A Post-training Framework for Improving the Performance of Deep Learning Models via Model Transformation
Deep learning (DL) techniques have attracted much attention in recent years and have been
applied to many application scenarios. To improve the performance of DL models regarding …
applied to many application scenarios. To improve the performance of DL models regarding …
Technical Briefing on Deep Neural Network Repair
Deep Neural Networks (DNNs) are used for different tasks in many domains, some safety
critical like autonomous driving. When in operation, the DNN could misbehave on some …
critical like autonomous driving. When in operation, the DNN could misbehave on some …
Federated Repair of Deep Neural Networks
As DNNs are embedded in more and more critical systems, it is essential to ensure that they
perform well on specific inputs. DNN repair has shown good results in fixing specific …
perform well on specific inputs. DNN repair has shown good results in fixing specific …
Search-Based Repair of DNN Controllers of AI-Enabled Cyber-Physical Systems Guided by System-Level Specifications
In AI-enabled CPSs, DNNs are used as controllers for the physical system. Despite their
advantages, DNN controllers can produce wrong control decisions, which can lead to safety …
advantages, DNN controllers can produce wrong control decisions, which can lead to safety …
More is Not Always Better: Exploring Early Repair of DNNs
DNN repair is an effective technique applied after training to enhance the class-specific
accuracy of classifier models, where a low failure rate is required on specific classes. The …
accuracy of classifier models, where a low failure rate is required on specific classes. The …