia Okorafor; F. Betül Durak; Kim Laine; Radames Cruz Moreno; Santiago Torres-Arias; James C. Davis 001 (CoRR, 2025)