Showing 1–20 of 145 results
/ Date/ Name
Aug 16, 2021A Novel Attribute Reconstruction Attack in Federated LearningOct 25, 2019Towards Distributed Privacy-Preserving PredictionMay 11, 2021DP-SIGNSGD: When Efficiency Meets Privacy and RobustnessMay 23, 2021Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIsJun 25, 2020Towards Differentially Private Text RepresentationsMar 4, 2020Threats to Federated Learning: A SurveyJun 4, 2019Towards Fair and Privacy-Preserving Federated Deep ModelsJul 18, 2020How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep LearningJun 26, 2019Privacy-Preserving Blockchain-Based Federated Learning for IoT DevicesSep 11, 2020Federated Model Distillation with Noise-Free Differential PrivacyJan 15, 2021Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural NetworksJun 7, 2022FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial LearningSep 19, 2022CATER: Intellectual Property Protection on Text Generation APIs via Conditional WatermarksDec 14, 2022FedSkip: Combatting Statistical Heterogeneity with Federated Skip AggregationJun 25, 2023FedSampling: A Better Sampling Strategy for Federated LearningJun 4, 2023Revisiting Data-Free Knowledge Distillation with Poisoned TeachersJun 9, 2023FedWon: Triumphing Multi-domain Federated Learning Without NormalizationJun 7, 2024Evaluating and Mitigating IP Infringement in Visual Generative AIAug 1, 2024A Simple Background Augmentation Method for Object Detection with Diffusion ModelJul 6, 2023DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models