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RisingAttacK 由一系列操作组成,目标是对图像进行最少的更改,从而允许用户操纵视觉 AI“看到”的内容 。首先,RisingAttacK 识别图像中的所有视觉特征 。该程序还运行一个操作,以确定哪些特征对于实现攻击目标最重要 。吴说:“例如,如果攻击的目标是阻止人工智能识别汽车,那么图像中最重要 ...
RisingAttacK 随后计算人工智能系统对数据变化的敏感度,并确定人工智能对关键特征数据变化的敏感度 。吴说:“这需要一些计算能力,但能让我们对关键特征进行非常小、有针对性的更改,从而使攻击成功” 。“最终结果是,两张图片在人眼看来可能一模一样,我们可能清楚地看到两张图片中都有 ...
This review article provides a comprehensive overview of stress granules (SGs) —membraneless organelles formed in response to ...
Se Jin Park, a researcher from Professor Yong Man Ro’s team at KAIST, has announced 'SpeechSSM', a spoken language model ...
Researchers at Tohoku University used machine learning potential to create large-scale models of tin (Sn) catalysts under ...
A recent study published in Genes & Diseases reveals a novel role of XPR1 in promoting ovarian cancer growth by regulating ...
The ability to analyze gene expression at the single-cell level — known as single-cell RNA sequencing (scRNA-seq) — has ...
The latest research published in Genes & Diseases unveils groundbreaking insights into the role of the aging process and the ...
Researchers from The University of Osaka have developed a method to visualize and reconstruct individual urban plants in ...
Ship traffic in shallow areas, such as ports, can trigger large methane emissions by just moving through the water. The ...
An international collaboration featuring the University of Vienna and the University of Wisconsin-Madison (USA) has led to ...
An international research team led by scientists from the University of Vienna has uncovered new insights into how ...
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