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 and theory.
If you are interested in pursuing a Ph.D. or a Master's project in any of the areas listed above, please contact me directly.
Contact: oohrimenko @ unimelb dоt edu dоt au
News:
- Organising workshop on Privacy-Preserving Machine Learning at NeurIPS 2020.
- Received Facebook research award on the "Role of applied cryptography in a privacy-focused ecosystem".
- Received Facebook "Probability and Programming research award" with Ben Rubinstein and Toby Murray.
- Our paper on Analyzing Information Leakage of Updates to Natural Language Models with Santiago Zanella-Béguelin, Lukas Wutschitz, Shruti Tople, Victor Rühle, Andrew Paverd, Boris Köpf, and Marc Brockschmidt to appear at CCS 2020.