Stealing Models from the Cloud

Platform as a service is a growing trend in data science where services like fraud analysis and face detection can be provided via APIs. Such services turn the actual model into a black box to the consumer. But can the model be reverse engineered?

[Florian Tramèr](http://floriantramer.com/) shares his work in this episode showing that it can. The paper [Stealing Machine Learning Models via Prediction APIs](https://arxiv.org/abs/1609.02943) is definitely worth your time to read if you enjoy this episode. Related source code can be found in [https://github.com/ftramer/Steal-ML](https://github.com/ftramer/Steal-ML).

Guest

Florian Tramèr