Add new MI paper

README.md

@@ -28,7 +28,7 @@ This repository contains a curated list of papers related to privacy attacks aga
 - [**Evaluating differentially private machine learning in practice**](https://www.usenix.org/system/files/sec19-jayaraman.pdf) (Jayaraman and Evans, 2019) ([code](https://github.com/bargavj/EvaluatingDPML)) 
 - [**Ml-leaks: Model and data independent membership inference attacks and defenses on machine learning models**](https://www.ndss-symposium.org/wp-content/uploads/2019/02/ndss2019_03A-1_Salem_paper.pdf) (Salem et al., 2019) ([code](https://github.com/AhmedSalem2/ML-Leaks))
 - [**Privacy risks of securing machine learning models against adversarial examples**](https://dl.acm.org/doi/pdf/10.1145/3319535.3354211) (Song L. et al., 2019) ([code](https://github.com/inspire-group/privacy-vs-robustness))
-- [**White-box vs Black-box: Bayes Optimal Strategies for Membership Inference**](http://proceedings.mlr.press/v97/sablayrolles19a.html) (Sablayrolles etal., 2019)
+- [**White-box vs Black-box: Bayes Optimal Strategies for Membership Inference**](http://proceedings.mlr.press/v97/sablayrolles19a.html) (Sablayrolles et al., 2019)
 - [**Privacy risks of explaining machine learning models**](https://arxiv.org/abs/1907.00164) (Shokri et al., 2019)
 - [**Demystifying membership inference attacks in machine learning as a service**](https://ieeexplore.ieee.org/abstract/document/8634878) (Truex et al., 2019)
 - [**Monte carlo and reconstruction membership inference attacks against generative models**](https://content.sciendo.com/view/journals/popets/2019/4/article-p232.xml) (Hilprecht et al., 2019)
@@ -42,6 +42,7 @@ This repository contains a curated list of papers related to privacy attacks aga
 - [**Systematic Evaluation of Privacy Risks of Machine Learning Models**](https://arxiv.org/abs/2003.10595) (Song and Mittal, 2020) ([code](https://github.com/inspire-group/membership-inference-evaluation))
 - [**Towards the Infeasibility of Membership Inference on Deep Models**](https://arxiv.org/pdf/2005.13702.pdf) (Rezaei and Liu, 2020) ([code](https://github.com/shrezaei/MI-Attack))
 - [**Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference**](https://arxiv.org/abs/1906.11798) (Leino and Fredrikson, 2020) 
+- [**Label-Only Membership Inference Attacks**](https://arxiv.org/abs/2007.14321) (Choquette Choo et al., 2020) 
 
 ## Reconstruction
 Reconstruction attacks cover also attacks known as *model inversion* and *attribute inference*.