Kim Laine
Kim Laine
Principal Researcher, Microsoft
Verified email at microsoft.com
Title
Cited by
Cited by
Year
Cryptonets: Applying neural networks to encrypted data with high throughput and accuracy
R Gilad-Bachrach, N Dowlin, K Laine, K Lauter, M Naehrig, J Wernsing
International conference on machine learning, 201-210, 2016
10192016
Fast private set intersection from homomorphic encryption
H Chen, K Laine, P Rindal
Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications†…, 2017
1512017
Simple encrypted arithmetic library-SEAL v2. 1
H Chen, K Laine, R Player
International Conference on Financial Cryptography and Data Security, 3-18, 2017
1442017
{XONN}: Xnor-based oblivious deep neural network inference
MS Riazi, M Samragh, H Chen, K Laine, K Lauter, F Koushanfar
28th {USENIX} Security Symposium ({USENIX} Security 19), 1501-1518, 2019
1272019
Homomorphic encryption security standard
M Albrecht, M Chase, H Chen, J Ding, S Goldwasser, S Gorbunov, ...
Toronto, ON, Canada, 2018
1132018
PIR with compressed queries and amortized query processing
S Angel, H Chen, K Laine, S Setty
2018 IEEE symposium on security and privacy (SP), 962-979, 2018
962018
Manual for using homomorphic encryption for bioinformatics
N Dowlin, R Gilad-Bachrach, K Laine, K Lauter, M Naehrig, J Wernsing
Proceedings of the IEEE 105 (3), 552-567, 2017
952017
CHET: an optimizing compiler for fully-homomorphic neural-network inferencing
R Dathathri, O Saarikivi, H Chen, K Laine, K Lauter, S Maleki, ...
Proceedings of the 40th ACM SIGPLAN Conference on Programming Language†…, 2019
632019
Logistic regression over encrypted data from fully homomorphic encryption
H Chen, R Gilad-Bachrach, K Han, Z Huang, A Jalali, K Laine, K Lauter
BMC medical genomics 11 (4), 3-12, 2018
622018
Simple encrypted arithmetic library-seal (v2. 0)
K Laine, R Player
Technical report, Technical report, 2016
622016
Private collaborative neural network learning
M Chase, R Gilad-Bachrach, K Laine, K Lauter, P Rindal
Cryptology ePrint Archive, 2017
572017
Manual for using homomorphic encryption for bioinformatics
N Dowlin, R Gilad-Bachrach, K Laine, K Lauter, M Naehrig, J Wernsing
552015
Heax: An architecture for computing on encrypted data
MS Riazi, K Laine, B Pelton, W Dai
Proceedings of the Twenty-Fifth International Conference on Architectural†…, 2020
502020
Labeled PSI from fully homomorphic encryption with malicious security
H Chen, Z Huang, K Laine, P Rindal
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications†…, 2018
492018
Homomorphic encryption standard
M Albrecht, M Chase, H Chen, J Ding, S Goldwasser, S Gorbunov, ...
Cryptology ePrint Archive, 2019
292019
Private queries on encrypted genomic data
GS «etin, H Chen, K Laine, K Lauter, P Rindal, Y Xia
BMC medical genomics 10 (2), 1-14, 2017
292017
High-precision arithmetic in homomorphic encryption
H Chen, K Laine, R Player, Y Xia
Cryptographers’ Track at the RSA Conference, 116-136, 2018
282018
Key recovery for LWE in polynomial time
K Laine, K Lauter
282015
Secure data exchange: A marketplace in the cloud
R Gilad-Bachrach, K Laine, K Lauter, P Rindal, M Rosulek
Proceedings of the 2019 ACM SIGSAC Conference on Cloud Computing Security†…, 2019
232019
Simple encrypted arithmetic library 2.3. 1
K Laine
Microsoft Research https://www. microsoft. com/en-us/research/uploads/prod†…, 2017
222017
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