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Privacy Preserving

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Showing 701–750 of 2975 papers

TitleStatusHype
Empowering Data Mesh with Federated LearningCode0
Obfuscation Based Privacy Preserving Representations are Recoverable Using Neighborhood InformationCode0
Enhanced Outsourced and Secure Inference for Tall Sparse Decision TreesCode0
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated LearningCode0
Efficient and Privacy-Preserved Link Prediction via Condensed GraphsCode0
A Statistical Approach for Synthetic EEG Data GenerationCode0
Exploring Federated Pruning for Large Language ModelsCode0
Contrastive Learning and Adversarial Disentanglement for Task-Oriented Semantic CommunicationsCode0
Differentially private partitioned variational inferenceCode0
On the Price of Differential Privacy for Hierarchical ClusteringCode0
DYSAN: Dynamically sanitizing motion sensor data against sensitive inferences through adversarial networksCode0
DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoVCode0
Assessing the Impact of Image Dataset Features on Privacy-Preserving Machine LearningCode0
Differentially Private Releasing via Deep Generative Model (Technical Report)Code0
DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated IndustriesCode0
Differentially Private Sliced Wasserstein DistanceCode0
DP-NMT: Scalable Differentially-Private Machine TranslationCode0
P3GM: Private High-Dimensional Data Release via Privacy Preserving Phased Generative ModelCode0
DPM: Clustering Sensitive Data through SeparationCode0
DP-EM: Differentially Private Expectation MaximizationCode0
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian InferenceCode0
Congruent Learning for Self-Regulated Federated Learning in 6GCode0
ConfLab: A Data Collection Concept, Dataset, and Benchmark for Machine Analysis of Free-Standing Social Interactions in the WildCode0
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERMCode0
Personalized and privacy-preserving federated heterogeneous medical image analysis with PPPML-HMICode0
Differential Privacy at Risk: Bridging Randomness and Privacy BudgetCode0
Distributed Learning without Distress: Privacy-Preserving Empirical Risk MinimizationCode0
Domain Adaptation from ScratchCode0
Confidential Prompting: Protecting User Prompts from Cloud LLM ProvidersCode0
Bigger But Not Better: Small Neural Language Models Outperform Large Language Models in Detection of Thought DisorderCode0
AdaCliP: Adaptive Clipping for Private SGDCode0
Distributed Differentially Private Computation of Functions with Correlated NoiseCode0
Dirichlet Mechanism for Differentially Private KL Divergence MinimizationCode0
Planting and Mitigating Memorized Content in Predictive-Text Language ModelsCode0
Domain Borders Are There to Be Crossed With Federated Few-Shot AdaptationCode0
DPMAC: Differentially Private Communication for Cooperative Multi-Agent Reinforcement LearningCode0
HFedMS: Heterogeneous Federated Learning with Memorable Data Semantics in Industrial MetaverseCode0
Secure Summation via Subset Sums: A New Primitive for Privacy-Preserving Distributed Machine LearningCode0
Computation-Efficient and Recognition-Friendly 3D Point Cloud Privacy Protection—0
A Secure and Efficient Distributed Semantic Communication System for Heterogeneous Internet of Things—0
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles—0
Compression Boosts Differentially Private Federated Learning—0
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning—0
AI and Democracy's Digital Identity Crisis—0
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks—0
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks—0
Comprehensive Exploration of Synthetic Data Generation: A Survey—0
Composable Generative Models—0
Artificial Intelligence for Secured Information Systems in Smart Cities: Collaborative IoT Computing with Deep Reinforcement Learning and Blockchain—0
A Hybrid Federated Kernel Regularized Least Squares Algorithm—0
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