Cover Image

Towards Privacy-Aware Bayesian Networks: A Credal Approach

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Rocchi, Niccolò, Stella, Fabio, de Campos, Cassio
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Credal Learning Theory
by: Caprio, Michele, et al.
Published: (2024)

Credal Ensemble Distillation for Uncertainty Quantification
by: Wang, Kaizheng, et al.
Published: (2025)

Quantification of Credal Uncertainty: A Distance-Based Approach
by: Gonzalez-Garcia, Xabier, et al.
Published: (2026)

Credal Wrapper of Model Averaging for Uncertainty Estimation in Classification
by: Wang, Kaizheng, et al.
Published: (2024)

CreINNs: Credal-Set Interval Neural Networks for Uncertainty Estimation in Classification Tasks
by: Wang, Kaizheng, et al.
Published: (2024)

On the Relationship between Bayesian Networks and Probabilistic Structural Causal Models
by: Lucas, Peter J. F., et al.
Published: (2026)

LUME-DBN: Full Bayesian Learning of DBNs from Incomplete data in Intensive Care
by: Pirola, Federico, et al.
Published: (2025)

Credal Concept Bottleneck Models: Structural Separation of Epistemic and Aleatoric Uncertainty
by: Mukherjee, Tanmoy, et al.
Published: (2026)

Distilling Calibration via Conformalized Credal Inference
by: Huang, Jiayi, et al.
Published: (2025)

Probabilistic Circuits with Constraints via Convex Optimization
by: Ghandi, Soroush, et al.
Published: (2024)

Soft Learning Probabilistic Circuits
by: Ghandi, Soroush, et al.
Published: (2024)

Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
by: Gala, Gennaro, et al.
Published: (2024)

Bayesian Kolmogorov Arnold Networks (Bayesian_KANs): A Probabilistic Approach to Enhance Accuracy and Interpretability
by: Hassan, Masoud Muhammed
Published: (2024)

Continuous Mixtures of Tractable Probabilistic Models
by: Correia, Alvaro H. C., et al.
Published: (2022)

Membership Privacy Risks of Sharpness Aware Minimization
by: Kim, Young In, et al.
Published: (2023)

Conditional Idempotent Generative Networks
by: Ronchetti, Niccolò
Published: (2024)

Mitigating Prior Errors in Causal Structure Learning: A Resilient Approach via Bayesian Networks
by: Chen, Lyuzhou, et al.
Published: (2023)

Towards Energy-Aware Federated Learning via MARL: A Dual-Selection Approach for Model and Client
by: Xia, Jun, et al.
Published: (2024)

Bayesian Flow Networks
by: Graves, Alex, et al.
Published: (2023)

When Do Credal Sets Stabilize? Fixed-Point Theorems for Credal Set Updates
by: Caprio, Michele, et al.
Published: (2025)

Federated Learning with Differential Privacy: An Utility-Enhanced Approach
by: Ranaweera, Kanishka, et al.
Published: (2025)

tBayes-MICE: A Bayesian Approach to Multiple Imputation for Time Series Data
by: Ibenegbu, Amuche, et al.
Published: (2026)

Forgetful but Faithful: A Cognitive Memory Architecture and Benchmark for Privacy-Aware Generative Agents
by: Alqithami, Saad
Published: (2025)

Bayesian-Symbolic Integration for Uncertainty-Aware Parking Prediction
by: Nezhadettehad, Alireza, et al.
Published: (2026)

PWC-MoE: Privacy-Aware Wireless Collaborative Mixture of Experts
by: Su, Yang, et al.
Published: (2025)

Federated Latent Factor Model for Bias-Aware Recommendation with Privacy-Preserving
by: Gao, Junxiang, et al.
Published: (2025)

Precise Bayesian Neural Networks
by: Brito, Carlos Stein
Published: (2025)

Semi Supervised Heterogeneous Domain Adaptation via Disentanglement and Pseudo-Labelling
by: Dantas, Cassio F., et al.
Published: (2024)

Joint Link Adaptation and Device Scheduling Approach for URLLC Industrial IoT Network: A DRL-based Method with Bayesian Optimization
by: Gao, Wei, et al.
Published: (2025)

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks
by: Grillo, Niccolò, et al.
Published: (2025)

On the Privacy Risks of Spiking Neural Networks: A Membership Inference Analysis
by: Guan, Junyi, et al.
Published: (2025)

BARNN: A Bayesian Autoregressive and Recurrent Neural Network
by: Coscia, Dario, et al.
Published: (2025)

A Note on Bayesian Networks with Latent Root Variables
by: Zaffalon, Marco, et al.
Published: (2024)

Intervention and Conditioning in Causal Bayesian Networks
by: Galhotra, Sainyam, et al.
Published: (2024)

Towards Reliable, Uncertainty-Aware Alignment
by: Banerjee, Debangshu, et al.
Published: (2025)

Practical Battery Health Monitoring using Uncertainty-Aware Bayesian Neural Network
by: Zhao, Yunyi, et al.
Published: (2024)

BACSA: A Bias-Aware Client Selection Algorithm for Privacy-Preserving Federated Learning in Wireless Healthcare Networks
by: Yadav, Sushilkumar, et al.
Published: (2024)

Bayesian Neural Networks: A Min-Max Game Framework
by: Hong, Junping, et al.
Published: (2023)

Stochastic Weight Sharing for Bayesian Neural Networks
by: Lin, Moule, et al.
Published: (2025)

Full Bayesian Significance Testing for Neural Networks
by: Liu, Zehua, et al.
Published: (2024)