Privacy

On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023 On the Universal Adversarial Perturbations for Efficient Data-free Adversarial Detection ACL 2023 On User-Level Private Convex Optimization ICML 2023 Optimal and Private Learning from Human Response Data AISTATS 2023 Optimal Decision Trees For Interpretable Clustering with Constraints IJCAI 2023 Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning NeurIPS 2023 Optimal Unbiased Randomizers for Regression with Label Differential Privacy NeurIPS 2023 Optimizing the Collaboration Structure in Cross-Silo Federated Learning ICML 2023 Paired-Point Lifting for Enhanced Privacy-Preserving Visual Localization CVPR 2023 Participatory Personalization in Classification NeurIPS 2023 Patch-Based Privacy Preserving Neural Network for Vision Tasks WACV 2023 PateGail: A Privacy-Preserving Mobility Trajectory Generator with Imitation Learning AAAI 2023 People Taking Photos That Faces Never Share: Privacy Protection and Fairness Enhancement from Camera to User AAAI 2023 Personalized Acoustic Scene Classification in Ultra-low Power Embedded Devices Using Privacy-preserving Data Augmentation Interspeech 2023 Personalized Federated Learning with Inferred Collaboration Graphs ICML 2023 Personalized Subgraph Federated Learning ICML 2023 Person Re-Identification without Identification via Event anonymization ICCV 2023 PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting ICCV 2023 PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models AAAI 2023 Poisoning-Based Backdoor Attacks in Computer Vision AAAI 2023 Poisoning the Well: Can We Simultaneously Attack a Group of Learning Agents? IJCAI 2023 Polynomial Time and Private Learning of Unbounded Gaussian Mixture Models ICML 2023 Posthoc privacy guarantees for collaborative inference with modified Propose-Test-Release NeurIPS 2023 Post-processing Private Synthetic Data for Improving Utility on Selected Measures NeurIPS 2023 PP4AV: A Benchmarking Dataset for Privacy-Preserving Autonomous Driving WACV 2023