| 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 | 2141 | 2016 |
| 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 | 392 | 2017 |
| {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 | 340 | 2019 |
| Homomorphic encryption security standard M Albrecht, M Chase, H Chen, J Ding, S Goldwasser, S Gorbunov, ... Technical report, HomomorphicEncryption. org, Toronto, Canada 6 (8), 13, 2018 | 336 | 2018 |
| 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 | 294 | 2018 |
| Simple encrypted arithmetic library-SEAL v2. 1 H Chen, K Laine, R Player Financial Cryptography and Data Security: FC 2017 International Workshops …, 2017 | 285 | 2017 |
| 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 | 268 | 2019 |
| 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 | 251 | 2020 |
| 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 | 187 | 2018 |
| Homomorphic encryption standard M Albrecht, M Chase, H Chen, J Ding, S Goldwasser, S Gorbunov, ... Protecting privacy through homomorphic encryption, 31-62, 2021 | 185 | 2021 |
| 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, 3-12, 2018 | 177 | 2018 |
| 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 | 150 | 2017 |
| EVA: An encrypted vector arithmetic language and compiler for efficient homomorphic computation R Dathathri, B Kostova, O Saarikivi, W Dai, K Laine, M Musuvathi Proceedings of the 41st ACM SIGPLAN Conference on Programming Language …, 2020 | 143 | 2020 |
| Privft: Private and fast text classification with homomorphic encryption A Al Badawi, L Hoang, CF Mun, K Laine, KMM Aung IEEE Access 8, 226544-226556, 2020 | 105 | 2020 |
| Private collaborative neural network learning M Chase, R Gilad-Bachrach, K Laine, K Lauter, P Rindal Cryptology ePrint Archive, 2017 | 95 | 2017 |
| Labeled PSI from homomorphic encryption with reduced computation and communication K Cong, RC Moreno, MB da Gama, W Dai, I Iliashenko, K Laine, ... Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications …, 2021 | 83 | 2021 |
| Simple encrypted arithmetic library-seal (v2. 0) K Laine, R Player Technical report, 2016 | 73 | 2016 |
| Simple encrypted arithmetic library 2.3. 1 K Laine Microsoft Research https://www. microsoft. com/en-us/research/uploads/prod …, 2017 | 66 | 2017 |
| Manual for using homomorphic encryption for bioinformatics N Dowlin, R Gilad-Bachrach, K Laine, K Lauter, M Naehrig, J Wernsing | 60 | 2015 |
| Private queries on encrypted genomic data GS Çetin, H Chen, K Laine, K Lauter, P Rindal, Y Xia BMC medical genomics 10, 1-14, 2017 | 57 | 2017 |
