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Privacy Preserving

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Showing 1301–1325 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
FRAMU: Attention-based Machine Unlearning using Federated Reinforcement 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
CQE in Description Logics Through Instance Indistinguishability (extended version)—0
Federated Learning and Blockchain-enabled Fog-IoT Platform for Wearables in Predictive Healthcare—0
Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving—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
cpSGD: Communication-efficient and differentially-private distributed SGD—0
A Survey of Graph Unlearning—0
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