TensorSCONE: A Secure TensorFlow Framework using Intel SGX Authors: Roland Kunkel, Do Le Quoc, Franz Gregor, Sergei Arnautov, Pramod Bhatotia, Christof Fetzer | Published: 2019-02-12 Performance EvaluationThreat ModelWatermarking Technology 2019.02.12 2025.05.28 Literature Database
Reaching Data Confidentiality and Model Accountability on the CalTrain Authors: Zhongshu Gu, Hani Jamjoom, Dong Su, Heqing Huang, Jialong Zhang, Tengfei Ma, Dimitrios Pendarakis, Ian Molloy | Published: 2018-12-07 Trigger DetectionPerformance EvaluationFederated Learning 2018.12.07 2025.05.28 Literature Database
Three Tools for Practical Differential Privacy Authors: Koen Lennart van der Veen, Ruben Seggers, Peter Bloem, Giorgio Patrini | Published: 2018-12-07 Hyperparameter OptimizationPerformance EvaluationDifferential Privacy 2018.12.07 2025.05.28 Literature Database
When Homomorphic Cryptosystem Meets Differential Privacy: Training Machine Learning Classifier with Privacy Protection Authors: Xiangyun Tang, Liehuang Zhu, Meng Shen, Xiaojiang Du | Published: 2018-12-06 Performance EvaluationPrivacy ProtectionDifferential Privacy 2018.12.06 2025.05.28 Literature Database
A lightweight MapReduce framework for secure processing with SGX Authors: Rafael Pires, Daniel Gavril, Pascal Felber, Emanuel Onica, Marcelo Pasin | Published: 2017-05-16 Data-Driven ClusteringPerformance EvaluationPrivacy-Preserving Algorithm 2017.05.16 2025.05.28 Literature Database
PerfWeb: How to Violate Web Privacy with Hardware Performance Events Authors: Berk Gulmezoglu, Andreas Zankl, Thomas Eisenbarth, Berk Sunar | Published: 2017-05-12 Performance EvaluationModel Performance EvaluationUser Activity Analysis 2017.05.12 2025.05.28 Literature Database