Briefly remove estimation and tools

README.md

@@ -85,10 +85,3 @@ Reconstruction attacks cover also attacks known as *model inversion* and *attrib
 - [**Extraction of Complex DNN Models: Real Threat or Boogeyman?**](https://arxiv.org/pdf/1910.05429.pdf) (Atli et al., 2020) 
 - [**Stealing Neural Networks via Timing Side Channels**](https://arxiv.org/pdf/1812.11720.pdf) (Duddu et al., 2019) 
 - [**DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints**](https://dl.acm.org/doi/pdf/10.1145/3373376.3378460) (Hu et al., 2020) 
-
-## Privacy Metrics and Estimations
-- [**Estimating g-Leakage via Machine Learning**](https://arxiv.org/abs/2005.04399) (Romanelli et al., 2020)
-- [**Information-Theoretic Bounds on the Generalization Error and Privacy Leakage in Federated Learning**](https://arxiv.org/abs/2005.02503) (Yagli et al., 2020)
-
-# Tools
-Coming Soon