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Privacy Preserving

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Showing 2051–2075 of 2975 papers

TitleStatusHype
On Privacy Protection of Latent Dirichlet Allocation Model Training—0
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise—0
On the Conflict of Robustness and Learning in Collaborative Machine Learning—0
On the Convergence of Zeroth-Order Federated Tuning for Large Language Models—0
On the design of stabilizing FIR controllers—0
On the effects of similarity metrics in decentralized deep learning under distributional shift—0
On the Federated Learning Framework for Cooperative Perception—0
On the Impact of Output Perturbation on Fairness in Binary Linear Classification—0
On the Impact of Side Information on Smart Meter Privacy-Preserving Methods—0
The Inadequacy of Similarity-based Privacy Metrics: Privacy Attacks against "Truly Anonymous" Synthetic Datasets—0
On the Inherent Privacy Properties of Discrete Denoising Diffusion Models—0
On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models—0
On the Privacy-Preserving Properties of Spiking Neural Networks with Unique Surrogate Gradients and Quantization Levels—0
On the Privacy-Utility Tradeoff in Peer-Review Data Analysis—0
On the security of randomly transformed quadratic programs for privacy-preserving cloud-based control—0
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis—0
On the Usefulness of Synthetic Tabular Data Generation—0
On the utility and protection of optimization with differential privacy and classic regularization techniques—0
Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare—0
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives—0
Open-Source LLM-Driven Federated Transformer for Predictive IoV Management—0
opp/ai: Optimistic Privacy-Preserving AI on Blockchain—0
Optimal Allocation of Privacy Budget on Hierarchical Data Release—0
Optimal and Private Learning from Human Response Data—0
Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints—0
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