Publications

51 results for Nathalie Baracaldo

The 1st International Workshop on Federated Learning with Graph Data (FedGraph)
- - Carl Yang
  - Xiaoxiao Li
  - et al.
- 2022
- CIKM 2022
Workshop on Cross-Community Federated Learning: Algorithms, Systems and Co-designs
- - Nathalie Baracaldo Angel
  - Pin-Yu Chen
  - et al.
- 2022
- MLSys 2022
Federated Unlearning: How to Efficiently Erase a Client in FL?
- - Anisa Halimi
  - Swanand Ravindra Kadhe
  - et al.
- 2022
- ICML 2022
Towards an Accountable and Reproducible Federated Learning: A FactSheets Approach
- - Nathalie Baracaldo Angel
  - Ali Anwar
  - et al.
- 2022
- arXiv
Machine Learning Security and Privacy
- - Nathalie Baracaldo
  - Alina Oprea
- 2021
- IEEE Security and Privacy
FLoRA: Single-shot Hyper-parameter Optimization for Federated Learning
- - Yi Zhou
  - Parikshit Ram
  - et al.
- 2021
- NeurIPS 2021
FedV: Privacy-Preserving Federated Learning over Vertically Partitioned Data
- - Runhua Xu
  - Nathalie Baracaldo
  - et al.
- 2021
- AISec/CCS 2021
Accountable Federated Machine Learning in Government: Engineering and Management Insights
- - Dian Balta
  - Mahdi Sellami
  - et al.
- 2021
- ePart 2021
LEGATO: A LayerwisE Gradient AggregaTiOn Algorithm for Mitigating Byzantine Attacks in Federated Learning
- - Kamala Varma
  - Yi Zhou
  - et al.
- 2021
- CLOUD 2021
DeTrust-FL: Privacy-Preserving Federated Learning in Decentralized Trust Setting
- - Runhua Xu
  - Nathalie Baracaldo
  - et al.
- 2022
- CLOUD 2022