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06/29/2023
Scaling Model Checking for DNN Analysis via State-Space Reduction and Input Segmentation (Extended Version)
Owing to their remarkable learning capabilities and performance in real-...
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03/29/2023
Poster: Link between Bias, Node Sensitivity and Long-Tail Distribution in trained DNNs
Owing to their remarkable learning (and relearning) capabilities, deep n...
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02/24/2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks
Performance of trained neural network (NN) models, in terms of testing a...
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01/04/2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead
Machine Learning (ML) techniques have been rapidly adopted by smart Cybe...
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12/03/2019