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Privacy Preserving

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Showing 51–100 of 2975 papers

TitleStatusHype
SecONNds: Secure Outsourced Neural Network Inference on ImageNetCode0
Intelligent Travel Activity Monitoring: Generalized Distributed Acoustic Sensing Approaches—0
FedVLMBench: Benchmarking Federated Fine-Tuning of Vision-Language Models—0
Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning—0
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols—0
A Privacy-Preserving Federated Learning Framework for Generalizable CBCT to Synthetic CT Translation in Head and Neck—0
Are Trees Really Green? A Detection Approach of IoT Malware Attacks—0
TimberStrike: Dataset Reconstruction Attack Revealing Privacy Leakage in Federated Tree-Based SystemsCode0
Realistic Urban Traffic Generator using Decentralized Federated Learning for the SUMO simulatorCode0
Breaking Data Silos: Towards Open and Scalable Mobility Foundation Models via Generative Continual Learning—0
QualitEye: Public and Privacy-preserving Gaze Data Quality Verification—0
Multi-Modal Multi-Task Federated Foundation Models for Next-Generation Extended Reality Systems: Towards Privacy-Preserving Distributed Intelligence in AR/VR/MR—0
Simple Yet Effective: Extracting Private Data Across Clients in Federated Fine-Tuning of Large Language Models—0
PixCell: A generative foundation model for digital histopathology images—0
GCFL: A Gradient Correction-based Federated Learning Framework for Privacy-preserving CPSS—0
MedAgentGym: Training LLM Agents for Code-Based Medical Reasoning at Scale—0
Evaluating Apple Intelligence's Writing Tools for Privacy Against Large Language Model-Based Inference Attacks: Insights from Early Datasets—0
Learning to Diagnose Privately: DP-Powered LLMs for Radiology Report Classification—0
Gradient Inversion Attacks on Parameter-Efficient Fine-TuningCode0
Towards Generalizable Drowsiness Monitoring with Physiological Sensors: A Preliminary Study—0
Sociodynamics-inspired Adaptive Coalition and Client Selection in Federated Learning—0
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation—0
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models—0
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles—0
Recursive Privacy-Preserving Estimation Over Markov Fading Channels—0
Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping—0
SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data—0
Designing DSIC Mechanisms for Data Sharing in the Era of Large Language Models—0
Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset—0
PAKTON: A Multi-Agent Framework for Question Answering in Long Legal AgreementsCode1
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare—0
Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment—0
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection—0
Federated Foundation Model for GI Endoscopy Images—0
Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling—0
Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports—0
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection—0
Loss-Guided Model Sharing and Local Learning Correction in Decentralized Federated Learning for Crop Disease Classification—0
Position: Federated Foundation Language Model Post-Training Should Focus on Open-Source Models—0
An Empirical Study of Federated Prompt Learning for Vision Language Model—0
Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference—0
Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions—0
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning—0
CSI-Bench: A Large-Scale In-the-Wild Dataset for Multi-task WiFi SensingCode1
DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated IndustriesCode0
MedOrchestra: A Hybrid Cloud-Local LLM Approach for Clinical Data Interpretation—0
Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-2—0
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects—0
Fog Intelligence for Network Anomaly Detection—0
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things—0
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