Olya Ohrimenko

Analyzing Information Leakage of Updates to Natural Language Models

S Zanella-Béguelin, L Wutschitz, S Tople, V Rühle, A Paverd, Olga Ohrimenko, B Köpf, M Brockschmidt

Conference Proceedings  |  2020  |  Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications Security

To continuously improve quality and reflect changes in data, machine learning applications have to regularly retrain and update th..

PPML'19: Privacy preserving machine learning

B Balle, M Raykova, A Gascón, P Schoppmmann, O Ohrimenko, C Troncoso

Conference Proceedings  |  2019  |  CCS

Oblivious sampling algorithms for private data analysis

S Sasy, O Ohrimenko

Conference Proceedings  |  2019  |  NeurIPS

An algorithmic framework for differentially private data analysis on trusted processors

J Allen, B Ding, J Kulkarni, H Nori, O Ohrimenko, S Yekhanin

Conference Proceedings  |  2019  |  NeurIPS

Verifying the consistency of remote untrusted services with conflict-free operations

C Cachin, O Ohrimenko

Journal article  |  2018  |  Inf. Comput.

Contamination attacks and mitigation in multi-party machine learning

J Hayes, O Ohrimenko

Conference Proceedings  |  2018  |  NeurIPS

Structured encryption and leakage suppression

S Kamara, T Moataz, O Ohrimenko

Conference Proceedings  |  2018  |  CRYPTO (1)

Forward and backward private searchable encryption from constrained cryptographic primitives

R Bost, B Minaud, O Ohrimenko

Conference Proceedings  |  2017  |  ACM Conference on Computer and Communications Security

Strong and efficient cache side-channel protection using hardware transactional memory

D Gruss, J Lettner, F Schuster, O Ohrimenko, I Haller, M Costa

Conference Proceedings  |  2017  |  Proceedings of the 26th USENIX Security Symposium

Hash first, argue later: Adaptive verifiable computations on outsourced data

D Fiore, C Fournet, E Ghosh, M Kohlweiss, O Ohrimenko, B Parno

Conference Proceedings  |  2016  |  ACM Conference on Computer and Communications Security