We show that it is possible to extract a highly accurate model using only 854 queries with the estimated cost of $0.09 on the Amazon ML platform.

We show that it is possible to extract a highly accurate model using only 854 queries with the estimated cost of $0.09 on the Amazon ML platform, and our attack ...

The authors present model extraction attacks that are able to extract a model (exemplary privacy-preserving dataset) through 854 queries, which take 7 minutes ...

Sadeghi and T. Schneider. 2009. Secure Evaluation of Private Linear Branching Programs with Medical Applications. In ESORICS . Full version: https://ia.cr/2009/ ...

Creating good ML models, however, can be expensive and the used data is often sensitive. Recently, Secure Multi-Party Computation (SMPC) protocols for MLaaS ...

Nov 15, 2019 · An adversary trying to steal the model also will typically have some large dataset of points they want to classify (they just don't want to pay ...

Jun 6, 2023 · There are two main approaches for protecting a Machine Learning model against a model stealing attack: attack detection [8] and attack ...

Apr 25, 2024 · Robert Nikolai Reith, Thomas Schneider , Oleksandr Tkachenko: Efficiently Stealing your Machine Learning Models. WPES@CCS 2019: 198-210.

Efficiently Stealing your Machine Learning Models. Author, Reith, Robert Nikolai; Schneider, Thomas; Tkachenko, Oleksandr. Date, 2019. Type, Conference ...

Sep 30, 2016 · The author explores the topic of reverse engineering Machine Learning algorithms based on a recently published academic paper: Stealing Machine Learning Models ...