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t-EER:对抗措施和生物识别比较器的无参数并行评估

Tomi H Kinnunen, Kong Aik Lee, Hemlata Tak

IEEE transactions on pattern analysis and machine intelligence

|September 11, 2023

概括

这项研究引入了一个新的度量,并联等错误率 (t-EER),用于评估呈现攻击检测 (PAD) 系统与生物识别验证一起. 这种联合评估提供了一个比单独评估更优的方法,提高了整体系统可靠性.

科学领域:

生物识别和安全
人工智能的人工智能
模式识别模式识别

背景情况:

演示攻击检测 (PAD) 系统可以提高生物识别验证的可靠性,防止伪造.
目前的PAD和生物识别系统经常被单独评估,这是不理想的.
现有的联合评估指标可能取决于参数,并受到攻击患病率的影响.

研究的目的:

引入一种新的,无参数的指标,用于PAD和生物识别验证系统的联合评估.
提出一个并发的t-EER操作点不变以攻击流行.
为了证明拟议的指标在各种生物识别应用中的适用性.

主要方法:

开发一种新的指标:并联等错率 (t-EER).
引入一个并发的t-EER用于攻击患病率不变.
验证使用模拟的,模态不可知得分和现实世界的语音生物识别数据.

主要成果:

t-EER提供了PAD和生物识别系统的联合评估.
同时的t-EER提供了一个稳定的操作点,无论攻击的流行程度如何.
在受到攻击的各种生物识别系统评估中证明了t-EER的有效性.

结论:

拟议的t-EER指标是PAD和生物识别系统的协同评估的强有力的候选者.
使用t-EER的联合评估导致更可靠的生物识别验证.
同时的t-EER解决了以前联合评估方法的局限性.

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