65 citations · 73 across the 11 of their papers we have counts for
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cs.SE2026
Provably Lossless Acceleration of DNN Mutation Testing via Memoization
Ali Ghanbari, Ben Greenman, Sasan Tavakkol +1
Mutation analysis has recently reemerged in the context of deep neural networks (DNNs) as a promising, but notoriously costly, approach for assessing test dataset adequacy. Existin…
cs.SE2025
Using Fourier Analysis and Mutant Clustering to Accelerate DNN Mutation Testing
Ali Ghanbari, Sasan Tavakkol
Deep neural network (DNN) mutation analysis is a promising approach to evaluating test set adequacy. Due to the large number of generated mutants that must be tested on large datas…