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Privacy Preserving

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Showing 1301–1350 of 2975 papers

TitleStatusHype
Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution—0
FPGA-Based Hardware Accelerator of Homomorphic Encryption for Efficient Federated Learning—0
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning—0
Free Lunch for Privacy Preserving Distributed Graph Learning—0
Detekcja upadku i wybranych akcji na sekwencjach obrazów cyfrowych—0
From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning—0
From Private to Public: Benchmarking GANs in the Context of Private Time Series Classification—0
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference—0
FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation—0
Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond—0
Federated Learning Approach for Lifetime Prediction of Semiconductor Lasers—0
Secure Embedding Aggregation for Federated Representation Learning—0
Fundamental Limits and Tradeoffs in Invariant Representation Learning—0
Future-Proofing Medical Imaging with Privacy-Preserving Federated Learning and Uncertainty Quantification: A Review—0
G3R: Generating Rich and Fine-grained mmWave Radar Data from 2D Videos for Generalized Gesture Recognition—0
GaitPrivacyON: Privacy-Preserving Mobile Gait Biometrics using Unsupervised Learning—0
GANcrop: A Contrastive Defense Against Backdoor Attacks in Federated Learning—0
Gaussian Mechanisms Against Statistical Inference: Synthesis Tools—0
Gaussian-Smoothed Sliced Probability Divergences—0
Gaussian Splatting Feature Fields for (Privacy-Preserving) Visual Localization—0
GC-Fed: Gradient Centralized Federated Learning with Partial Client Participation—0
GCFL: A Gradient Correction-based Federated Learning Framework for Privacy-preserving CPSS—0
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning—0
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models—0
Generalization in Federated Learning: A Conditional Mutual Information Framework—0
Differentially private and decentralized randomized power method—0
CQE in Description Logics Through Instance Indistinguishability (extended version)—0
Generating Artificial Data for Private Deep Learning—0
Federated Learning and Blockchain-enabled Fog-IoT Platform for Wearables in Predictive Healthcare—0
Generating Differentially Private Datasets Using GANs—0
Differentially Private CutMix for Split Learning with Vision Transformer—0
Generating Privacy-Preserving Personalized Advice with Zero-Knowledge Proofs and LLMs—0
Generating Privacy-Preserving Process Data with Deep Generative Models—0
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead—0
Differentially Private Deep Learning with Direct Feedback Alignment—0
Backdoor Attack on Vertical Federated Graph Neural Network Learning—0
Generating synthetic transactional profiles—0
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
Differentially Private Diffusion Models Generate Useful Synthetic Images—0
Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving—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
Differentially Private Distributed Convex Optimization—0
cpSGD: Communication-efficient and differentially-private distributed SGD—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
Differentially Private Dropout—0
GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces—0
A Survey of Graph Unlearning—0
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