privacy-utility trade-off

Auditing Privacy Mechanisms via Label Inference Attacks NeurIPS 2024 DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release NeurIPS 2024 Differentially Private Set Representations NeurIPS 2024 Efficiently Computing Similarities to Private Datasets ICLR 2024 Exactly Minimax-Optimal Locally Differentially Private Sampling NeurIPS 2024 Federated Experiment Design under Distributed Differential Privacy AISTATS 2024 Mitigating Privacy Risk in Membership Inference by Convex-Concave Loss ICML 2024 On Mitigating the Utility-Loss in Differentially Private Learning: A New Perspective by a Geometrically Inspired Kernel Approach (Abstract Reprint) IJCAI 2024 Privacy Amplification for Matrix Mechanisms ICLR 2024 Split-and-Denoise: Protect large language model inference with local differential privacy ICML 2024 The Limits of Differential Privacy in Online Learning NeurIPS 2024 A Blessing of Dimensionality in Membership Inference through Regularization AISTATS 2023 A Customized Text Sanitization Mechanism with Differential Privacy ACL 2023 Algorithms for bounding contribution for histogram estimation under user-level privacy ICML 2023 Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023 Differentially Private Image Classification by Learning Priors from Random Processes NeurIPS 2023 Exploring the Benefits of Visual Prompting in Differential Privacy ICCV 2023 Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping ICLR 2023 Have it your way: Individualized Privacy Assignment for DP-SGD NeurIPS 2023 Label differential privacy and private training data release ICML 2023 Learning To Generate Image Embeddings With User-Level Differential Privacy CVPR 2023 Locally Differentially Private Document Generation Using Zero Shot Prompting EMNLP 2023 Noisy adversarial representation learning for effective and efficient image obfuscation UAI 2023 Practical Differentially Private Hyperparameter Tuning with Subsampling NeurIPS 2023 Privacy-Aware Compression for Federated Learning Through Numerical Mechanism Design ICML 2023