Co-occurring keywords · papers mentioning both
Papers
Towards Federated Bayesian Network Structure Learning with Continuous Optimization
AISTATS 2022
Towards Verifiable Federated Learning
IJCAI 2022
Using Public Data to Predict Demand for Mobile Health Clinics
AAAI 2022
Adaptive Privacy Preserving Deep Learning Algorithms for Medical Data
WACV 2021
Addressing Class Imbalance in Federated Learning
AAAI 2021
Adversarial Disentanglement of Speaker Representation for Attribute-Driven Privacy Preservation
Interspeech 2021
Against Membership Inference Attack: Pruning is All You Need
IJCAI 2021
Anonymizing Egocentric Videos
ICCV 2021
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning
NAACL 2021
Bringing Decentralized Search to Decentralized Services
OSDI 2021
CAPE: Context-Aware Private Embeddings for Private Language Learning
EMNLP 2021
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
ACML 2021
Collaborative Unsupervised Visual Representation Learning From Decentralized Data
ICCV 2021
Configurable Privacy-Preserving Automatic Speech Recognition
Interspeech 2021
CTAB-GAN: Effective Table Data Synthesizing
ACML 2021
Dataset Meta-Learning from Kernel Ridge-Regression
ICLR 2021
Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification
AAAI 2021
Differentially Private Correlation Alignment for Domain Adaptation
IJCAI 2021
Evaluating Gradient Inversion Attacks and Defenses in Federated Learning
NeurIPS 2021
Federated Learning of User Verification Models Without Sharing Embeddings
ICML 2021
FedRec++: Lossless Federated Recommendation with Explicit Feedback
AAAI 2021
Graph-Free Knowledge Distillation for Graph Neural Networks
IJCAI 2021
How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines
CVPR 2021
IronMask: Modular Architecture for Protecting Deep Face Template
CVPR 2021
Learning and Evaluating a Differentially Private Pre-trained Language Model
EMNLP 2021