conftrace_

privacy-preserving learning

117 papers

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Co-occurring keywords

differential privacy (1016) federated learning (1333) privacy preservation (380) knowledge distillation (3725) large language model (13587) stochastic gradient descent (1091) local differential privacy (73) distributed learning (563) collaborative learning (148) regret bound (1926)

Papers

Ensemble Attention Distillation for Privacy-Preserving Federated Learning ICCV 2021
Learning Model-Based Privacy Protection under Budget Constraints AAAI 2021
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data IJCNLP 2021
Parameter-free HE-friendly Logistic Regression NIPS 2021
Multiclass versus Binary Differentially Private PAC Learning NIPS 2021
Differentially Private Learning with Adaptive Clipping NIPS 2021
Differentially Private Multi-Armed Bandits in the Shuffle Model NIPS 2021
Learning Language and Multimodal Privacy-Preserving Markers of Mood from Mobile Data ACL 2021
Improving Privacy Guarantee and Efficiency of Latent Dirichlet Allocation Model Training Under Differential Privacy EMNLP 2021
Information Obfuscation of Graph Neural Networks ICML 2021
G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators NIPS 2021
Fast and Memory Efficient Differentially Private-SGD via JL Projections NIPS 2021
Constrained differentially private federated learning for low-bandwidth devices UAI 2021
Private-kNN: Practical Differential Privacy for Computer Vision CVPR 2020
The Discrete Gaussian for Differential Privacy NIPS 2020
Interpreting Multimodal Machine Learning Models Trained for Emotion Recognition to Address Robustness and Privacy Concerns AAAI 2020
Robust Federated Learning via Collaborative Machine Teaching AAAI 2020
PrivNet: Safeguarding Private Attributes in Transfer Learning for Recommendation EMNLP 2020
Learning discrete distributions: user vs item-level privacy NIPS 2020
Learning Rate Adaptation for Differentially Private Learning AISTATS 2020
Improving On-Device Speaker Verification Using Federated Learning with Privacy INTERSPEECH 2020
Optimal Query Complexity of Secure Stochastic Convex Optimization NIPS 2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators NIPS 2020
Federated Latent Dirichlet Allocation: A Local Differential Privacy Based Framework AAAI 2020
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data NIPS 2020