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Dr

Olya Ohrimenko

Senior Lecturer
Computing And Information Systems
computer science
computer science, theory & methods
csp
science & technology
technology
computer software
computer science, artificial intelligence
boolean variables
finite domain propagation
Olya Ohrimenko's Profile Picture
Dr

Olya Ohrimenko

 
Division
Engineering
 
Primary Interest
Computer Security & Privacy
Olya Ohrimenko's Profile Picture
Dr

Olya Ohrimenko

 
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Olya's  Short Profile
 

I joined School of Computing and Information Systems as a senior lecturer in early 2020. Prior to joining the University of Melbourne I spent 6 years at Microsoft Research in Cambridge, UK, where I was a principal researcher leading work on Confidential AI and I/O side-channel mitigation.

Between 2014 and 2016, I was the Microsoft Fellow at Darwin College in Cambridge University.

My research interests include privacy, integrity and security of machine learning algorithms, data analysis tools, multi-party computation and systems relying on cloud storage, computation and hardware. The goal is to identify and prevent potential vulnerabilities and to design and build efficient solutions with provable guarantees. I also enjoy working on algorithms, data structures, theory.

For more information see https://people.eng.unimelb.edu.au/oohrimenko

Projects

Displaying the 3 most recent projects by Olya Ohrimenko.

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Data Privacy Assessment

2020 - 2020
Active
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Formalizing and Verifying Fair Data Use in Collaborative Machine Learning

2020 - 2021
Active
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Private Integration of Retailer’s Data Feeds in an Advertising Ecosystem

2020 - 2021
Active

3

Projects

Project Types

2

Research Grant

1

Research Contracts

Scholarly Works

Displaying the 10 most recent scholarly works by Olya Ohrimenko.

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PPML'19: Privacy preserving machine learning

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

Conference Proceedings  |  2019  |  CCS

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Oblivious sampling algorithms for private data analysis

S Sasy, O Ohrimenko

Conference Proceedings  |  2019  |  NeurIPS

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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

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

C Cachin, O Ohrimenko

Journal article  |  2018  |  Inf. Comput.

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Contamination attacks and mitigation in multi-party machine learning

J Hayes, O Ohrimenko

Conference Proceedings  |  2018  |  NeurIPS

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Structured encryption and leakage suppression

S Kamara, T Moataz, O Ohrimenko

Conference Proceedings  |  2018  |  CRYPTO (1)

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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

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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

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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

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Efficient Verifiable Range and Closest Point Queries in Zero-Knowledge

Esha Ghosh, Olga Ohrimenko, Roberto Tamassia

Journal article  |  2016  |  PoPETs

30

Scholarly Works

Keyword Analysis

Computer Software and Services
Computer Software
Artificial Intelligence and Signal and Image Processing

Credentials

Positions

Positions

Senior Lecturer

Computing And Information Systems

Education

Education

PhD

Brown University

Links

Links