Privacy

A Smooth Binary Mechanism for Efficient Private Continual Observation NeurIPS 2023 Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks EMNLP 2023 A Statistical Framework for Personalized Federated Learning and Estimation: Theory, Algorithms, and Privacy ICLR 2023 Attacks against Federated Learning Defense Systems and their Mitigation JMLR 2023 Attribute-Preserving Face Dataset Anonymization via Latent Code Optimization CVPR 2023 A Unified Detection Framework for Inference-Stage Backdoor Defenses NeurIPS 2023 A Unified Fast Gradient Clipping Framework for DP-SGD NeurIPS 2023 A Unified Solution for Privacy and Communication Efficiency in Vertical Federated Learning NeurIPS 2023 Automated De-Identification of Arabic Medical Records EMNLP 2023 Automatic Anonymization of Swiss Federal Supreme Court Rulings EMNLP 2023 Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger NeurIPS 2023 AWARE-TEXT: An Android Package for Mobile Phone Based Text Collection and On-Device Processing EMNLP 2023 A Watermark for Large Language Models ICML 2023 Backdoor Cleansing With Unlabeled Data CVPR 2023 BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking NeurIPS 2023 Bag of Tricks for Training Data Extraction from Language Models ICML 2023 Batchnorm Allows Unsupervised Radial Attacks NeurIPS 2023 Bayesian Estimation of Differential Privacy ICML 2023 Bayesian Federated Learning: A Survey IJCAI 2023 Better Private Linear Regression Through Better Private Feature Selection NeurIPS 2023 Beyond Uniform Lipschitz Condition in Differentially Private Optimization ICML 2023 Black-box Backdoor Defense via Zero-shot Image Purification NeurIPS 2023 Black-Box Differential Privacy for Interactive ML NeurIPS 2023 Boomerang: Metadata-Private Messaging under Hardware Trust NSDI 2023 Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary CVPR 2023