Search Results for author: Dmitrii Kuvaiskii

Found 2 papers, 1 papers with code

Privacy-Preserving Machine Learning in Untrusted Clouds Made Simple

no code implementations9 Sep 2020 Dayeol Lee, Dmitrii Kuvaiskii, Anjo Vahldiek-Oberwagner, Mona Vij

We present a practical framework to deploy privacy-preserving machine learning (PPML) applications in untrusted clouds based on a trusted execution environment (TEE).

BIG-bench Machine Learning Privacy Preserving

Intel MPX Explained: An Empirical Study of Intel MPX and Software-based Bounds Checking Approaches

2 code implementations2 Feb 2017 Oleksii Oleksenko, Dmitrii Kuvaiskii, Pramod Bhatotia, Pascal Felber, Christof Fetzer

Memory-safety violations are a prevalent cause of both reliability and security vulnerabilities in systems software written in unsafe languages like C/C++.

Cryptography and Security

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