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Privacy Preserving

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TitleStatusHype
Differentially Private Neural Tangent Kernels for Privacy-Preserving Data Generation—0
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees—0
Delayed Projection Techniques for Linearly Constrained Problems: Convergence Rates, Acceleration, and Applications—0
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation—0
Better Methods and Theory for Federated Learning: Compression, Client Selection and Heterogeneity—0
Differentially Private Online Learning for Cloud-Based Video Recommendation with Multimedia Big Data in Social Networks—0
A Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy—0
Analyzing the Robustness of Decentralized Horizontal and Vertical Federated Learning Architectures in a Non-IID Scenario—0
Beyond Inferring Class Representatives: User-Level Privacy Leakage From Federated Learning—0
Differentially Private Pre-Trained Model Fusion using Decentralized Federated Graph Matching—0
Towards the Anonymization of the Language Modeling—0
Differentially Private Recursive Least Squares Estimation for ARX Systems with Multi-Participants—0
Differentially Private Reinforcement Learning with Linear Function Approximation—0
Beyond Random Noise: Insights on Anonymization Strategies from a Latent Bandit Study—0
Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications—0
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation—0
Differentially Private Stochastic Gradient Descent with Low-Noise—0
Differentially Private Submodular Maximization: Data Summarization in Disguise—0
De-identification is not always enough—0
DeFL: Decentralized Weight Aggregation for Cross-silo Federated Learning—0
Differentially Private Training of Mixture of Experts Models—0
Differentially Private Variational Dropout—0
A Unified Framework for Generic, Query-Focused, Privacy Preserving and Update Summarization using Submodular Information Measures—0
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey—0
Differential Privacy and Machine Learning: a Survey and Review—0
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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