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| author | Yuchen Pei <me@ypei.me> | 2019-03-24 22:35:31 +0100 |
|---|---|---|
| committer | Yuchen Pei <me@ypei.me> | 2019-03-24 22:35:31 +0100 |
| commit | 60e44f2e4e3496328e8f1451d938f145be5b6b07 (patch) | |
| tree | 3b826a609ebf49811a4c0a2b73b3b756072a887d /posts | |
| parent | 186cea4d27e5af93507e1df908e63ad0d467c6b3 (diff) | |
forgot to thank amir
Diffstat (limited to 'posts')
| -rw-r--r-- | posts/2019-03-13-a-tail-of-two-densities.md | 3 |
1 files changed, 2 insertions, 1 deletions
diff --git a/posts/2019-03-13-a-tail-of-two-densities.md b/posts/2019-03-13-a-tail-of-two-densities.md index 4aa2b56..154ff4f 100644 --- a/posts/2019-03-13-a-tail-of-two-densities.md +++ b/posts/2019-03-13-a-tail-of-two-densities.md @@ -55,7 +55,8 @@ I also compare these privacy guarantees. **Acknowledgement**. I would like to thank [Stockholm AI](http://stockholm.ai) for introducing me to the subject -of differential privacy. Thanks to (in chronological order) Reynaldo +of differential privacy. Thanks to Amir Hossein Rahnama for hosting the discussions. +Thanks to (in chronological order) Reynaldo Boulogne, Martin Abedi, Ilya Mironov, Kurt Johansson, Mark Bun, Salil Vadhan, Jonathan Ullman, Yuanyuan Xu and Yiting Li for communication and discussions. Also thanks to the [r/MachineLearning](https://www.reddit.com/r/MachineLearning/) |