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1. privacy_auditing_in_FL privacy_auditing_in_FL Public

   Official code for the paper "Efficient Privacy Auditing in Federated Learning", published at the 33rd USENIX Security Symposium (USENIX Security 2024).

   Python 4

2. privacytrustlab/bias_in_FL privacytrustlab/bias_in_FL Public

   This is the code repository for the paper titled "Bias Propagation in Federated Learning" which was accepted to the International Conference on Learning Representations (ICLR) 2023.

   Python 10 2

3. securefederatedai/openfederatedlearning securefederatedai/openfederatedlearning Public

   An Open Framework for Federated Learning.

   Python 814 233

4. context_aware_mia context_aware_mia Public

   Official code for the paper "Context-aware Membership Inference Attacks against Pre-trained Models", accepted at EMNLP 2025

   Python 7

5. watermark_smoothing watermark_smoothing Public

   Official implementation for the paper "Watermark Smoothing Attacks against Language Models" accepted at EMNLP 2025 Findings.

   Python

6. privacytrustlab/ml_privacy_meter privacytrustlab/ml_privacy_meter Public

   Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.

   Jupyter Notebook 682 114