Co-occurring keywords · papers mentioning both
Papers
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
ICML 2025
Tokens for Learning, Tokens for Unlearning: Mitigating Membership Inference Attacks in Large Language Models via Dual-Purpose Training
ACL 2025
A Randomized Approach to Tight Privacy Accounting
NeurIPS 2023
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization
AAAI 2021
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels
NAACL 2021
When Does Data Augmentation Help With Membership Inference Attacks?
ICML 2021