opp/ai: Optimistic Privacy-Preserving AI on Blockchain
Fuente:
arXiv
Saved in:
| Main Authors: | So, Cathie, Conway, KD, Yu, Xiaohang, Yao, Suning, Wong, Kartin |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
opML: Optimistic Machine Learning on Blockchain
by: Conway, KD, et al.
Published: (2024)
by: Conway, KD, et al.
Published: (2024)
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare
by: Nawaz, Anum, et al.
Published: (2025)
by: Nawaz, Anum, et al.
Published: (2025)
PrivaDE: Privacy-preserving Data Evaluation for Blockchain-based Data Marketplaces
by: Wong, Wan Ki, et al.
Published: (2025)
by: Wong, Wan Ki, et al.
Published: (2025)
Privacy-Preserving in Blockchain-based Federated Learning Systems
by: M., Sameera K., et al.
Published: (2024)
by: M., Sameera K., et al.
Published: (2024)
Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
by: Sahani, Mukesh, et al.
Published: (2025)
by: Sahani, Mukesh, et al.
Published: (2025)
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
by: Jin, Weizhao, et al.
Published: (2023)
by: Jin, Weizhao, et al.
Published: (2023)
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks
by: Ali, Ramy E., et al.
Published: (2020)
by: Ali, Ramy E., et al.
Published: (2020)
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation
by: Jiang, Yu, et al.
Published: (2024)
by: Jiang, Yu, et al.
Published: (2024)
Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment
by: Nawaz, Anum, et al.
Published: (2025)
by: Nawaz, Anum, 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)
Privacy-Preserving EHR Data Transformation via Geometric Operators: A Human-AI Co-Design Technical Report
by: Wang, Maolin, et al.
Published: (2026)
by: Wang, Maolin, et al.
Published: (2026)
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)
Social-Aware Clustered Federated Learning with Customized Privacy Preservation
by: Wang, Yuntao, et al.
Published: (2022)
by: Wang, Yuntao, et al.
Published: (2022)
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 Hierarchical Model-Distributed Inference
by: Dehkordi, Fatemeh Jafarian, et al.
Published: (2024)
by: Dehkordi, Fatemeh Jafarian, et al.
Published: (2024)
Privacy-Preserving Inference for Quantized BERT Models
by: Lu, Tianpei, et al.
Published: (2025)
by: Lu, Tianpei, et al.
Published: (2025)
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)
Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM
by: Xie, Chulin, et al.
Published: (2022)
by: Xie, Chulin, et al.
Published: (2022)
The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning
by: Wei, Yu, et al.
Published: (2023)
by: Wei, Yu, et al.
Published: (2023)
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)
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)
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)
Preserving Node-level Privacy in Graph Neural Networks
by: Xiang, Zihang, et al.
Published: (2023)
by: Xiang, Zihang, et al.
Published: (2023)
Privacy-Preserving Generative Models: A Comprehensive Survey
by: Padariya, Debalina, et al.
Published: (2025)
by: Padariya, Debalina, et al.
Published: (2025)
Privacy-Preserving 3-Layer Neural Network Training
by: Chiang, John
Published: (2023)
by: Chiang, John
Published: (2023)
GOD model: Privacy Preserved AI School for Personal Assistant
by: PIN AI Team, et al.
Published: (2025)
by: PIN AI Team, et al.
Published: (2025)
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning
by: Hayati, Haleh, et al.
Published: (2024)
by: Hayati, Haleh, et al.
Published: (2024)
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)
Learning Robust and Privacy-Preserving Representations via Information Theory
by: Zhang, Binghui, et al.
Published: (2024)
by: Zhang, Binghui, et al.
Published: (2024)
Efficient Privacy-Preserving KAN Inference Using Homomorphic Encryption
by: Lai, Zhizheng, et al.
Published: (2024)
by: Lai, Zhizheng, 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)
Privacy-Preserving Mechanisms Enable Cheap Verifiable Inference of LLMs
by: Pal, Arka, et al.
Published: (2026)
by: Pal, Arka, et al.
Published: (2026)
DDP-SA: Scalable Privacy-Preserving Federated Learning via Distributed Differential Privacy and Secure Aggregation
by: Wei, Wenjing, et al.
Published: (2026)
by: Wei, Wenjing, et al.
Published: (2026)
Privacy Preserving Adaptive Experiment Design
by: Li, Jiachun, et al.
Published: (2024)
by: Li, Jiachun, et al.
Published: (2024)
Similar Items
-
opML: Optimistic Machine Learning on Blockchain
by: Conway, KD, et al.
Published: (2024) -
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare
by: Nawaz, Anum, et al.
Published: (2025) -
PrivaDE: Privacy-preserving Data Evaluation for Blockchain-based Data Marketplaces
by: Wong, Wan Ki, et al.
Published: (2025) -
Privacy-Preserving in Blockchain-based Federated Learning Systems
by: M., Sameera K., et al.
Published: (2024) -
Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
by: Sahani, Mukesh, et al.
Published: (2025)