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1. backdoor_federated_learning backdoor_federated_learning Public

   Source code for paper "How to Backdoor Federated Learning" (https://arxiv.org/abs/1807.00459)

   Python 279 65

2. differential-privacy-vs-fairness differential-privacy-vs-fairness Public

   Code for "Differential Privacy Has Disparate Impact on Model Accuracy" NeurIPS'19

   Python 34 13

3. ancile-project/ancile ancile-project/ancile Public

   Implementing use-based privacy for ubiquitous computing.

   Python 17 7

4. federated_adaptation federated_adaptation Public

   Salvaging Federated Learning by Local Adaptation

   Python 56 15

5. backdoors101 backdoors101 Public

   Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

   Python 341 82

6. propaganda_as_a_service propaganda_as_a_service Public

   Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"

   Python 21 1