Co-occurring keywords · papers mentioning both
Papers
DP-GenG: Differentially Private Dataset Distillation Guided by DP-Generated Data
AAAI 2026
PrivSV: Differentially Private Steering Vector for Large Language Models
AAAI 2026
Differentially Private Federated Learning with Time-Adaptive Privacy Spending
ICLR 2025
Dyn-D^2P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee
IJCAI 2025
Empirical Privacy Variance
ICML 2025
Gaussian Differentially Private Human Faces Under a Face Radial Curve Representation
ICLR 2025
Improving Noise Efficiency in Privacy-preserving Dataset Distillation
ICCV 2025
Theoretically Unmasking Inference Attacks Against LDP-Protected Clients in Federated Vision Models
ICML 2025
Differentially Private Sum-Product Networks
ICML 2024
Differentially Private Video Activity Recognition
WACV 2024
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification
CVPR 2024
Prior-itizing Privacy: A Bayesian Approach to Setting the Privacy Budget in Differential Privacy
NeurIPS 2024
Proactive DP: A Multiple Target Optimization Framework for DP-SGD
ICML 2024
Responsible Bandit Learning via Privacy-Protected Mean-Volatility Utility
AAAI 2024
To Share or Not to Share: What Risks Would Laypeople Accept to Give Sensitive Data to Differentially-Private NLP Systems?
COLING 2024
Wasserstein Differential Privacy
AAAI 2024
Algorithms for bounding contribution for histogram estimation under user-level privacy
ICML 2023
Bayesian Estimation of Differential Privacy
ICML 2023
Have it your way: Individualized Privacy Assignment for DP-SGD
NeurIPS 2023
On the Complexity of Differentially Private Best-Arm Identification with Fixed Confidence
NeurIPS 2023
Private Image Generation With Dual-Purpose Auxiliary Classifier
CVPR 2023
TAN Without a Burn: Scaling Laws of DP-SGD
ICML 2023
Differentially Private Community Detection for Stochastic Block Models
ICML 2022
Differentially Private Fine-tuning of Language Models
ICLR 2022
Large Language Models Can Be Strong Differentially Private Learners
ICLR 2022