Target-oriented face de-identification models aim to anonymize the identity of a target individual across different images or video frames, such that the target can no longer be reliably recognized, while maintaining key characteristics of the visual data. Such models commonly leverage generative encoder-decoder archit...
Felix Rosberg, Vitomir Štruc, Cristofer Englund et al.· 0 citations
This work proposes GRACE, a structured concept erasure framework designed to enable localized and selective intervention, and introduces a semantically weighted sensitive subspace estimation to precisely lock intervention directions, and employs lightweight subspace-constrained adapters to prevent global semantic distu...
Qing Gong, Yi-Huai Liang, Yuan-Lun Xie et al.· 0 citations
Experiments with face recognition models using CNN, ViT, and Swin backbones show that SCOUT discovers interpretable concepts beyond standard attribute labels and enables controllable, identity-aware template manipulation with negligible impact on identity matching.
Leon Todorov, Peter Rot, Peter Peer et al.· 0 citations
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