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cs.LG2022
Resisting Adversarial Attacks in Deep Neural Networks using Diverse Decision Boundaries
Manaar Alam, Shubhajit Datta, Debdeep Mukhopadhyay +2
The security of deep learning (DL) systems is an extremely important field of study as they are being deployed in several applications due to their ever-improving performance to so…
cs.LG2021
Guardian of the Ensembles: Introducing Pairwise Adversarially Robust Loss for Resisting Adversarial Attacks in DNN Ensembles
Shubhi Shukla, Subhadeep Dalui, Manaar Alam +4
Adversarial attacks rely on transferability, where an adversarial example (AE) crafted on a surrogate classifier tends to mislead a target classifier. Recent ensemble methods demon…