A team from the University of California at Davis described how the addition of a few common words could produce an effective attack against machine-learning spam filters and how, with training, the filters could be made more resistant to this attack.

• 美国加州大学戴维斯分校的研究小组证明，在垃圾邮件中加入少量常用字，可有效打击机器学习垃圾邮件过滤器，但如果进一步训练，就可提高这些过滤器抵御攻击的能力。