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cs.LG2021★ 1 cited
Attack-Centric Approach for Evaluating Transferability of Adversarial Samples in Machine Learning Models
Tochukwu Idika, Ismail Akturk
Transferability of adversarial samples became a serious concern due to their impact on the reliability of machine learning system deployments, as they find their way into many crit…
cs.LG2020
Weight Update Skipping: Reducing Training Time for Artificial Neural Networks
Pooneh Safayenikoo, Ismail Akturk
Artificial Neural Networks (ANNs) are known as state-of-the-art techniques in Machine Learning (ML) and have achieved outstanding results in data-intensive applications, such as re…