Co-occurring keywords · papers mentioning both
Papers
FedHGN: A Federated Framework for Heterogeneous Graph Neural Networks
IJCAI 2023
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP
ACL 2023
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion
IJCAI 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
ICML 2023
Fundamentals of Task-Agnostic Data Valuation
AAAI 2023
GAN You See Me? Enhanced Data Reconstruction Attacks against Split Inference
NeurIPS 2023
Global Balanced Experts for Federated Long-Tailed Learning
ICCV 2023
Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
EACL 2023
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption
ICML 2023
Incentive-Boosted Federated Crowdsourcing
AAAI 2023
Instance-wise Batch Label Restoration via Gradients in Federated Learning
ICLR 2023
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation
WACV 2023
LDP-Feat: Image Features with Local Differential Privacy
ICCV 2023
Masked Jigsaw Puzzle: A Versatile Position Embedding for Vision Transformers
CVPR 2023
Mitigating Societal Harms in Large Language Models
EMNLP 2023
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based on Flexible Location Gradient Reversal Layer
Interspeech 2023
On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation
ICML 2023
On the Gini-impurity Preservation For Privacy Random Forests
NeurIPS 2023
Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization
CVPR 2023
Practical privacy-preserving Gaussian process regression via secret sharing
UAI 2023
Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models
EMNLP 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
NeurIPS 2023
Privacy- and Utility-Preserving NLP with Anonymized data: A case study of Pseudonymization
ACL 2023
Privacy-Preserved Evolutionary Graph Modeling via Gromov-Wasserstein Autoregression
AAAI 2023
Privacy-Preserving Face Recognition Using Random Frequency Components
ICCV 2023