Publications

This is our catalog of recent publications authored by IBM researchers, in collaboration with the global research community. We’re currently adding our back catalog of more than 110,000 publications. 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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Adversarial Robustness and Privacy

Year

170 results for Adversarial Robustness and Privacy

Practical Adversarial Robustness in Deep Learning: Problems and Solutions
- - Pin-Yu Chen
  - Sayak Paul
- 2021
- CVPR 2021
Optimization problems for machine learning: A survey
- - Claudio Gambella
  - Bissan Ghaddar
  - et al.
- 2021
- EJOR
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications
- - Sijia Liu
  - Pin-Yu Chen
  - et al.
- 2020
- IEEE SPM
Adversarial Robustness Toolbox v1.0.0
- - Maria-irina Nicolae
  - Mathieu Sinn
  - et al.
- 2019
- arXiv
RAPA-convNets: Modified convolutional networks for accelerated training on architectures with analog arrays
- - Malte J. Rasch
  - Tayfun Gokmen
  - et al.
- 2019
- Frontiers in Neuroscience
Detecting and Mitigating Adversarial Perturbations for Robust Face Recognition
- - Gaurav Goswami
  - Akshay Agarwal
  - et al.
- 2019
- IJCV
Efficient ConvNets for Analog Arrays
- - Malte Rasch
  - Tayfun Gokmen
  - et al.
- 2018
- arXiv
How to Backdoor Diffusion Models?
- - Sheng-yen Cho
  - Pin-Yu Chen
  - et al.
- 2023
- CVPR 2023
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations
- - Lei Hsiung
  - Yun-yun Tsai
  - et al.
- 2023
- CVPR 2023
Trustworthy AI in the Era of Foundation Models
- - Pin-Yu Chen
  - Chaowei Xiao
- 2023
- CVPR 2023