NN-EMD: Efficiently Training Neural Networks Using Encrypted Multi-Sourced Datasets
- Runhua Xu
- James Joshi
- et al.
- 2021
- IEEE TDSC
Paper
Publications
117 results for Data and AI Security
Securing Kafka with Encryption-at-Rest
- 2021
- BigData Congress 2021
Conference paperNew Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership
- Nghia Hoang
- Lam Nguyen
- et al.
- 2021
- NeurIPS 2021
WorkshopDecentralized Collaborative Learning with Probabilistic Data Protection
- Ide-San Ide
- Raymond Harry Putra Rudy
- 2021
- SMDS 2021
Conference paperAnonymizing Machine Learning Models
- Abigail Goldsteen
- Micha Moffie
- et al.
- 2021
- ESORICS 2021
Workshop paperNext Generation Data Masking Engine
- Micha Moffie
- Dan Mor
- et al.
- 2021
- ESORICS 2021
Workshop paperData Minimization for GDPR Compliance in Machine Learning Models
- Abigail Goldsteen
- Gilad Ezov
- et al.
- 2021
- AI and Ethics
PaperSecure k-Anonymization over Encrypted Databases
- Manish Kesarwani
- Akshar Kaul
- et al.
- 2021
- CLOUD 2021
Conference paperPerun: Confidential Multi-Stakeholder Machine Learning Framework with Hardware Acceleration Support
- Wojciech Ozga
- Do Le Quoc
- et al.
- 2021
- IFIP DBSec 2021
Conference paperTIFF: Tokenized Incentive for Federated Learning
- Jingoo Han
- Ahmad Faraz Khan
- et al.
- 2022
- CLOUD 2022
Conference paper