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Privacy Preserving

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Showing 1726–1750 of 2975 papers

TitleStatusHype
Generation of Gradient-Preserving Images allowing HOG Feature Extraction—0
Synthetic Observational Health Data with GANs: from slow adoption to a boom in medical research and ultimately digital twins?—0
Generative Model-Based Attack on Learnable Image Encryption for Privacy-Preserving Deep Learning—0
GenShare: Sharing Accurate Differentially-Private Statistics for Genomic Datasets with Dependent Tuples—0
GhostVec: A New Threat to Speaker Privacy of End-to-End Speech Recognition System—0
GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge—0
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces—0
Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data—0
Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems—0
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems—0
Gradient Inversion of Federated Diffusion Models—0
Gradient Obfuscation Gives a False Sense of Security in Federated Learning—0
Gradient Sparsification Can Improve Performance of Differentially-Private Convex Machine Learning—0
GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model—0
Graph-Homomorphic Perturbations for Private Decentralized Learning—0
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs—0
Grounding Foundation Models through Federated Transfer Learning: A General Framework—0
GTV: Generating Tabular Data via Vertical Federated Learning—0
Guaranteed Privacy-Preserving H_-Optimal Interval Observer Design for Bounded-Error LTI Systems—0
GuardNN: Secure Accelerator Architecture for Privacy-Preserving Deep Learning—0
Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs?—0
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging—0
Fairness-aware Federated Minimax Optimization with Convergence Guarantee—0
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning—0
Harvesting Private Medical Images in Federated Learning Systems with Crafted Models—0
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