Adaptive Histogram-based Gradient Boosted Trees For Federated Learning
- Yuya Jeremy Ong
- Yi Zhou
- et al.
- 2020
- INFORMS 2020
Publications
This is our catalog of publications authored by IBM researchers, in collaboration with the global research community. It’s an ever-growing body of work that shows why IBM is one of the most important contributors to modern computing.
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85 results for Data and AI Security
Pragmatic De-Identification of Cross-Domain Unstructured Documents: A Utility-Preserving Approach with Relation Extraction Filtering
- 2024
- AMIA Informatics Symposium 2024
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models
- 2022
- ESORICS 2022
A Utility-Preserving De-Identification Approach with Relation Extraction Filtering
- 2023
- PETS 2023
E2E near-standard hybrid encryption
- Ehud Aharoni
- Nir Drucker
- et al.
- 2023
- HES 2023
An End-to-end Framework for Privacy Risk Assessment of AI Models
- Abigail Goldsteen
- Shlomit Shachor
- et al.
- 2022
- SYSTOR 2022
Applying Artificial Intelligence Privacy Technology in the Healthcare Domain
- Abigail Goldsteen
- Ariel Farkash
- et al.
- 2022
- MIE 2022
Anonymizing Machine Learning Models
- Abigail Goldsteen
- Micha Moffie
- et al.
- 2021
- ESORICS 2021
Federated XGBoost on Sample-Wise Non-IID Data
- Katelinh Jones
- Yuya Jeremy Ong
- et al.
- 2022
- Big Data 2022
DLPFS: The Data Leakage Prevention FileSystem
- Stefano Braghin
- Marco Simioni
- et al.
- 2022
- Cloud S&P 2022