INERT
发表于 2025-3-26 23:15:27
A Deeper Analysis of Adversarial Examples in Intrusion Detection for intrusion detection. However, and despite the progress made in this area, machine learning models have been found to be vulnerable to slightly modified data samples called adversarial examples. Thereby, a small and well-computed perturbation may allow adversaries to evade intrusion detection sy
opportune
发表于 2025-3-27 02:23:02
Implementation Flaws in TLS Stacks: Lessons Learned and Study of TLS 1.3 Benefitsws affecting a wide range of independent stacks. The infamous Heartbleed bug, was estimated to affect more than 20% of the most popular HTTPS servers. We propose a structured review of these implementation flaws. By considering their consequences but also their root causes, we present some lessons l
etidronate
发表于 2025-3-27 07:23:33
Security Through Transparency and Openness in Computer Designn cybersecurity updates of the software and firmware running on their devices to keep their privacy and data protected from malicious use. Businesses and governments procure technology which they expect to run for long periods and be kept in line with the state of the art in security. Presently, how
跟随
发表于 2025-3-27 11:50:25
An ML Behavior-Based Security Control for Smart Home Systemsy applications (called SmartApps). However, intentional/unintentional issues would make SmartApps deviate from their expected behavior, putting the SHS owner’s security at risk. To address this issue, in this paper, we introduce an ML behavior-based approach to prevent malicious control of SHS devic
Blood-Vessels
发表于 2025-3-27 15:28:23
http://reply.papertrans.cn/84/8309/830817/830817_35.png
出价
发表于 2025-3-27 19:58:03
http://reply.papertrans.cn/84/8309/830817/830817_36.png
慢慢流出
发表于 2025-3-27 22:11:33
http://reply.papertrans.cn/84/8309/830817/830817_37.png
按等级
发表于 2025-3-28 02:12:01
http://reply.papertrans.cn/84/8309/830817/830817_38.png
竖琴
发表于 2025-3-28 09:03:09
http://reply.papertrans.cn/84/8309/830817/830817_39.png
maverick
发表于 2025-3-28 14:00:29
Premium Access to Convolutional Neural Networksvileged users. Our solution relies on a degraded implementation which can be corrected thanks to a PIN. We explain how to select a few parameters in an NN so as to maximize the gap in the accuracy between the premium and the degraded modes. We report experiments on an implementation of our proposal