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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86 results for Data and AI Security

An Extensible De-Identification Framework for Privacy Protection of Unstructured Health Information: Creating Sustainable Privacy Infrastructures
- - Stefano Braghin
  - Joao Bettencourt-Silva
  - et al.
- 2019
- MEDINFO 2019
Adaptive Histogram-based Gradient Boosted Trees For Federated Learning
- - Yuya Jeremy Ong
  - Yi Zhou
  - et al.
- 2020
- INFORMS 2020
Pragmatic De-Identification of Cross-Domain Unstructured Documents: A Utility-Preserving Approach with Relation Extraction Filtering
- - Liubov Nedoshivina
  - Anisa Halimi
  - et al.
- 2024
- AMIA Informatics Symposium 2024
The Devil is in the GAN: Backdoor Attacks and Defenses in Deep Generative Models
- - Ambrish Rawat
  - Killian Levacher
  - et al.
- 2022
- ESORICS 2022
A Utility-Preserving De-Identification Approach with Relation Extraction Filtering
- - Liubov Nedoshivina
  - Anisa Halimi
  - et al.
- 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