Publications

62 results for AI Privacy

Generating One-Hot Maps under Encryption
- - Ehud Aharoni
  - Nir Drucker
  - et al.
- 2023
- CSCML 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Decision Tree Models
- - Abdullah Caglar Oksuz
  - Anisa Halimi
  - et al.
- 2023
- NDSS 2023
Reprogrammable-FL: Improving Utility-Privacy Tradeoff in Federated Learning via Model Reprogramming
- - Huzaifa Arif
  - Alex Gittens
  - et al.
- 2023
- IEEE SaTML 2023
Federated Continual Learning with Differentially Private Data Sharing
- - Giulio Zizzo
  - Ambrish Rawat
  - et al.
- 2022
- NeurIPS 2022
Verifiable Federated Learning
- - Simone Bottoni
  - Giulio Zizzo
  - et al.
- 2022
- NeurIPS 2022
Robust Learning Protocol for Federated Tumor Segmentation Challenge
- - Ambrish Rawat
  - Giulio Zizzo
  - et al.
- 2022
- MICCAI 2022
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
- - Nathalie Baracaldo Angel
  - Ali Anwar
  - et al.
- 2022
- arXiv
NN-EMD: Efficiently Training Neural Networks Using Encrypted Multi-Sourced Datasets
- - Runhua Xu
  - James Joshi
  - et al.
- 2021
- IEEE TDSC
Artificial Intelligence for Mental Health Care: Clinical Applications, Barriers, Facilitators, and Artificial Wisdom
- - Ellen E. Lee
  - John Torous
  - et al.
- 2021
- Biological Psychiatry
Differentially Private Stochastic Coordinate Descent
- - Georgios Damaskinos
  - Celestine Mendler-Dünner
  - et al.
- 2021
- AAAI 2021