Co-occurring keywords · papers mentioning both
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