ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

1 code implementation • 4 Feb 2021 • Yugeng Liu, Rui Wen, Xinlei He, Ahmed Salem, Zhikun Zhang, Michael Backes, Emiliano De Cristofaro, Mario Fritz, Yang Zhang

As a result, we lack a comprehensive picture of the risks caused by the attacks, e. g., the different scenarios they can be applied to, the common factors that influence their performance, the relationship among them, or the effectiveness of possible defenses.

BIG-bench Machine Learning Inference Attack +2