Marie-Sarah Lacharité
Marie-Sarah Lacharité
Bestätigte E-Mail-Adresse bei rhul.ac.uk
Titel
Zitiert von
Zitiert von
Jahr
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
542018
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
282018
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
242019
A note on the optimality of frequency analysis vs. lp-optimization
MS Lacharité, KG Paterson
IACR Cryptology ePrint Archive, 2015
102015
Frequency-smoothing encryption: preventing snapshot attacks on deterministically encrypted data
MS Lacharité, KG Paterson
IACR Transactions on Symmetric Cryptology, 277-313, 2018
72018
Security of BLS and BGLS signatures in a multi-user setting
MS Lacharité
Cryptography and Communications 10 (1), 41-58, 2018
62018
Breaking Encrypted Databases: Generic Attacks on Range Queries
MS Lacharité
2019
Revisiting the security model for aggregate signature schemes
MS Lacharité
University of Waterloo, 2014
2014
Pancake: Frequency smoothing for encrypted data stores
P Grubbs, A Khandelwal, MS Lacharité, L Brown, L Li, R Agarwal, ...
Technical report, 2020. https://github. com/pancake-security, 0
Learning to Reconstruct
P Grubbs, MS Lacharité, B Minaud, K Paterson
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–10