Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Chew, Hong Gunn"'
Autor:
Simpson, Lachlan, Costanza, Federico, Millar, Kyle, Cheng, Adriel, Lim, Cheng-Chew, Chew, Hong Gunn
Adversarial attacks on explainability models have drastic consequences when explanations are used to understand the reasoning of neural networks in safety critical systems. Path methods are one such class of attribution methods susceptible to adversa
Externí odkaz:
http://arxiv.org/abs/2407.16233
Explainability models are now prevalent within machine learning to address the black-box nature of neural networks. The question now is which explainability model is most effective. Probabilistic Lipschitzness has demonstrated that the smoothness of
Externí odkaz:
http://arxiv.org/abs/2402.18863
The need for improved network situational awareness has been highlighted by the growing complexity and severity of cyber-attacks. Mobile phones pose a significant risk to network situational awareness due to their dynamic behaviour and lack of visibi
Externí odkaz:
http://arxiv.org/abs/2309.08158
Publikováno v:
2016 Australasian Universities Power Engineering Conference (AUPEC); 2016, p1-6, 6p
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.