DP-SGD

Opacus: User-Friendly Differential Privacy Library in PyTorch

Authors: Ashkan Yousefpour, Igor Shilov, Alexandre Sablayrolles, Davide Testuggine, Karthik Prasad, Mani Malek, John Nguyen, Sayan Ghosh, Akash Bharadwaj, Jessica Zhao, Graham Cormode, Ilya Mironov | Published: 2021-09-25 | Updated: 2022-08-22
DP-SGD
Library Classification
Performance Evaluation
2021.09.25 2025.05.28
Literature Database

Differentially Empirical Risk Minimization under the Fairness Lens

Authors: Cuong Tran, My H. Dinh, Ferdinando Fioretto | Published: 2021-06-04 | Updated: 2022-09-08
DP-SGD
Privacy Protection Method
Risk Management
2021.06.04 2025.05.28
Literature Database

Quantum machine learning with differential privacy

Authors: William M Watkins, Samuel Yen-Chi Chen, Shinjae Yoo | Published: 2021-03-10
DP-SGD
Privacy Risk Management
Quantum Machine Learning
2021.03.10 2025.05.28
Literature Database

Quantifying identifiability to choose and audit $ε$ in differentially private deep learning

Authors: Daniel Bernau, Günther Eibl, Philip W. Grassal, Hannah Keller, Florian Kerschbaum | Published: 2021-03-04 | Updated: 2021-07-20
DP-SGD
Statistical Methods
Computational Efficiency
2021.03.04 2025.05.28
Literature Database

Differentially Private ADMM Algorithms for Machine Learning

Authors: Tao Xu, Fanhua Shang, Yuanyuan Liu, Hongying Liu, Longjie Shen, Maoguo Gong | Published: 2020-10-31
DP-SGD
Machine Learning Technology
evaluation metrics
2020.10.31 2025.05.28
Literature Database

Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization

Authors: Pranav Subramani, Nicholas Vadivelu, Gautam Kamath | Published: 2020-10-18 | Updated: 2021-10-26
DP-SGD
Performance Evaluation
Optimization Methods
2020.10.18 2025.05.28
Literature Database

Chasing Your Long Tails: Differentially Private Prediction in Health Care Settings

Authors: Vinith M. Suriyakumar, Nicolas Papernot, Anna Goldenberg, Marzyeh Ghassemi | Published: 2020-10-13
DP-SGD
Data Privacy Assessment
Machine Learning
2020.10.13 2025.05.28
Literature Database

Data Heterogeneity Differential Privacy: From Theory to Algorithm

Authors: Yilin Kang, Jian Li, Yong Liu, Weiping Wang | Published: 2020-02-20 | Updated: 2023-01-28
DP-SGD
Privacy-Preserving Algorithm
Loss Function
2020.02.20 2025.05.28
Literature Database