From fcb069457c42856404f5df716526b37a6eabe2e4 Mon Sep 17 00:00:00 2001 From: Mingbo Li Date: Tue, 12 Dec 2023 17:51:46 +0800 Subject: [PATCH] docs: add two high-cited survey on ppml (#1013) --- .../awesome-pets/papers/applications/ppml/ppml_crypto.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/docs/awesome-pets/papers/applications/ppml/ppml_crypto.md b/docs/awesome-pets/papers/applications/ppml/ppml_crypto.md index f349fc9df..a715e4f6c 100644 --- a/docs/awesome-pets/papers/applications/ppml/ppml_crypto.md +++ b/docs/awesome-pets/papers/applications/ppml/ppml_crypto.md @@ -89,6 +89,15 @@ An overview of existing works is illustrated in the table below. *HAN Wei-Li SONG Lu-shan RUAN Wen-qiang LIN Guo-peng WANG Zhe-xuan* Chinese Journal of Computers, [eprint in Chinese](http://cjc.ict.ac.cn/online/onlinepaper/hwl-202375100742.pdf) +- When Machine Learning Meets Privacy: A Survey and Outlook. + *Bo Liu, Ming Ding, Sina Shaham, Wenny Rahayu, Farhad Farokhi, and Zihuai Lin* + ACM Computing Surveys (CSUR), [eprint](https://arxiv.org/pdf/2011.11819.pdf) + + +- Privacy-preserving machine learning: Methods, challenges and directions. + *Xu R, Baracaldo N, Joshi J* + arXiv preprint arXiv, [eprint](https://arxiv.org/pdf/2108.04417.pdf) + ## Two-party Computation (2PC) ### Secure Inference