Saved in:
| Main Authors: | Padariya, Debalina, Wagner, Isabel, Taherkhani, Aboozar, Boiten, Eerke |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.03668 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap
by: Zaman, Zakia, et al.
Published: (2026)
by: Zaman, Zakia, et al.
Published: (2026)
Privacy-Preserving Inference for Quantized BERT Models
by: Lu, Tianpei, et al.
Published: (2025)
by: Lu, Tianpei, et al.
Published: (2025)
Privacy-Preserving Hierarchical Model-Distributed Inference
by: Dehkordi, Fatemeh Jafarian, et al.
Published: (2024)
by: Dehkordi, Fatemeh Jafarian, et al.
Published: (2024)
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
by: Dai, Enyan, et al.
Published: (2022)
by: Dai, Enyan, et al.
Published: (2022)
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)
Privacy-Preserving Generative Modeling and Clinical Validation of Longitudinal Health Records for Chronic Disease
by: Ballyk, Benjamin D., et al.
Published: (2025)
by: Ballyk, Benjamin D., et al.
Published: (2025)
Privacy-Preserving Statistical Data Generation: Application to Sepsis Detection
by: Macias-Fassio, Eric, et al.
Published: (2024)
by: Macias-Fassio, Eric, et al.
Published: (2024)
Scalable and Privacy-Preserving Synthetic Data Generation on Decentralised Web
by: Ramesh, Vishal, et al.
Published: (2023)
by: Ramesh, Vishal, et al.
Published: (2023)
A Survey of Privacy-Preserving Model Explanations: Privacy Risks, Attacks, and Countermeasures
by: Nguyen, Thanh Tam, et al.
Published: (2024)
by: Nguyen, Thanh Tam, et al.
Published: (2024)
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
by: Tang, Xinyu, et al.
Published: (2023)
by: Tang, Xinyu, et al.
Published: (2023)
Agentic Privacy-Preserving Machine Learning
by: Zhang, Mengyu, et al.
Published: (2025)
by: Zhang, Mengyu, et al.
Published: (2025)
Data Privacy Preservation on the Internet of Things
by: Sen, Jaydip, et al.
Published: (2023)
by: Sen, Jaydip, et al.
Published: (2023)
Preserving Privacy and Security in Federated Learning
by: Nguyen, Truc, et al.
Published: (2022)
by: Nguyen, Truc, et al.
Published: (2022)
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
ObCLIP: Oblivious CLoud-Device Hybrid Image Generation with Privacy Preservation
by: Wu, Haoqi, et al.
Published: (2025)
by: Wu, Haoqi, et al.
Published: (2025)
Secure and Privacy-Preserving Federated Learning for Next-Generation Underground Mine Safety
by: Elmahallawy, Mohamed, et al.
Published: (2025)
by: Elmahallawy, Mohamed, et al.
Published: (2025)
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models
by: Shi, Haonan, et al.
Published: (2025)
by: Shi, Haonan, et al.
Published: (2025)
Privacy-Preserving Customer Churn Prediction Model in the Context of Telecommunication Industry
by: Sana, Joydeb Kumar, et al.
Published: (2024)
by: Sana, Joydeb Kumar, et al.
Published: (2024)
Privacy-Preserving Vertical K-Means Clustering
by: Mazzone, Federico, et al.
Published: (2025)
by: Mazzone, Federico, et al.
Published: (2025)
Privacy-Preserving Fair Synthetic Tabular Data
by: Sarmin, Fatima J., et al.
Published: (2025)
by: Sarmin, Fatima J., et al.
Published: (2025)
Privacy Preservation through Practical Machine Unlearning
by: Dilworth, Robert
Published: (2025)
by: Dilworth, Robert
Published: (2025)
Privacy Preserving Reinforcement Learning for Population Processes
by: Yang-Zhao, Samuel, et al.
Published: (2024)
by: Yang-Zhao, Samuel, et al.
Published: (2024)
Privacy-Preserving Video Anomaly Detection: A Survey
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Privacy-Preserving Offloading for Large Language Models in 6G Vehicular Networks
by: Badidi, Ikhlasse, et al.
Published: (2025)
by: Badidi, Ikhlasse, et al.
Published: (2025)
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference
by: Luo, Jinglong, et al.
Published: (2024)
by: Luo, Jinglong, et al.
Published: (2024)
A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises
by: Fotohi, Reza, et al.
Published: (2025)
by: Fotohi, Reza, et al.
Published: (2025)
Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Framework
by: Cartmell, John, et al.
Published: (2026)
by: Cartmell, John, et al.
Published: (2026)
Preserving Node-level Privacy in Graph Neural Networks
by: Xiang, Zihang, et al.
Published: (2023)
by: Xiang, Zihang, et al.
Published: (2023)
Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering
by: Ghasemian, Maryam, et al.
Published: (2024)
by: Ghasemian, Maryam, et al.
Published: (2024)
Privacy-Preserving Verifiable Neural Network Inference Service
by: Riasi, Arman, et al.
Published: (2024)
by: Riasi, Arman, et al.
Published: (2024)
Privacy-Preserving 3-Layer Neural Network Training
by: Chiang, John
Published: (2023)
by: Chiang, John
Published: (2023)
Automated Privacy-Preserving Techniques via Meta-Learning
by: Carvalho, Tânia, et al.
Published: (2024)
by: Carvalho, Tânia, et al.
Published: (2024)
Preserving Expert-Level Privacy in Offline Reinforcement Learning
by: Sharma, Navodita, et al.
Published: (2024)
by: Sharma, Navodita, et al.
Published: (2024)
opp/ai: Optimistic Privacy-Preserving AI on Blockchain
by: So, Cathie, et al.
Published: (2024)
by: So, Cathie, et al.
Published: (2024)
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation
by: Jiang, Yu, et al.
Published: (2024)
by: Jiang, Yu, et al.
Published: (2024)
Preserving Privacy in Large Language Models: A Survey on Current Threats and Solutions
by: Miranda, Michele, et al.
Published: (2024)
by: Miranda, Michele, et al.
Published: (2024)
Privacy-Preserving Logistic Regression Training with A Faster Gradient Variant
by: Chiang, John
Published: (2022)
by: Chiang, John
Published: (2022)
Attacks and Defenses for Generative Diffusion Models: A Comprehensive Survey
by: Truong, Vu Tuan, et al.
Published: (2024)
by: Truong, Vu Tuan, et al.
Published: (2024)
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations
by: Westrich, Benjamin
Published: (2025)
by: Westrich, Benjamin
Published: (2025)
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models
by: Ahmadi, Kasra, et al.
Published: (2025)
by: Ahmadi, Kasra, et al.
Published: (2025)
Similar Items
-
Privacy-Preserving Machine Learning for IoT: A Cross-Paradigm Survey and Future Roadmap
by: Zaman, Zakia, et al.
Published: (2026) -
Privacy-Preserving Inference for Quantized BERT Models
by: Lu, Tianpei, et al.
Published: (2025) -
Privacy-Preserving Hierarchical Model-Distributed Inference
by: Dehkordi, Fatemeh Jafarian, et al.
Published: (2024) -
A Comprehensive Survey on Trustworthy Graph Neural Networks: Privacy, Robustness, Fairness, and Explainability
by: Dai, Enyan, et al.
Published: (2022) -
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)