Zhenliang Gan — accepted AI-conference papers

2026

Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling

Yixin Wu, Feiran Zhang, Tianyuan Shi, Ruicheng Yin, Zhenghua Wang, Zhenliang Gan +4

AAAI 2026technical

Recent advances in diffusion models have enabled the creation of deceptively real images, posing significant security risks when misused. In this study, we empirically show that different timesteps of DDIM inversion reveal varying subtle distinctions between synthetic and real images that are extrac

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2026

GenPTW: Latent Image Watermarking for Provenance Tracing and Tamper Localization

Zhenliang Gan, Chunya Liu, Yichao Tang, Binghao Wang, Shiwen Cui, Weiqiang Wang +1

AAAI 2026technical

The proliferation of generative image models has revolutionized AIGC creation while amplifying concerns over content provenance and manipulation forensics. Existing methods are typically either unable to localize tampering or restricted to specific generative settings, limiting their practical utili

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