diff --git a/assets/projects/courses/neural_nets_course_2021/NNDL_privacy_project_final.pdf b/assets/projects/courses/neural_nets_course_2021/NNDL_privacy_project_final.pdf deleted file mode 100644 index e826442..0000000 Binary files a/assets/projects/courses/neural_nets_course_2021/NNDL_privacy_project_final.pdf and /dev/null differ diff --git a/professional.md b/professional.md index 989131b..f5a23fd 100644 --- a/professional.md +++ b/professional.md @@ -19,7 +19,7 @@ permalink: /professional/ * A. Tamaskar, **R. Rinberg**, S. Chakraborty, B. Mishra: ["Creolizing the Web"](https://arxiv.org/abs/2102.12382). 2021. ## Projects and Preprints -* Pre-Print: [Improvements and Analysis of Private Ensemble-Based Federated Learning]({{site.url}}/assets/projects/courses/neural_nets_course_2021/NNDL_privacy_project_final.pdf) +* Pre-Print: Improvements and Analysis of Private Ensemble-Based Federated Learning (available upon request) * [Privacy When Everyone is Watching : Privacy on the Blockchain in the Presence of KYC laws]({{site.url}}/assets/projects/courses/privacy_policy_2021/privacy_policy_final.pdf) * [Multi-party Computation (MPC) and Trustless Wage Sharing explainer ]({{site.url}}/assets/projects/courses/privacy_policy_2021/privacy_policy_hw3.pdf) diff --git a/projects.md b/projects.md index 87b0cfa..b2c62d1 100644 --- a/projects.md +++ b/projects.md @@ -21,8 +21,8 @@ permalink: /Projects/ * A medium-depth dive into zk-SNARKs and into privacy coins. ### [Neural Networks Course](https://www.cs.columbia.edu/~zemel/Class/Nndl/) -* [Final Project]({{site.url}}/assets/projects/courses/neural_nets_course_2021/NNDL_privacy_project_final.pdf) - Improvements and Analysis of Private Ensemble-Based Federated Learning. - * An analysis of ensemble-based federated learning like [PATE](http://www.cleverhans.io/privacy/2018/04/29/privacy-and-machine-learning.html) and [CaPC](http://www.cleverhans.io/2021/05/01/capc.html). I studied the use of reputation-based weighting for improved robustness, and conducted a security analysis of the trust assumptions in ensemble-based federated learning. +* Final Project - Improvements and Analysis of Private Ensemble-Based Federated Learning. (available upon requests) + * An analysis of ensemble-based federated learning like [PATE](http://www.cleverhans.io/privacy/2018/04/29/privacy-and-machine-learning.html) and [CaPC](http://www.cleverhans.io/2021/05/01/capc.html). I studied the use of reputation-based weighting for improved robustness, and conducted a security analysis of the trust assumptions in ensemble-based federated learning. ### Policy for Privacy Technology * Course by Professor Rachel Cummings