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conftrace_

privacy-preserving machine learning

108 papers

PPML

Papers

Goten: GPU-Outsourcing Trusted Execution of Neural Network Training AAAI 2021 Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix ICML 2021 Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics CVPR 2021 Privacy-Preserving Collaborative Learning With Automatic Transformation Search CVPR 2021 Reconstruction Attack on Instance Encoding for Language Understanding EMNLP 2021 SemEval-2021 Task 10: Source-Free Domain Adaptation for Semantic Processing SemEval 2021 A Scalable Approach for Privacy-Preserving Collaborative Machine Learning NeurIPS 2020 AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference NeurIPS 2020 Differentially Private and Fair Classification via Calibrated Functional Mechanism AAAI 2020 ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition CVPR 2020 Federated Meta-Learning for Fraudulent Credit Card Detection IJCAI 2020 Improving Sparse Vector Technique with Renyi Differential Privacy NeurIPS 2020 InstaHide: Instance-hiding Schemes for Private Distributed Learning ICML 2020 Pairwise Learning with Differential Privacy Guarantees AAAI 2020 Practical Federated Gradient Boosting Decision Trees AAAI 2020 Privacy-Preserving Gaussian Process Regression – A Modular Approach to the Application of Homomorphic Encryption AAAI 2020 Privacy-Preserving Gradient Boosting Decision Trees AAAI 2020 Differential Privacy Has Disparate Impact on Model Accuracy NeurIPS 2019 How Does Knowledge of the AUC Constrain the Set of Possible Ground-Truth Labelings? AAAI 2019 KNG: The K-Norm Gradient Mechanism NeurIPS 2019 Logistic Regression on Homomorphic Encrypted Data at Scale AAAI 2019 Partially Encrypted Deep Learning using Functional Encryption NeurIPS 2019 Privacy-Preserving Stacking with Application to Cross-organizational Diabetes Prediction IJCAI 2019 Differentially Private Regression with Gaussian Processes AISTATS 2018 Patient Privacy in Paralinguistic Tasks Interspeech 2018