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Privacy Preserving

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Showing 651–700 of 2975 papers

TitleStatusHype
Detection of Gait Asymmetry Using Indoor Doppler Radar—0
Detekcja upadku i wybranych akcji na sekwencjach obrazów cyfrowych—0
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference—0
Development of an Edge Resilient ML Ensemble to Tolerate ICS Adversarial Attacks—0
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy—0
Devil's Hand: Data Poisoning Attacks to Locally Private Graph Learning Protocols—0
DGAR: A Unified Domain Generalization Framework for RF-Enabled Human Activity Recognition—0
Differentially Private 2D Human Pose Estimation—0
A Vertical Federated Learning Framework for Graph Convolutional Network—0
An Encryption Method of ConvMixer Models without Performance Degradation—0
Avoiding Occupancy Detection from Smart Meter using Adversarial Machine Learning—0
Differentially private and decentralized randomized power method—0
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario—0
A Wireless-Vision Dataset for Privacy Preserving Human Activity Recognition—0
Differentially Private CutMix for Split Learning with Vision Transformer—0
Differentially Private Decoding in Large Language Models—0
Differentially Private Deep Learning with Direct Feedback Alignment—0
Differentially Private Densest-k-Subgraph—0
Differentially Private Diffusion Models Generate Useful Synthetic Images—0
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition—0
De-identification is not always enough—0
Differentially-Private "Draw and Discard" Machine Learning—0
Differentially Private Dropout—0
Privacy Preserving Adaptive Experiment Design—0
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning—0
Differentially Private False Discovery Rate Control—0
Differentially Private Federated Combinatorial Bandits with Constraints—0
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning—0
Differentially Private Federated Learning without Noise Addition: When is it Possible?—0
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures—0
Differentially Private Federated Learning: A Systematic Review—0
Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation—0
Bayesian Federated Learning: A Survey—0
Differentially Private GANs for Generating Synthetic Indoor Location Data—0
Differentially Private Graph Neural Network with Importance-Grained Noise Adaption—0
Differentially-Private Heat and Electricity Markets Coordination—0
Privacy-Preserving In-Context Learning for Large Language Models—0
Differentially Private Iterative Screening Rules for Linear Regression—0
BCGS: Blockchain-assisted privacy-preserving cross-domain authentication for VANETs—0
Differentially private k-means clustering via exponential mechanism and max cover—0
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation—0
Differentially Private Language Models Benefit from Public Pre-training—0
Benchmarking Federated Machine Unlearning methods for Tabular Data—0
Differentially Private Learning with Per-Sample Adaptive Clipping—0
Differentially-Private Logistic Regression for Detecting Multiple-SNP Association in GWAS Databases—0
Differentially Private Matrix Completion Revisited—0
Benchmarking Mutual Information-based Loss Functions in Federated Learning—0
Defense Against Gradient Leakage Attacks via Learning to Obscure Data—0
Differentially Private M-Estimators—0
Defending Label Inference Attacks in Split Learning under Regression Setting—0
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