Image de couverture de livre

Onto-DP: Constructing Neighborhoods for Differential Privacy on Ontological Databases

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Hayder, Yasmine, Boiret, Adrien, Eichler, Cédric, Nguyen, Benjamin
Format:	Preprint
Publié:	2026
Sujets:	Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Inferring Sensitive Attributes from Knowledge Graph Embeddings: Attack and Defense Strategies
par: Hayder, Yasmine
Publié: (2026)

DP-SMOTE: Integrating Differential Privacy and Oversampling Technique to Preserve Privacy in Smart Homes
par: Elsayed, Amr Tarek, et autres
Publié: (2025)

Adversarially Robust Bloom Filters: Privacy, Reductions, and Open Problems
par: Tirmazi, Hayder
Publié: (2025)

FairDP: Certified Fairness with Differential Privacy
par: Tran, Khang, et autres
Publié: (2023)

SMA-DP: Spectral Memory-Aware Differential Privacy for Deep Learning
par: Partohaghighi, Mohammad, et autres
Publié: (2026)

DP-BART for Privatized Text Rewriting under Local Differential Privacy
par: Igamberdiev, Timour, et autres
Publié: (2023)

DP-GENG : Differentially Private Dataset Distillation Guided by DP-Generated Data
par: Shi, Shuo, et autres
Publié: (2025)

DP-S4S: Accurate and Scalable Select-Join-Aggregate Query Processing with User-Level Differential Privacy
par: Qiu, Yuan, et autres
Publié: (2026)

Gaussian DP for Reporting Differential Privacy Guarantees in Machine Learning
par: Gomez, Juan Felipe, et autres
Publié: (2025)

Nob-MIAs: Non-biased Membership Inference Attacks Assessment on Large Language Models with Ex-Post Dataset Construction
par: Eichler, Cédric, et autres
Publié: (2024)

SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy
par: Nahid, Md Mahadi Hasan, et autres
Publié: (2024)

Whistledown: Combining User-Level Privacy with Conversational Coherence in LLMs
par: McMurray, Chelsea, et autres
Publié: (2025)

Privacy Enhanced PEFT: Tensor Train Decomposition Improves Privacy Utility Tradeoffs under DP-SGD
par: Kunwar, Pradip, et autres
Publié: (2026)

SemDP: Semantic-level Differential Privacy Protection for Face Datasets
par: Zhang, Xiaoting, et autres
Publié: (2024)

Revisiting Privacy-Utility Trade-off for DP Training with Pre-existing Knowledge
par: Zheng, Yu, et autres
Publié: (2024)

Q-ShiftDP: A Differentially Private Parameter-Shift Rule for Quantum Machine Learning
par: Ngo, Hoang M., et autres
Publié: (2026)

Elephants Do Not Forget: Differential Privacy with State Continuity for Privacy Budget
par: Jin, Jiankai, et autres
Publié: (2024)

Local Differential Privacy with Correlated Noise Achieves Central-DP Optimal Cost
par: Pathegama, Madhura, et autres
Publié: (2026)

DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum
par: Gu, Xiaolan, et autres
Publié: (2023)

LSM Trees in Adversarial Environments
par: Tirmazi, Hayder
Publié: (2025)

Optimal conversion from Rényi Differential Privacy to $f$-Differential Privacy
par: Riess, Anneliese, et autres
Publié: (2026)

Rethinking the Security of DP-SGD: A Corrected Analysis of Differentially Private Machine Learning
par: Wang, Wenhao, et autres
Publié: (2026)

DP-RuL: Differentially-Private Rule Learning for Clinical Decision Support Systems
par: Lamp, Josephine, et autres
Publié: (2024)

Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD
par: Ertan, Murat Bilgehan, et autres
Publié: (2026)

SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data
par: Zhou, Yan, et autres
Publié: (2025)

Verifiable Differential Privacy
par: Biswas, Ari, et autres
Publié: (2022)

On the Differential Privacy and Interactivity of Privacy Sandbox Reports
par: Ghazi, Badih, et autres
Publié: (2024)

DP-LDMs: Differentially Private Latent Diffusion Models
par: Liu, Michael F., et autres
Publié: (2023)

DP-KAN: Differentially Private Kolmogorov-Arnold Networks
par: Kalinin, Nikita P., et autres
Publié: (2024)

Contrastive Explainable Clustering with Differential Privacy
par: Nguyen, Dung, et autres
Publié: (2024)

DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models
par: Saifullah, Saifullah, et autres
Publié: (2025)

Are We There Yet? Timing and Floating-Point Attacks on Differential Privacy Systems
par: Jin, Jiankai, et autres
Publié: (2021)

Protecting User Prompts Via Character-Level Differential Privacy
par: Arachchige, Shashie Dilhara Batan, et autres
Publié: (2026)

Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
par: Cebere, Tudor, et autres
Publié: (2024)

Verified Foundations for Differential Privacy
par: de Medeiros, Markus, et autres
Publié: (2024)

Differential Privacy Made Easy
par: Aitsam, Muhammad
Publié: (2022)

Differential Privacy for Network Assortativity
par: Ma, Fei, et autres
Publié: (2025)

Practical Considerations for Differential Privacy
par: Amin, Kareem, et autres
Publié: (2024)

Network-Aware Differential Privacy
par: Li, Zhou, et autres
Publié: (2025)

DP-SAPF: Saliency-Aware Parameter Fine-tuning of Public Models for Differentially Private Image Synthesis
par: Gong, Chen, et autres
Publié: (2026)