privacy-security
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- SDMetrics Public Forked from sdv-dev/SDMetrics
Metrics to evaluate quality and efficacy of synthetic datasets.
privacy-security/SDMetrics’s past year of commit activity - secretflow Public Forked from secretflow/secretflow
A unified framework for privacy-preserving data analysis and machine learning
privacy-security/secretflow’s past year of commit activity - federated-learning-lib Public Forked from IBM/federated-learning-lib
A library for federated learning (a distributed machine learning process) in an enterprise environment.
privacy-security/federated-learning-lib’s past year of commit activity - ml_privacy_meter Public Forked from privacytrustlab/ml_privacy_meter
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
privacy-security/ml_privacy_meter’s past year of commit activity - concrete-ml Public Forked from zama-ai/concrete-ml
Concrete-ML: A library to turn machine learning models into their homomorphic equivalent.
privacy-security/concrete-ml’s past year of commit activity - awesome-ml-privacy-attacks Public Forked from stratosphereips/awesome-ml-privacy-attacks
An awesome list of papers on privacy attacks against machine learning
privacy-security/awesome-ml-privacy-attacks’s past year of commit activity
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