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1. The Randomness Complexity of Differential Privacy NSTL国家科技图书文献中心

Clement L. Canonne |  Francis E. Su... -  《16th Innovations in Theoretical Computer Science Conference,Part 1 of 3》 -  Innovations in Theoretical Computer Science Conference - 2025, - 共21页

摘要: complexity of differential privacy, i.e., how many random | , unbounded differential privacy and privacy-loss parameter | , provided the privacy-loss parameters satisfy ε, δ ≤ 1 | We initiate the study of the randomness |  bits an algorithm needs in order to generate accurate
关键词: Differential privacy |  Randomness |  Geometry

2. Differential Privacy on Trust Graphs NSTL国家科技图书文献中心

Badih Ghazi |  Ravi Kumar... -  《16th Innovations in Theoretical Computer Science Conference,Part 2 of 3》 -  Innovations in Theoretical Computer Science Conference - 2025, - 共23页

摘要:We study differential privacy (DP) in a multi |  privacy-utility trade-off than in the well-studied local | -party setting where each party only trusts a (known | ) subset of the other parties with its data. Specifically | , given a trust graph where vertices correspond to
关键词: Differential privacy |  Trust graphs |  Minimum dominating set |  Packing number

3. Quantum neural network classifier with differential privacy NSTL国家科技图书文献中心

Li, Guodong |  Yu, Fangce... -  《Physica Scripta》 - 2025,100(3) - 共15页

摘要: QNN model integrated with differential privacy |  ensure differential privacy. Our theoretical analysis |  demonstrates that in differential privacy settings, the model |  privacy leakage risks that could undermine users |  effectively protects privacy while demonstrating good
关键词: quantum computation |  quantum neural network |  differential privacy |  data re-uploading

4. Bayesian networks based on differential privacy for financial data privacy NSTL国家科技图书文献中心

Ni Li |  Jianwei Yang... -  《Third International Conference on Electrical,Electronics,and Information Engineering (EEIE 2024)》 -  International Conference on Electrical,Electronics,and Information Engineering - 2025, - 1351212.1~1351212.6 - 共6页

摘要: networks and differential privacy, innovatively | As the demand for privacy protection continues |  protecting privacy. |  to grow, ensuring effective financial data |  processing while preventing sensitive information leakage
关键词: Finance |  Bayesian network |  Differential privacy

5. FUD-LDP: Fully User Driven Local Differential Privacy NSTL国家科技图书文献中心

Gnanakumar Thedchana... |  Michael Bewong... -  《Web Information Systems Engineering - WISE 2024,Part V》 -  International Conference on Web Information Systems Engineering - 2025, - 74~83 - 共10页

摘要: statistical aggregate, Local Differential Privacy (LDP) has |  differential privacy mechanism denoted as FUD-LDP which gives |  become the de facto mechanism for preserving privacy |  enforcing a preset privacy-level for all participants |  participants with the freedom to choose privacy-levels, such
关键词: UD-LDP |  User-Driven local differential privacy |  Data collection |  Data privacy |  Differential privacy

6. Secure Two-Party Frequent Itemset Mining With Guaranteeing Differential Privacy NSTL国家科技图书文献中心

Wenjie Chen |  Haoyu Chen... -  《IEEE transactions on mobile computing》 - 2025,24(1) - 276~292 - 共17页

摘要: information. Differential privacy has been utilized in |  to the other while achieving differential privacy |  design practical methods for privacy-preserving |  individuals. However, addressing how to ensure differential |  privacy for two-party frequent itemset mining remains
关键词: Itemsets |  Data mining |  Databases |  Protocols |  Differential privacy |  Mobile computing |  Privacy

7. LDPMF: Local differential privacy enhanced matrix factorization for advanced recommendation NSTL国家科技图书文献中心

Li X. |  Zhou W.... -  《Knowledge-based systems》 - 2025,309(Jan.30) - 1.1~1.15 - 共15页

摘要: is that privacy leakage may become particularly |  easily. To cope with these challenges, differential |  privacy preservation techniques have become powerful |  tools to solve the privacy leakage problem in |  issues such as the balance between privacy protection
关键词: Differential privacy |  Matrix factorization |  Recommender system |  Theoretical analysis

8. Complex-Valued Federated Learning with Differential Privacy and MRI Applications NSTL国家科技图书文献中心

Anneliese Riess |  Alexander Ziller... -  《Medical Image Computing and Computer Assisted Intervention - MICCAI 2024 Workshops》 -  International Conference on Medical Image Computing and Computer Assisted Intervention |  International Workshop on Interpretability of Machine Intelligence in Medical Image Computing |  Workshop on Distributed,Collaborative,and Federated Learning |  Embodied AI and Robotics for HealTHcare |  International Skin Imaging Collaboration - 2025, - 191~203 - 共13页

摘要:Federated learning enhanced with Differential |  Privacy (DP) is a powerful privacy-preserving strategy | ), yielding excellent utility and privacy. Our results |  with robust privacy-preserving techniques in the MRI |  to protect individuals sharing their sensitive data
关键词: Federated learning |  Differential privacy |  Complex numbers

9. A Differential Privacy Federated Learning Approach for Diabetic Retinopathy Detection NSTL国家科技图书文献中心

Yicheng Li |  Yijia Zhang... -  《Advanced Data Mining and Applications,Part IV》 -  International Conference on Advanced Data Mining and Applications - 2025, - 186~199 - 共14页

摘要: differential privacy (DP) into our self-designed federated |  significantly reduce diagnostic time. Given the privacy |  effectively protect patient privacy is very popular. However | , attackers can still exploit privacy information through |  address privacy concerns, we introduce a novel DR
关键词: Diabetic retinopathy |  Federated learning |  Differential privacy |  Privacy protection

10. Differential Privacy, Firm-Level Data, and the Binomial Pathology NSTL国家科技图书文献中心

David D. Clark |  Simson Garfinkel... -  《IEEE security & privacy》 - 2025,23(1) - 8~16 - 共9页

摘要:Differential privacy (DP) is a privacy | -enhancing technology that is increasingly being used by |  policy makers in the United States and Europe, but it |  is not well suited to protect corporate proprietary |  information that is used to produce some kinds of aggregate
关键词: Data privacy |  Databases |  Protection |  Data models |  Computer hacking |  Differential privacy |  Pathology |  Identification of persons |  Information security |  Data security...
检索条件Differential privacy

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