differential privacy

Greedy Poisson Rejection Sampling NeurIPS 2023 Guiding Text-to-Text Privatization by Syntax ACL 2023 Have it your way: Individualized Privacy Assignment for DP-SGD NeurIPS 2023 High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent AISTATS 2023 Improved Convergence of Differential Private SGD with Gradient Clipping ICLR 2023 Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners NeurIPS 2023 Incentives in Private Collaborative Machine Learning NeurIPS 2023 Incentivising Diffusion while Preserving Differential Privacy UAI 2023 Individual Privacy Accounting with Gaussian Differential Privacy ICLR 2023 Integer Subspace Differential Privacy AAAI 2023 Jointly Reparametrized Multi-Layer Adaptation for Efficient and Private Tuning ACL 2023 k-Median Clustering via Metric Embedding: Towards Better Initialization with Differential Privacy NeurIPS 2023 Knowledge Unlearning for Mitigating Privacy Risks in Language Models ACL 2023 Label differential privacy and private training data release ICML 2023 Label Robust and Differentially Private Linear Regression: Computational and Statistical Efficiency NeurIPS 2023 Learning-augmented private algorithms for multiple quantile release ICML 2023 Learning to Design Fair and Private Voting Rules (Extended Abstract) IJCAI 2023 Learning To Invert: Simple Adaptive Attacks for Gradient Inversion in Federated Learning UAI 2023 Locally Differentially Private Document Generation Using Zero Shot Prompting EMNLP 2023 Model Conversion via Differentially Private Data-Free Distillation IJCAI 2023 Multi-Agent Best Arm Identification with Private Communications ICML 2023 Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning ICML 2023 Multi-Task Differential Privacy Under Distribution Skew ICML 2023 Nearly Tight Bounds For Differentially Private Multiway Cut NeurIPS 2023 Near-Optimal Algorithms for Private Online Optimization in the Realizable Regime ICML 2023