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Email

oohrimenko@unimelb.edu.au

Credentials


Position
Professor
School of Computing and Information Systems
Education
Graduate Certificate
University of Melbourne
PhD
Brown University
Masters (Coursework & Research)
Brown University
Bachelors Degree (Honours)
University of Melbourne
ORCID

0000-0002-9735-0538

Prof Olya Ohrimenko

Professor
School of Computing and Information Systems

59 Scholarly works
8 Projects

HIGHLIGHTS

  • 2026

    Research grants (ARC, NHMRC, MRFF)

    ARC Training Centre for Transformative Health Sensing Technologies
  • 2025

    Journal article

    RS-Reg: Probabilistic and Robust Certified Regression through Randomized Smoothing
  • 2025

    Conference Proceedings

    Combining Classical and Probabilistic Independence Reasoning to Verify the Security of Oblivious Algorithms
    DOI: 10.1007/978-3-031-71162-6_10
  • 2025

    Reference Work

    Melbourne Shuffle, The
    DOI: 10.1007/978-3-030-71522-9_1791
  • 2022

    Research Grant

    Combining Differential Privacy and Federated Learning to Protect Against Privacy Leaks in Deep Learning NLP
  • 2022

    Conference Proceedings

    Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems
    DOI: 10.1109/SP46214.2022.9833672
  • 2021

    Research Grant

    AUSMURI Cohesive and Robust Human-Bot Cybersecurity Teams
Olya Ohrimenko

RECENT SCHOLARLY WORKS

  • 2025

    Book Chapter

    Data Privacy in Enterprise AI
    DOI: 10.1007/978-3-032-01940-0_5
  • 2025

    Conference Proceedings

    Verifiable and Provably Secure Machine Unlearning
    DOI: 10.1109/SaTML64287.2025.00033
  • 2024

    Conference Proceedings

    Elephants Do Not Forget: Differential Privacy with State Continuity for Privacy Budget
    DOI: 10.1145/3658644.3670281
  • 2024

    Conference Proceedings

    Getting a-Round Guarantees: Floating-Point Attacks on Certified Robustness
    DOI: 10.1145/3689932.3694761
  • 2024

    Conference Proceedings

    Single Round-trip Hierarchical ORAM via Succinct Indices
    DOI: 10.1145/3634737.3656290
  • 2024

    Journal article

    Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment
    DOI: 10.1162/99608f92.d3197524
  • 2024

    Conference Proceedings

    Certified Adversarial Robustness via Randomized α-Smoothing for Regression Models
    DOI: 10.52202/079017-4263

RECENT PROJECTS

  • 2026

    Research grants (other domestic)

    Secure Flow of Confidential and Classified Data in AI Systems

Acknowledgement of Country

We acknowledge Aboriginal and Torres Strait Islander people as the Traditional Owners of the unceded lands on which we work, learn and live. We pay respect to Elders past, present and future, and acknowledge the importance of Indigenous knowledge in the Academy.

Read about our Indigenous priorities

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