arXiv:2204.13374
공식 코드 · Papers with Code
Morphing Attack Potential
원문 초록
In security systems the risk assessment in the sense of common criteria testing is a very relevant topic; this requires quantifying the attack potential in terms of the expertise of the attacker, his knowledge about the target and access to equipment. Contrary to those attacks, the recently revealed morphing attacks against Face Recognition Systems (FRSs) can not be assessed by any of the above criteria. But not all morphing techniques pose the same risk for an operational face recognition system. This paper introduces with the Morphing Attack Potential (MAP) a consistent methodology, that can quantify the risk, which a certain morphing attack creates.
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Attributes Shape the Embedding Space of Face Recognition Models
Inverting Black-Box Face Recognition Systems via Zero-Order Optimization in Eigenface Space
DiffProb: Data Pruning for Face Recognition
StoryReasoning Dataset: Using Chain-of-Thought for Scene Understanding and Grounded Story Generation
FLUXSynID: A Framework for Identity-Controlled Synthetic Face Generation with Document and Live Images
Transforming faces into video stories -- VideoFace2.0
토론
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