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

Robust and Actively Secure Serverless Collaborative Learning NIPS 2023
Learning under Label Proportions for Text Classification EMNLP 2023
Privacy-Preserving End-to-End Spoken Language Understanding IJCAI 2023
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023
Generalized Linear Models in Non-interactive Local Differential Privacy with Public Data JMLR 2023
Differentially Private Learning with Per-Sample Adaptive Clipping AAAI 2023
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting ACL 2023
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation AAAI 2023
Patch-Based Privacy Preserving Neural Network for Vision Tasks WACV 2023
Differentially Private Optimization on Large Model at Small Cost ICML 2023
Dropout-Resilient Secure Multi-Party Collaborative Learning with Linear Communication Complexity AISTATS 2023
Efficient Privacy-Preserving Stochastic Nonconvex Optimization UAI 2023
Fundamental Limits and Tradeoffs in Invariant Representation Learning JMLR 2022
APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers CVPR 2022
Differentially Private Federated Learning on Heterogeneous Data AISTATS 2022
Encrypted Linear Contextual Bandit AISTATS 2022
Federated Pruning: Improving Neural Network Efficiency with Federated Learning INTERSPEECH 2022
How reparametrization trick broke differentially-private text representation learning ACL 2022
PrivateSNN: Privacy-Preserving Spiking Neural Networks AAAI 2022
Sentence-level Privacy for Document Embeddings ACL 2022
When Privacy Meets Partial Information: A Refined Analysis of Differentially Private Bandits NIPS 2022
PrivateMail: Supervised Manifold Learning of Deep Features with Privacy for Image Retrieval AAAI 2022
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs IJCAI 2022
Federated Learning of User Verification Models Without Sharing Embeddings ICML 2021
Deep Learning with Label Differential Privacy NIPS 2021