Kim Laine

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 53

Top Topics

Set Intersection

Logistic Regression

Homomorphic Encryption

Web Page Classification

Top Venues

IACR Cryptol. ePrint Arch.

Publications

Julia Len, Melissa Chase, Esha Ghosh, Kim Laine, Radames Cruz Moreno
OPTIKS: An Optimized Key Transparency System. USENIX Security Symposium (2024)
F. Betül Durak, Kim Laine, Simon Langowski, Radames Cruz Moreno
Sandi: A System for Accountability and Applications in Direct Communication. CoRR (2024)
F. Betül Durak, Kim Laine, Simon Langowski, Radames Cruz Moreno, Robert Sim, Shrey Jain
Sandi: A System for Accountability and Applications in Direct Communication (Extended Abstract). CoRR (2023)
Julia Len, Melissa Chase, Esha Ghosh, Kim Laine, Radames Cruz Moreno
OPTIKS: An Optimized Key Transparency System. IACR Cryptol. ePrint Arch. 2023 (2023)
Pardis Emami Naeini, Joseph Breda, Wei Dai, Tadayoshi Kohno, Kim Laine, Shwetak N. Patel, Franziska Roesner
Understanding People's Concerns and Attitudes Toward Smart Cities. CHI (2023)
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, Andrew Trask, Simon Wardley
UN Handbook on Privacy-Preserving Computation Techniques. CoRR (2023)
Shangyu Xie, Wei Dai, Esha Ghosh, Sambuddha Roy, Dan Schwartz, Kim Laine
Does Prompt-Tuning Language Model Ensure Privacy? CoRR (2023)
Melissa Chase, Hannah Davis, Esha Ghosh, Kim Laine
Acsesor: A New Framework for Auditable Custodial Secret Storage and Recovery. IACR Cryptol. ePrint Arch. 2022 (2022)
C. M. Downey, Wei Dai, Huseyin A. Inan, Kim Laine, Saurabh Naik, Tomasz Religa
Planting and Mitigating Memorized Content in Predictive-Text Language Models. CoRR (2022)
Kelong Cong, Radames Cruz Moreno, Mariana Botelho da Gama, Wei Dai, Ilia Iliashenko, Kim Laine, Michael Rosenberg
Labeled PSI from Homomorphic Encryption with Reduced Computation and Communication. CCS (2021)
Nitin Agrawal, Reuben Binns, Max Van Kleek, Kim Laine, Nigel Shadbolt
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation. CHI (2021)
Kelong Cong, Radames Cruz Moreno, Mariana Botelho da Gama, Wei Dai, Ilia Iliashenko, Kim Laine, Michael Rosenberg
Labeled PSI from Homomorphic Encryption with Reduced Computation and Communication. IACR Cryptol. ePrint Arch. 2021 (2021)
Hao Chen, Ilia Iliashenko, Kim Laine
When HEAAN Meets FV: A New Somewhat Homomorphic Encryption with Reduced Memory Overhead. IMACC (2021)
Erik Anderson, Melissa Chase, F. Betül Durak, Esha Ghosh, Kim Laine, Chenkai Weng
Aggregate Measurement via Oblivious Shuffling. IACR Cryptol. ePrint Arch. 2021 (2021)
Sangeeta Chowdhary, Wei Dai, Kim Laine, Olli Saarikivi
EVA Improved: Compiler and Extension Library for CKKS. WAHC@CCS (2021)
Nitin Agrawal, Reuben Binns, Max Van Kleek, Kim Laine, Nigel Shadbolt
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation. CoRR (2021)
Sangeeta Chowdhary, Wei Dai, Kim Laine, Olli Saarikivi
EVA Improved: Compiler and Extension Library for CKKS. IACR Cryptol. ePrint Arch. 2021 (2021)
Edward J. Chou, Arun Gururajan, Kim Laine, Nitin Kumar Goel, Anna Bertiger, Jack W. Stokes
Privacy-Preserving Phishing Web Page Classification Via Fully Homomorphic Encryption. ICASSP (2020)
Rosario Cammarota, Matthias Schunter, Anand Rajan, Fabian Boemer, Ágnes Kiss, Amos Treiber, Christian Weinert, Thomas Schneider, Emmanuel Stapf, Ahmad-Reza Sadeghi, Daniel Demmler, Huili Chen, Siam Umar Hussain, M. Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajana Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil D. Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton
Trustworthy AI Inference Systems: An Industry Research View. CoRR (2020)
Ahmad Al Badawi, Louie Hoang, Chan Fook Mun, Kim Laine, Khin Mi Mi Aung
PrivFT: Private and Fast Text Classification With Homomorphic Encryption. IEEE Access 8 (2020)
Hao Chen, Ilia Iliashenko, Kim Laine
When HEAAN Meets FV: a New Somewhat Homomorphic Encryption with Reduced Memory Overhead. IACR Cryptol. ePrint Arch. 2020 (2020)
Anamaria Costache, Kim Laine, Rachel Player
Evaluating the Effectiveness of Heuristic Worst-Case Noise Analysis in FHE. ESORICS (2) (2020)
Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madan Musuvathi
EVA: an encrypted vector arithmetic language and compiler for efficient homomorphic computation. PLDI (2020)
M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai
HEAX: An Architecture for Computing on Encrypted Data. ASPLOS (2020)
M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai
HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud. CoRR (2019)
Martin R. Albrecht, Melissa Chase, Hao Chen, Jintai Ding, Shafi Goldwasser, Sergey Gorbunov, Shai Halevi, Jeffrey Hoffstein, Kim Laine, Kristin E. Lauter, Satya Lokam, Daniele Micciancio, Dustin Moody, Travis Morrison, Amit Sahai, Vinod Vaikuntanathan
Homomorphic Encryption Standard. IACR Cryptol. ePrint Arch. 2019 (2019)
Ahmad Al Badawi, Luong Hoang, Chan Fook Mun, Kim Laine, Khin Mi Mi Aung
PrivFT: Private and Fast Text Classification with Homomorphic Encryption. CoRR (2019)
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
CHET: an optimizing compiler for fully-homomorphic neural-network inferencing. PLDI (2019)
M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai
HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud. IACR Cryptol. ePrint Arch. 2019 (2019)
Anamaria Costache, Kim Laine, Rachel Player
Homomorphic noise growth in practice: comparing BGV and FV. IACR Cryptol. ePrint Arch. 2019 (2019)
M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar
XONN: XNOR-based Oblivious Deep Neural Network Inference. USENIX Security Symposium (2019)
Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madanlal Musuvathi
EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation. CoRR (2019)
M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar
XONN: XNOR-based Oblivious Deep Neural Network Inference. IACR Cryptol. ePrint Arch. 2019 (2019)
Ran Gilad-Bachrach, Kim Laine, Kristin E. Lauter, Peter Rindal, Mike Rosulek
Secure Data Exchange: A Marketplace in the Cloud. CCSW@CCS (2019)
M. Sadegh Riazi, Mohammad Samragh, Hao Chen, Kim Laine, Kristin E. Lauter, Farinaz Koushanfar
XONN: XNOR-based Oblivious Deep Neural Network Inference. CoRR (2019)
Hao Chen, Kim Laine, Rachel Player, Yuhou Xia
High-Precision Arithmetic in Homomorphic Encryption. CT-RSA (2018)
Hao Chen, Zhicong Huang, Kim Laine, Peter Rindal
Labeled PSI from Fully Homomorphic Encryption with Malicious Security. CCS (2018)
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin E. Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz
CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs. CoRR (2018)
Hao Chen, Ran Gilad-Bachrach, Kyoohyung Han, Zhicong Huang, Amir Jalali, Kim Laine, Kristin E. Lauter
Logistic regression over encrypted data from fully homomorphic encryption. IACR Cryptol. ePrint Arch. 2018 (2018)
Hao Chen, Zhicong Huang, Kim Laine, Peter Rindal
Labeled PSI from Fully Homomorphic Encryption with Malicious Security. IACR Cryptol. ePrint Arch. 2018 (2018)
Sebastian Angel, Hao Chen, Kim Laine, Srinath T. V. Setty
PIR with Compressed Queries and Amortized Query Processing. IEEE Symposium on Security and Privacy (2018)
Roger A. Hallman, Kim Laine, Wei Dai, Nicolas Gama, Alex J. Malozemoff, Yuriy Polyakov, Sergiu Carpov
Building Applications with Homomorphic Encryption. CCS (2018)
Hao Chen, Kim Laine, Rachel Player
Simple Encrypted Arithmetic Library - SEAL v2.1. IACR Cryptol. ePrint Arch. 2017 (2017)
Hao Chen, Kim Laine, Rachel Player
Simple Encrypted Arithmetic Library - SEAL v2.1. Financial Cryptography Workshops (2017)
Nathan Dowlin, Ran Gilad-Bachrach, Kim Laine, Kristin E. Lauter, Michael Naehrig, John Wernsing
Manual for Using Homomorphic Encryption for Bioinformatics. Proc. IEEE 105 (3) (2017)
Hao Chen, Kim Laine, Rachel Player, Yuhou Xia
High-Precision Arithmetic in Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2017 (2017)
Sebastian Angel, Hao Chen, Kim Laine, Srinath T. V. Setty
PIR with compressed queries and amortized query processing. IACR Cryptol. ePrint Arch. 2017 (2017)
Gizem S. Çetin, Hao Chen, Kim Laine, Kristin E. Lauter, Peter Rindal, Yuhou Xia
Private Queries on Encrypted Genomic Data. IACR Cryptol. ePrint Arch. 2017 (2017)
Hao Chen, Kim Laine, Peter Rindal
Fast Private Set Intersection from Homomorphic Encryption. CCS (2017)
Melissa Chase, Ran Gilad-Bachrach, Kim Laine, Kristin E. Lauter, Peter Rindal
Private Collaborative Neural Network Learning. IACR Cryptol. ePrint Arch. 2017 (2017)
Hao Chen, Kim Laine, Peter Rindal
Fast Private Set Intersection from Homomorphic Encryption. IACR Cryptol. ePrint Arch. 2017 (2017)
Ran Gilad-Bachrach, Nathan Dowlin, Kim Laine, Kristin E. Lauter, Michael Naehrig, John Wernsing
CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy. ICML (2016)
Ran Gilad-Bachrach, Kim Laine, Kristin E. Lauter, Peter Rindal, Mike Rosulek
Secure Data Exchange: A Marketplace in the Cloud. IACR Cryptol. ePrint Arch. 2016 (2016)
Kim Laine, Kristin E. Lauter
Key Recovery for LWE in Polynomial Time. IACR Cryptol. ePrint Arch. 2015 (2015)
Kim Laine, Kristin E. Lauter
Time-memory trade-offs for index calculus in genus 3. J. Math. Cryptol. 9 (2) (2015)
Kim Laine, Kristin E. Lauter
Time-Memory Trade-offs for Index Calculus in Genus 3. IACR Cryptol. ePrint Arch. 2014 (2014)