privacy preservation

CemiFace: Center-based Semi-hard Synthetic Face Generation for Face Recognition NeurIPS 2024 Center-Based Relaxed Learning Against Membership Inference Attacks UAI 2024 Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference AAAI 2024 Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning AAAI 2024 CPR: Retrieval Augmented Generation for Copyright Protection CVPR 2024 Data Anonymization for Privacy-Preserving Large Language Model Fine-Tuning on Call Transcripts EACL 2024 Dataset-Distillation Generative Model for Speech Emotion Recognition Interspeech 2024 DECO-Bench: Unified Benchmark for Decoupled Task-Agnostic Synthetic Data Release NeurIPS 2024 De-Identification of Sensitive Personal Data in Datasets Derived from IIT-CDIP EMNLP 2024 Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning EMNLP 2024 Detection and Defense of Unlearnable Examples AAAI 2024 Disguise without Disruption: Utility-Preserving Face De-identification AAAI 2024 DOPPLER: Differentially Private Optimizers with Low-pass Filter for Privacy Noise Reduction NeurIPS 2024 Dual Calibration-based Personalised Federated Learning IJCAI 2024 Efficiently Assemble Normalization Layers and Regularization for Federated Domain Generalization CVPR 2024 Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds CVPR 2024 Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting ICLR 2024 Extending Off-the-shelf NER Systems to Personal Information Detection in Dialogues with a Virtual Agent: Findings from a Real-Life Use Case EACL 2024 Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction CVPR 2024 FedAvP: Augment Local Data via Shared Policy in Federated Learning NeurIPS 2024 FedCD: Federated Semi-Supervised Learning with Class Awareness Balance via Dual Teachers AAAI 2024 FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients IJCAI 2024 Federated Adaptation for Foundation Model-based Recommendations IJCAI 2024 Federated Black-Box Adaptation for Semantic Segmentation NeurIPS 2024 Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models COLING 2024