Co-occurring keywords · papers mentioning both
Papers
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
IJCAI 2023
Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning
ICLR 2023
Sketch-Flip-Merge: Mergeable Sketches for Private Distinct Counting
ICML 2023
Sketching for First Order Method: Efficient Algorithm for Low-Bandwidth Channel and Vulnerability
ICML 2023
Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance
ICML 2023
Smooth Flipping Probability for Differential Private Sign Random Projection Methods
NeurIPS 2023
Sparsity-Preserving Differentially Private Training of Large Embedding Models
NeurIPS 2023
Split, count, and share: a differentially private set intersection cardinality estimation protocol
UAI 2023
Statistical Indistinguishability of Learning Algorithms
ICML 2023
Statistical Theory of Differentially Private Marginal-based Data Synthesis Algorithms
ICLR 2023
Stochastic Differentially Private and Fair Learning
ICLR 2023
Streaming Submodular Maximization with Differential Privacy
ICML 2023
Subset-Based Instance Optimality in Private Estimation
ICML 2023
Synthetic Data Generation of Many-to-Many Datasets via Random Graph Generation
ICLR 2023
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe
ACL 2023
TAN Without a Burn: Scaling Laws of DP-SGD
ICML 2023
The Bayesian Stability Zoo
NeurIPS 2023
The communication cost of security and privacy in federated frequency estimation
AISTATS 2023
The Price of Differential Privacy under Continual Observation
ICML 2023
The Saddle-Point Method in Differential Privacy
ICML 2023
The Target-Charging Technique for Privacy Analysis across Interactive Computations
NeurIPS 2023
The Test of Tests: A Framework for Differentially Private Hypothesis Testing
ICML 2023
Tight Data Access Bounds for Private Top-k Selection
ICML 2023
Trade-Offs Between Fairness and Privacy in Language Modeling
ACL 2023
Training Private Models That Know What They Don’t Know
NeurIPS 2023