Privacy

Differentially Private Statistical Inference through β-Divergence One Posterior Sampling NeurIPS 2023 Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited UAI 2023 Differentially Private Stochastic Convex Optimization under a Quantile Loss Function ICML 2023 Differentially Private Synthetic Control AISTATS 2023 Differentially private synthetic data using KD-trees UAI 2023 Differential Privacy enabled Dementia Classification: An Exploration of the Privacy-Accuracy Trade-off in Speech Signal Data Interspeech 2023 Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models ICML 2023 Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models CVPR 2023 Direct Inference of Effect of Treatment (DIET) for a Cookieless World AISTATS 2023 Discrete Distribution Estimation under User-level Local Differential Privacy AISTATS 2023 Disentangling the Linguistic Competence of Privacy-Preserving BERT EMNLP 2023 DisGUIDE: Disagreement-Guided Data-Free Model Extraction AAAI 2023 Distributionally Robust Recourse Action ICLR 2023 Diverse Community Data for Benchmarking Data Privacy Algorithms NeurIPS 2023 Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability ICCV 2023 Does Label Differential Privacy Prevent Label Inference Attacks? AISTATS 2023 Domain Private Transformers for Multi-Domain Dialog Systems EMNLP 2023 Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand NeurIPS 2023 Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning NeurIPS 2023 DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures Interspeech 2023 DPAUC: Differentially Private AUC Computation in Federated Learning AAAI 2023 DP-BART for Privatized Text Rewriting under Local Differential Privacy ACL 2023 DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference ICML 2023 DP-HyPO: An Adaptive Private Framework for Hyperparameter Optimization NeurIPS 2023 DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement Learning IJCAI 2023