Co-occurring keywords · papers mentioning both
Papers
Scalable and Efficient Training of Large Convolutional Neural Networks with Differential Privacy
NeurIPS 2022
Selective Differential Privacy for Language Modeling
NAACL 2022
Sentence-level Privacy for Document Embeddings
ACL 2022
SeqPATE: Differentially Private Text Generation via Knowledge Distillation
NeurIPS 2022
Shape And Structure Preserving Differential Privacy
NeurIPS 2022
Shuffle Private Linear Contextual Bandits
ICML 2022
Shuffle Private Stochastic Convex Optimization
ICLR 2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
NeurIPS 2022
SplitFed: When Federated Learning Meets Split Learning
AAAI 2022
Subspace Differential Privacy
AAAI 2022
Task-level Differentially Private Meta Learning
NeurIPS 2022
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
ICML 2022
The Impact of Differential Privacy on Group Disparity Mitigation
NAACL 2022
The Limits of Word Level Differential Privacy
NAACL 2022
The Poisson Binomial Mechanism for Unbiased Federated Learning with Secure Aggregation
ICML 2022
The Privacy Onion Effect: Memorization is Relative
NeurIPS 2022
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection
AAAI 2022
Tight and Robust Private Mean Estimation with Few Users
ICML 2022
Toward Privacy-preserving Text Embedding Similarity with Homomorphic Encryption
EMNLP 2022
Training Text-to-Text Transformers with Privacy Guarantees
ACL 2022
Training Text-to-Text Transformers with Privacy Guarantees
NAACL 2022
Transfer Learning In Differential Privacy’s Hybrid-Model
ICML 2022
Two-mode Networks: Inference with as Many Parameters as Actors and Differential Privacy
JMLR 2022
Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy
ICML 2022
User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning
Interspeech 2022