New Frontiers in Federated Learning: Privacy, Fairness, Robustness, Personalization and Data Ownership
- Nghia Hoang
- Lam Nguyen
- et al.
- 2021
- NeurIPS 2021
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
2nd Workshop on Data Integrity and Secure Cloud Computing (DISCC)
- Pradip Bose
- Jennifer Dworak
- et al.
- 2023
- MICRO 2023
1st Workshop on Data Integrity and Secure Cloud Computing (DISCC-2022)
- Pradip Bose
- Jennifer Dworak
- et al.
- 2022
- MICRO 2022
Advanced HE packing methods with applications to ML
- Ehud Aharoni
- Nir Drucker
- et al.
- 2022
- CCS 2022
Advances, challenges and opportunities in creating data for trustworthy AI
- Weixin Liang
- Girmaw Abebe Tadesse
- et al.
- 2022
- Nature Machine Intelligence
NN-EMD: Efficiently Training Neural Networks Using Encrypted Multi-Sourced Datasets
- Runhua Xu
- James Joshi
- et al.
- 2021
- IEEE TDSC
Complex Encoded Tile Tensors: Accelerating Encrypted Analytics
- Ehud Aharoni
- Nir Drucker
- et al.
- 2021
- IEEE Security and Privacy
A Study on the Security Implications of Information Leakages in Container Clouds
- Xing Gao
- Benjamin Steenkamer
- et al.
- 2021
- IEEE TDSC
How to Democratise and Protect AI: Fair and Differentially Private Decentralised Deep Learning
- Lingjuan Lyu
- Yitong Li
- et al.
- 2020
- IEEE TDSC
AsgLDP: Collecting and Generating Decentralized Attributed Graphs with Local Differential Privacy
- Chengkun Wei
- Shouling Ji
- et al.
- 2020
- IEEE TIFS