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Richard Marriott(IDEMIA):变形检测算法对压缩的鲁棒性.pdf

上传人: 芦苇 编号:651698 2025-05-01 14页 1.05MB

1、ROBUSTNESS OF MORPHING ATTACK DETECTION TO COMPRESSIONRichard MarriottIFPC 202503/04/2025Morphing attacksROBUSTNESS OF S-MAD TO COMPRESSION03/04/2025AccompliceMorphAttackerRpublique FranaiseMARRIOTTRichard,Thomas26/02/1985M 1,81m BLEUEExp.02/07/2034 1)Accomplice succeeds in having the morphed image

2、included in a genuine ID document2)Attacker uses morphed ID-doc.to gain unauthorised entry2An extreme use caseROBUSTNESS OF S-MAD TO COMPRESSION03/04/2025 At 1100 bytes,we may still be able to recognise faces But can we still detect morphs?3The study:algorithm+operational thresholdROBUSTNESS OF S-MA

3、D TO COMPRESSION03/04/2025MACERBPCER_m=0.003MACER:Morphing Attack Classification Error Rate(i.e.False Negatives)(i.e.probability that an attacker will fool the detection algorithm)BPCER:Bona fide Presentation Classification Error Rate(i.e.False Positives)(i.e.probability that a genuine document is r

4、ejected due to false morph-detection)BPCER_m=0.01 0.015We will use this value as the“operational threshold”throughout this study4The study:datasets+metricsROBUSTNESS OF S-MAD TO COMPRESSION03/04/2025DatasetImage-typeNum.imagesDataset 1ID-doc.4619Dataset 2ID-doc.5000Dataset 3ID-doc.5000Dataset 4Mugsh

5、ot8069Metrics:For each of these datasets we will look at the effect of compression on values of.MACERBPCER_m=0.01BPCERBPCER_m=0.015The study:crop+compression typesROBUSTNESS OF S-MAD TO COMPRESSION03/04/2025216x216(IED 70px)AVIFHEIFJPEGJPEG2000WEBP1100 bytesBona fideMorph6Compression types-zoomedROB

6、USTNESS OF S-MAD TO COMPRESSION03/04/2025AVIFHEIFJPEGJPEG2000WEBPBona fideMorphArtifact visible in uncompressed morphed image1100 bytes7Does compression obscure morphing artifacts?ROBUSTNESS OF S-MAD TO COMPRESSION03/04/2025Light compression does not increase MACER an attacker cant rely on compressi

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本文探讨了图像压缩对变形成攻检测鲁棒性的影响。研究了压缩对识别脸部及变形的检测能力的影响,并提出了一个算法及操作阈值。实验使用了不同的数据集和压缩类型,结果表明轻压缩不会增加误检率,但重压缩可能会增加或减少检测率,具体取决于压缩类型。研究发现,即使没有压缩,预处理图像也会增加误检率。调整阈值以适应文件大小并不能有效稳定性能。通过重新训练,性能可以得到提高,但仍远未达到未压缩水平。结论是,对于检测变形攻击,压缩不应小于20kB,推荐使用AVIF,HEIF和WEBP格式,而不是JPEG和JPEG2000。
"压缩技术如何影响图像变形的检测?" "在图像压缩过程中,如何平衡检测准确性和文件大小?" "针对极端压缩的图像,有哪些改进检测性能的方法?"
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