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Found 3 papers, 1 papers with code
Supporting Safety Analysis of Image-processing DNNs through Clustering-based Approaches
In our previous work, we proposed a white-box approach (HUDD) and a black-box approach (SAFE) to automatically characterize DNN failures.
Improved Multi-objective Data Stream Clustering with Time and Memory Optimization
The experiments show the ability of our method to partition the data stream in arbitrarily shaped, compact, and well-separated clusters while optimizing the time and memory.
Black-box Safety Analysis and Retraining of DNNs based on Feature Extraction and Clustering
Experimental results show the superior ability of SAFE in identifying different root causes of DNN errors based on case studies in the automotive domain.
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