Co-occurring keywords · papers mentioning both
Papers
DP-AdamBC: Your DP-Adam Is Actually DP-SGD (Unless You Apply Bias Correction)
AAAI 2024
DP-NMT: Scalable Differentially Private Machine Translation
EACL 2024
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
ICLR 2024
DP-SGD Without Clipping: The Lipschitz Neural Network Way
ICLR 2024
Efficient and Private Marginal Reconstruction with Local Non-Negativity
NeurIPS 2024
Efficiently Computing Similarities to Private Datasets
ICLR 2024
Evaluating Differentially Private Synthetic Data Generation in High-Stakes Domains
EMNLP 2024
Fairness and Privacy Guarantees in Federated Contextual Bandits
ACML 2024
Faster Algorithms for User-Level Private Stochastic Convex Optimization
NeurIPS 2024
Faster Differentially Private Top-k Selection: A Joint Exponential Mechanism with Pruning
NeurIPS 2024
Faster Rates of Differentially Private Stochastic Convex Optimization
JMLR 2024
Federated Experiment Design under Distributed Differential Privacy
AISTATS 2024
Federated Graph Learning for Cross-Domain Recommendation
NeurIPS 2024
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups
NeurIPS 2024
Federated Transformer: Multi-Party Vertical Federated Learning on Practical Fuzzily Linked Data
NeurIPS 2024
FedP3: Federated Personalized and Privacy-friendly Network Pruning under Model Heterogeneity
ICLR 2024
FedSC: Provable Federated Self-supervised Learning with Spectral Contrastive Objective over Non-i.i.d. Data
ICML 2024
Finding ε and δ of Traditional Disclosure Control Systems
AAAI 2024
Fine-Tuning Language Models with Differential Privacy through Adaptive Noise Allocation
EMNLP 2024
Fixed-Budget Differentially Private Best Arm Identification
ICLR 2024
Frequency Oracle for Sensitive Data Monitoring (Student Abstract)
AAAI 2024
Generate Synthetic Text Approximating the Private Distribution with Differential Privacy
IJCAI 2024
Generation and Evaluation of Synthetic Endoscopy Free-Text Reports with Differential Privacy
ACL 2024
Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation
EMNLP 2024
Implicit Bias in Noisy-SGD: With Applications to Differentially Private Training
AISTATS 2024