Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates

Daniele Angioni, Luca Demetrio, Maura Pintor +4

Machine-learning models demand periodic updates to improve their average accuracy, exploiting novel architectures and additional data. However, a newly updated model may commit mis…