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Using synthetic data and unsupervised learning methods for malware detection

Using synthetic data and unsupervised learning methods for malware detection
使用合成数据和无监督学习方法进行恶意软件检测
批准号:
10099768
负责人:
金额:
$7.53万
依托单位:
依托单位国家:
英国
项目类别:
Collaborative R&D
财政年份:
2023
资助国家:
英国
项目状态:
已结题
起止时间:
2023 至 --

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中文摘要
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英文摘要
In today's AI-driven world, with great innovation comes great?vulnerability.?ECG.ai is the game-changer. We offer a?tailored?cybersecurity platform for AI systems, using synthetic data?to mimic?and defend against vulnerabilities.??We are?not just reactive, we are proactive, seamlessly integrating into?existing development processes and always staying steps ahead of threats.?As AI adoption surges, regulatory focus sharpens.?ECG.ai ensures AI?systems are not just smart, but secure and compliant.??ECG.ai is a cybersecurity platform that secures AI systems against adversarial threats. It provides a modular API that can be integrated into the existing development lifecycle to generate synthetic data that can?be used to increase defence capabilities of AI models and simulates edge cases and novel attacks to improve model resilience. Our platform allows organizations to bridge the gap between cybersecurity and ethical AI using synthetic data to understand new threats and harden the defensive capabilities of AI models.
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近空间飞行器载MIMO SAR高分辨率、宽测绘带遥感成像机理与方法
  • 批准号:
    41101317
  • 项目类别:
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  • 资助金额:
    25.0万元
  • 批准年份:
    2011
  • 负责人:
    王文钦
  • 依托单位:
基于大机动运动平台的特定目标多极化成像与匹配技术研究
  • 批准号:
    11176022
  • 项目类别:
    联合基金项目
  • 资助金额:
    46.0万元
  • 批准年份:
    2011
  • 负责人:
    周峰
  • 依托单位: