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Privacy Preserving

Papers

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Showing 1851–1900 of 2975 papers

TitleStatusHype
Reconstruction Attack on Instance Encoding for Language Understanding—0
Recovering from Privacy-Preserving Masking with Large Language Models—0
Recursive Privacy-Preserving Estimation Over Markov Fading Channels—0
FedPrompt: Communication-Efficient and Privacy Preserving Prompt Tuning in Federated Learning—0
Reducing ReLU Count for Privacy-Preserving CNN Speedup—0
Reinforcement Learning on Encrypted Data—0
Reinforcement Learning with Differential Privacy—0
Rejoinder: Gaussian Differential Privacy—0
Relative Entropy Regularized Reinforcement Learning for Efficient Encrypted Policy Synthesis—0
Reliability Check via Weight Similarity in Privacy-Preserving Multi-Party Machine Learning—0
ReLU and Addition-based Gated RNN—0
RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service—0
Representation Learning for Audio Privacy Preservation using Source Separation and Robust Adversarial Learning—0
Research Challenges in Designing Differentially Private Text Generation Mechanisms—0
Research on Large Language Model Cross-Cloud Privacy Protection and Collaborative Training based on Federated Learning—0
RESFL: An Uncertainty-Aware Framework for Responsible Federated Learning by Balancing Privacy, Fairness and Utility in Autonomous Vehicles—0
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality—0
Resource-Aware Heterogeneous Federated Learning using Neural Architecture Search—0
Resource-Aware Hierarchical Federated Learning for Video Caching in Wireless Networks—0
Resource-Constrained Federated Continual Learning: What Does Matter?—0
Resource-Constrained On-Device Learning by Dynamic Averaging—0
Resource-Efficient Federated Fine-Tuning Large Language Models for Heterogeneous Data—0
Resource-Efficient Federated Multimodal Learning via Layer-wise and Progressive Training—0
Responsible AI for Earth Observation—0
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks—0
Reversible Privacy Preservation using Multi-level Encryption and Compressive Sensing—0
Review Learning: Alleviating Catastrophic Forgetting with Generative Replay without Generator—0
ReVision: A Dataset and Baseline VLM for Privacy-Preserving Task-Oriented Visual Instruction Rewriting—0
Revisiting Hyperparameter Tuning with Differential Privacy—0
Revolutionizing Cyber Threat Detection with Large Language Models: A privacy-preserving BERT-based Lightweight Model for IoT/IIoT Devices—0
Revolutionizing Disease Diagnosis: A Microservices-Based Architecture for Privacy-Preserving and Efficient IoT Data Analytics Using Federated Learning—0
RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis—0
REWIND Dataset: Privacy-preserving Speaking Status Segmentation from Multimodal Body Movement Signals in the Wild—0
Riemannian Federated Learning via Averaging Gradient Stream—0
RIFLES: Resource-effIcient Federated LEarning via Scheduling—0
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems—0
RLSA-PFL: Robust Lightweight Secure Aggregation with Model Inconsistency Detection in Privacy-Preserving Federated Learning—0
Adversarial Robustness through Bias Variance Decomposition: A New Perspective for Federated Learning—0
Robust Federated Contrastive Recommender System against Model Poisoning Attack—0
Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation—0
Robust Federated Training via Collaborative Machine Teaching using Trusted Instances—0
Robust Privacy-Preserving Motion Detection and Object Tracking in Encrypted Streaming Video—0
Robust Quantity-Aware Aggregation for Federated Learning—0
Robust Representation Learning for Privacy-Preserving Machine Learning: A Multi-Objective Autoencoder Approach—0
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones—0
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing—0
Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework—0
Roulette: A Semantic Privacy-Preserving Device-Edge Collaborative Inference Framework for Deep Learning Classification Tasks—0
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization—0
RRNet: Towards ReLU-Reduced Neural Network for Two-party Computation Based Private Inference—0
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