| Oblivious neural network predictions via minionn transformations J Liu, M Juuti, Y Lu, N Asokan Proceedings of the 2017 ACM SIGSAC conference on computer and communications …, 2017 | 849 | 2017 |
| Secure deduplication of encrypted data without additional independent servers J Liu, N Asokan, B Pinkas Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications …, 2015 | 291 | 2015 |
| Scalable byzantine consensus via hardware-assisted secret sharing J Liu, W Li, GO Karame, N Asokan IEEE Transactions on Computers 68 (1), 139-151, 2018 | 249 | 2018 |
| Private set intersection for unequal set sizes with mobile applications Į Kiss, J Liu, T Schneider, N Asokan, B Pinkas Privacy Enhancing Technologies Symposium, 177-197, 2017 | 146 | 2017 |
| Toward fairness of cryptocurrency payments J Liu, W Li, GO Karame, N Asokan IEEE Security & Privacy 16 (3), 81-89, 2018 | 102 | 2018 |
| Free-riders in federated learning: Attacks and defenses J Lin, M Du, J Liu arXiv preprint arXiv:1911.12560, 2019 | 96 | 2019 |
| Impossibility of full decentralization in permissionless blockchains Y Kwon, J Liu, M Kim, D Song, Y Kim Proceedings of the 1st ACM Conference on Advances in Financial Technologies …, 2019 | 93 | 2019 |
| : Private Federated Learning for GBDT Z Tian, R Zhang, X Hou, L Lyu, T Zhang, J Liu, K Ren IEEE Transactions on Dependable and Secure Computing, 2023 | 74 | 2023 |
| SoK: Modular and efficient private decision tree evaluation Į Kiss, M Naderpour, J Liu, T Schneider, N Asokan Proceedings on Privacy Enhancing Technologies 2, 2019 | 74 | 2019 |
| The circle game: Scalable private membership test using trusted hardware S Tamrakar, J Liu, A Paverd, JE Ekberg, B Pinkas, N Asokan Proceedings of the 2017 ACM on Asia Conference on Computer and …, 2017 | 68 | 2017 |
| Learn to forget: Machine unlearning via neuron masking Z Ma, Y Liu, X Liu, J Liu, J Ma, K Ren IEEE Transactions on Dependable and Secure Computing 20 (4), 3194-3207, 2022 | 47 | 2022 |
| Method and system for byzantine fault-tolerance replicating of data on a plurality of servers G Karame, W Li, J Liu, N Asokan, A Paverd US Patent 10,049,017, 2018 | 38 | 2018 |
| Ciphergpt: Secure two-party gpt inference X Hou, J Liu, J Li, Y Li, W Lu, C Hong, K Ren Cryptology ePrint Archive, 2023 | 33 | 2023 |
| Parallel and asynchronous smart contract execution J Liu, P Li, R Cheng, N Asokan, D Song IEEE Transactions on Parallel and Distributed Systems 33 (5), 1097-1108, 2021 | 29 | 2021 |
| “adversarial examples” for proof-of-learning R Zhang, J Liu, Y Ding, Z Wang, Q Wu, K Ren 2022 IEEE Symposium on Security and Privacy (SP), 1408-1422, 2022 | 27 | 2022 |
| Secure deduplication of encrypted data: Refined model and new constructions J Liu, L Duan, Y Li, N Asokan Cryptographers’ Track at the RSA Conference, 374-393, 2018 | 27 | 2018 |
| Method and system for byzantine fault-tolerance replicating of data on a plurality of servers G Karame, W Li, J Liu, N Asokan, A Paverd US Patent 10,664,353, 2020 | 24 | 2020 |
| Private membership test for bloom filters T Meskanen, J Liu, S Ramezanian, V Niemi 2015 IEEE Trustcom/BigDataSE/ISPA 1, 515-522, 2015 | 18 | 2015 |
| Making speculative BFT resilient with trusted monotonic counters LJ Gunn, J Liu, B Vavala, N Asokan 2019 38th Symposium on Reliable Distributed Systems (SRDS), 133-13309, 2019 | 13 | 2019 |
| Private data valuation and fair payment in data marketplaces Z Tian, J Liu, J Li, X Cao, R Jia, J Kong, M Liu, K Ren arXiv preprint arXiv:2210.08723, 2022 | 11 | 2022 |
N. AsokanProfessor of Computer Science, University of WaterlooVerified email at uwaterloo.ca
