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Privacy Preserving

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Showing 726–750 of 2975 papers

TitleStatusHype
Mitigating Statistical Bias within Differentially Private Synthetic Data—0
Defense Against Gradient Leakage Attacks via Learning to Obscure Data—0
Differential Privacy-Driven Framework for Enhancing Heart Disease Prediction—0
Defending Label Inference Attacks in Split Learning under Regression Setting—0
Differential privacy guarantees of Markov chain Monte Carlo algorithms—0
Differential Privacy May Have a Potential Optimization Effect on Some Swarm Intelligence Algorithms besides Privacy-preserving—0
A Distributed Differentially Private Algorithm for Resource Allocation in Unboundedly Large Settings—0
Binary Federated Learning with Client-Level Differential Privacy—0
Differential Privacy of Quantum and Quantum-Inspired-Classical Recommendation Algorithms—0
A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model—0
Defending against Reconstruction Attack in Vertical Federated Learning—0
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation—0
Differential Private Knowledge Transfer for Privacy-Preserving Cross-Domain Recommendation—0
Differential Private Stack Generalization with an Application to Diabetes Prediction—0
Difficulty in estimating visual information from randomly sampled images—0
DiffUMI: Training-Free Universal Model Inversion via Unconditional Diffusion for Face Recognition—0
Disentangling the Linguistic Competence of Privacy-Preserving BERT—0
AdpQ: A Zero-shot Calibration Free Adaptive Post Training Quantization Method for LLMs—0
Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning—0
Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation—0
2P-DNN : Privacy-Preserving Deep Neural Networks Based on Homomorphic Cryptosystem—0
Distilling On-Device Intelligence at the Network Edge—0
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment—0
DISTINQT: A Distributed Privacy Aware Learning Framework for QoS Prediction for Future Mobile and Wireless Networks—0
DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning—0
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