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Author

De-Peng Chen

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#federated learning Open access Dec 2026

Adaptive Federated Unlearning in Heterogeneous Edge Networks via Contrastive Fine-Tuning

Federated unlearning (FU) has become a critical capability of privacy-sensitive edge intelligence, which enables mobile and Internet of Things (IoT) devices to revoke previously contributing data from collaboratively trained models. While previous studies have explored unlearning via retraining or approximate mechanism...

Xiao-Hong Jiang, Hong Zhong, De-Peng Chen et al. · 0 citations
Book Open access Nov 2026

Interpretation-Aware Image Manipulation Detection

A risk framework to assess the intrinsic interpretive shift (ITS) of an ordered image pair, which evaluates whether the final edited image changes the interpretation supported by a source reference image, and can be operationalized with the Content Provenance and Authenticity (C2PA) provenance framework.

Yun-Qi Li, Rolando Trujillo-Rasua, De-Peng Chen · 0 citations
#generative ai Book Open access Nov 2026

Interpretation-Aware Image Manipulation Detection

Image manipulation has been a common practice since the early days of photography, and has evolved into a sophisticated threat with the rise of powerful image editing tools and generative AI. It can be used to spread misinformation, manipulate public opinion, and cause harm to individuals and communities. In this artic...

Yun-Qi Li, Rolando Trujillo-Rasua, De-Peng Chen · 0 citations

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