Zero-day adversarial examples are created with new test data and are unknown to the classifier; hence, they represent a more significant threat to DNNs. To the ...
The Carlini method was used for a state-of-the-art attack, while an adversarial training method was used as a typical defense method. We used the MNIST dataset ...
Therefore, in this study, zero-day adversarial examples are practically analyzed with an emphasis on attack and defense methods through experiments using ...
Zero-day attacks pose a significant challenge to traditional signature-based malware detection systems, as they exploit vulnerabilities that are unknown to all.
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May 11, 2020 · POSTER: Zero-Day Evasion Attack Analysis on Race between Attack and Defense. May 2018. Hyun Kwon · Hyunsoo Yoon · Daeseon ...
POSTER: Zero-Day Evasion Attack Analysis on Race between Attack and Defense. Proceedings of the 2018 on Asia Conference on Computer and Communications ...
Sharing cyber threat intelligence about ongoing attacks can significantly alleviate information asymmetry between defenders and attackers as many cyber ...
ABSTRACT. This paper focuses on the anticipatory enhancement of methods of detecting stealth software. Cyber security detection tools are insufficiently ...
A zero-day attack happens when attackers exploit a cyber vulnerability that is unknown to the public. It has been reported that 15% of the exploits occur ...
Papers and Proceedings. The full Proceedings published by USENIX for the symposium are available for download below. Individual papers can also be downloaded ...