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Ziwen He

3 accepted papers

2026

DGS-Net: Distillation-Guided Gradient Surgery for CLIP Fine-Tuning in AI-Generated Image Detection

ICML 2026spotlight

The rapid progress of generative models such as GANs and diffusion models has led to the widespread proliferation of AI-generated images, raising concerns about misinformation, privacy violations, and trust erosion in digital media. Although large-scale multimodal models like CLIP offer strong trans…

Cited by 0SourceScholar
2026

Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts

ICLR 2026poster

Mixture-of-Experts (MoE) has demonstrated strong performance in video understanding tasks, yet its adversarial robustness remains underexplored. Existing attack methods often treat MoE as a unified architecture, overlooking the independent and collaborative weaknesses of key components such as route…

Cited by 0SourcecodeScholar
2025

Is Artificial Intelligence Generated Image Detection a Solved Problem?

NeurIPS 2025poster

The rapid advancement of generative models, such as GANs and Diffusion models, has enabled the creation of highly realistic synthetic images, raising serious concerns about misinformation, deepfakes, and copyright infringement. Although numerous Artificial Intelligence Generated Image (AIGI) detecto…

Cited by 0SourcecodeScholar