SASA-cloud

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

EC_Schorr

ICWS-23-HSFL

Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International Conference on Web Services (ICWS) 2023

PP-Split

Privacy-Metrics-for-SplitNN. Quantifying privacy risks on split model--based architectures (Split Learning, Vertical Federated Learning, Collaborative Inference).

tensorflow-privacy

Library for training machine learning models with privacy for training data

SASA-cloud/ICWS-23-HSFL

Code of "HSFL: Efficient and Privacy-Preserving Offloading for Split and Federated Learning in IoT Services" published on International Conference on Web Services (ICWS) 2023

SASA-cloud/adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

SASA-cloud/EC_Schorr

SASA-cloud/PP-Split

Privacy-Metrics-for-SplitNN. Quantifying privacy risks on split model--based architectures (Split Learning, Vertical Federated Learning, Collaborative Inference).

SASA-cloud/tensorflow-privacy

Library for training machine learning models with privacy for training data