All Projects
Intelligent Systems / SecurityOngoing
Adversarial Robustness in Machine Learning
Research on robustness of machine learning models under adversarial conditions.
Motivation
Machine learning models are vulnerable to adversarial perturbations that can cause mispredictions. This project studies robustness properties of machine learning systems and develops methods for improving resilience under adversarial conditions.
Related Publications
- Deep Forest Adversarial Robustness
- Data Poisoning in Multi-party Learning