Improved reconstruction attacks on encrypted data using range query leakage MS Lacharité, B Minaud, KG Paterson
2018 IEEE Symposium on Security and Privacy (SP), 297-314, 2018
206 2018 Pump up the volume: Practical database reconstruction from volume leakage on range queries P Grubbs, MS Lacharité, B Minaud, KG Paterson
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
162 2018 Learning to reconstruct: Statistical learning theory and encrypted database attacks P Grubbs, MS Lacharité, B Minaud, KG Paterson
2019 IEEE Symposium on Security and Privacy (SP), 1067-1083, 2019
138 2019 Pancake: Frequency smoothing for encrypted data stores P Grubbs, A Khandelwal, MS Lacharité, L Brown, L Li, R Agarwal, ...
29th USENIX Security Symposium (USENIX Security 20), 2451-2468, 2020
67 2020 Frequency-smoothing encryption: preventing snapshot attacks on deterministically encrypted data MS Lacharité, KG Paterson
Cryptology ePrint Archive, 2017
24 2017 A note on the optimality of frequency analysis vs. -optimization MS Lacharité, KG Paterson
Cryptology ePrint Archive, 2015
17 2015 Security of BLS and BGLS signatures in a multi-user setting MS Lacharité
Cryptography and Communications 10 (1), 41-58, 2018
16 2018 Breaking encrypted databases: Generic attacks on range queries MS Lacharité
Technical report, Black Hat USA, 2019. http://i. blackhat. com/USA-19 …, 2019
1 2019 Building and breaking encrypted search schemes for ordered data MS Lacharité
Royal Holloway, University of London, 2020
2020 Pump up the Volume P Grubbs, MS Lacharite, B Minaud, KG Paterson
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications …, 2018
2018 Revisiting the security model for aggregate signature schemes MS Lacharité
University of Waterloo, 2014
2014 Learning to Reconstruct P Grubbs, MS Lacharité, B Minaud, K Paterson