Marie-Sarah LacharitÚ
Marie-Sarah LacharitÚ
Verified email at rhul.ac.uk
Title
Cited by
Cited by
Year
Improved reconstruction attacks on encrypted data using range query leakage
MS LacharitÚ, B Minaud, KG Paterson
2018 IEEE Symposium on Security and Privacy (SP), 297-314, 2018
712018
Pump up the volume: Practical database reconstruction from volume leakage on range queries
P Grubbs, MS LacharitÚ, B Minaud, KG Paterson
Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communicationsá…, 2018
382018
Learning to reconstruct: Statistical learning theory and encrypted database attacks
P Grubbs, MS LacharitÚ, B Minaud, KG Paterson
2019 IEEE Symposium on Security and Privacy (SP), 1067-1083, 2019
342019
A note on the optimality of frequency analysis vs. lp-optimization
MS LacharitÚ, KG Paterson
IACR Cryptology ePrint Archive, 2015
102015
Frequency-smoothing encryption: preventing snapshot attacks on deterministically encrypted data
MS LacharitÚ, KG Paterson
IACR Transactions on Symmetric Cryptology, 277-313, 2018
92018
Security of BLS and BGLS signatures in a multi-user setting
MS LacharitÚ
Cryptography and Communications 10 (1), 41-58, 2018
72018
Pancake: Frequency smoothing for encrypted data stores
P Grubbs, A Khandelwal, MS LacharitÚ, L Brown, L Li, R Agarwal, ...
29th {USENIX} Security Symposium ({USENIX} Security 20), 2451-2468, 2020
22020
Breaking Encrypted Databases: Generic Attacks on Range Queries
MS LacharitÚ
2019
Revisiting the security model for aggregate signature schemes
MS LacharitÚ
University of Waterloo, 2014
2014
Learning to Reconstruct
P Grubbs, MS LacharitÚ, B Minaud, K Paterson
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Articles 1–10