add i-dpsgd

professional.md

@@ -14,11 +14,13 @@ permalink: /professional/
 [Google Scholar Link](https://scholar.google.com/citations?hl=en&user=D_d_d8wAAAAJ)
 
 * [Data Attribution-Guided Machine Unlearning]({{site.url}}/assets/projects/papers/Unlearning_through_Data_Attribution.pdf) 
-    * **R. Rinberg**, K. Georgiev, S. Park, S. Garg, A. Ilyas, S. Neel, A. Madry.  Workshop version accepted to GenLaw. 
+    * **R. Rinberg**, K. Georgiev, S. Park, S. Garg, A. Ilyas, S. Neel, A. Madry. [Workshop version accepted to GenLaw. Pre-print]
 * [Beyond Laplace and Gaussian: Exploring the Generalized Gaussian Mechanism for Private Machine Learning]({{site.url}}/assets/projects/papers/generalized_gaussians__10_24.pdf) 
     * **R. Rinberg**, I. Shumailov, R. Cummings, N. Papernot. [Pre-print]
+* [Have it your way: Individualized Privacy Assignment for DP-SGD](https://arxiv.org/abs/2303.17046)
+    * F. Boenisch, C. Mühl, A. Dziedzic, **R. Rinberg**, N. Papernot. [Accepted to Neurips 2023]
 * [Individualized PATE: Differentially Private Machine Learning with Individual Privacy Guarantees](https://arxiv.org/abs/2202.10517). 
-    * F. Boenisch, C Mühl, **R. Rinberg**, J. Ihrig, A. Dziedzic. Accepted to [PoPETs 2023](https://petsymposium.org/cfp23.php).
+    * F. Boenisch, C Mühl, **R. Rinberg**, J. Ihrig, A. Dziedzic. Accepted to PoPETs 2023.
 * ["Privacy when Everyone is Watching: An SOK on Anonymity on the Blockchain".](https://eprint.iacr.org/2022/985).
     * **R. Rinberg**, N. Agarwal. 2022.
 * [NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation, 2022.](https://arxiv.org/abs/2112.02721)