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Kim Laine
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Planting and Mitigating Memorized Content in Predictive-Text Language Models


Dec 16, 2022
C. M. Downey, Wei Dai, Huseyin A. Inan, Kim Laine, Saurabh Naik, Tomasz Religa

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Trustworthy AI Inference Systems: An Industry Research View


Aug 10, 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, Sadegh Riazi, Farinaz Koushanfar, Saransh Gupta, Tajan Simunic Rosing, Kamalika Chaudhuri, Hamid Nejatollahi, Nikil Dutt, Mohsen Imani, Kim Laine, Anuj Dubey, Aydin Aysu, Fateme Sadat Hosseini, Chengmo Yang, Eric Wallace, Pamela Norton

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EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation


Dec 27, 2019
Roshan Dathathri, Blagovesta Kostova, Olli Saarikivi, Wei Dai, Kim Laine, Madanlal Musuvathi

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* Submitted to PLDI2020 
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HEAX: High-Performance Architecture for Computation on Homomorphically Encrypted Data in the Cloud


Sep 20, 2019
M. Sadegh Riazi, Kim Laine, Blake Pelton, Wei Dai

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PrivFT: Private and Fast Text Classification with Homomorphic Encryption


Aug 19, 2019
Ahmad Al Badawi, Luong Hoang, Chan Fook Mun, Kim Laine, Khin Mi Mi Aung

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* 10 pages and 2 figures 
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CHET: Compiler and Runtime for Homomorphic Evaluation of Tensor Programs


Oct 01, 2018
Roshan Dathathri, Olli Saarikivi, Hao Chen, Kim Laine, Kristin Lauter, Saeed Maleki, Madanlal Musuvathi, Todd Mytkowicz

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* Submitted to ASPLOS2019 
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