UM-developed autonomous driving technology presented at top conference and wins second prize at international algorithm competition
The University of Macau (UM) and the Shenzhen Institutes of Advanced Technology of the Chinese Academy of Sciences (SIAT) jointly proposed a new algorithm that can use model features and new loss function to improve the LAFEAT method of model robustness evaluation, which can achieve better results than any other model robustness evaluation method that has emerged in recent years.









