Privacy

Differentially Private Generalized Linear Models Revisited NeurIPS 2022 Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank NeurIPS 2022 Differentially Private Histograms under Continual Observation: Streaming Selection into the Unknown AISTATS 2022 Differentially Private Language Models for Secure Data Sharing EMNLP 2022 Differentially Private Learning Needs Hidden State (Or Much Faster Convergence) NeurIPS 2022 Differentially Private Learning with Margin Guarantees NeurIPS 2022 Differentially Private Linear Sketches: Efficient Implementations and Applications NeurIPS 2022 Differentially Private Maximal Information Coefficients ICML 2022 Differentially Private Model Compression NeurIPS 2022 Differentially private multi-party data release for linear regression UAI 2022 Differentially Private Normalizing Flows for Synthetic Tabular Data Generation AAAI 2022 Differentially Private Online-to-batch for Smooth Losses NeurIPS 2022 Differentially Private Regression with Unbounded Covariates AISTATS 2022 Differentially Private Regret Minimization in Episodic Markov Decision Processes AAAI 2022 Differentially private SGDA for minimax problems UAI 2022 Differential privacy and robust statistics in high dimensions COLT 2022 Differential privacy for symmetric log-concave mechanisms AISTATS 2022 Differential Privacy in Natural Language Processing: The Story So Far NAACL 2022 Distillation-Resistant Watermarking for Model Protection in NLP EMNLP 2022 Donar: Anonymous VoIP over Tor NSDI 2022 DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis CVPR 2022 DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy AAAI 2022 DP-PCA: Statistically Optimal and Differentially Private PCA NeurIPS 2022 DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting COLING 2022 DRAG: Dynamic Region-Aware GCN for Privacy-Leaking Image Detection AAAI 2022