Efficient error-correcting output codes for adversarial learning robustness
Despite their many successful applications, Deep Neural Networks (DNNs) are vulnerable to
intentionally designed adversarial examples. Adversarial robustness describes the ability of …
intentionally designed adversarial examples. Adversarial robustness describes the ability of …
Efficient error-correcting output codes for adversarial learning robustness
L Wan, T Alpcan, E Viterbo… - … on Communications 2022, 2022 - research.monash.edu
Despite their many successful applications, Deep Neural Networks (DNNs) are vulnerable to
intentionally designed adversarial examples. Adversarial robustness describes the ability of …
intentionally designed adversarial examples. Adversarial robustness describes the ability of …
[引用][C] Efficient error-correcting output codes for adversarial learning robustness
L Wan, T Alpcan, E Viterbo, M Kuijper - research.monash.edu
Efficient error-correcting output codes for adversarial learning robustness – Prizes — Monash
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