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Zhaoxia Yin

3 accepted papers

2026

RFNNS: Robust Fixed Neural Network Steganography with Universal Text-to-Image Models

AAAI 2026technical

With the rapid development of generative AI, image steganography has garnered widespread attention due to its unique concealment. Recent studies have demonstrated the practical advantages of Fixed Neural Network Steganography (FNNS), notably its ability to achieve stable information embedding and ex

Cited by 0SourcePDFScholar
2026

SAIDO: Generalizable Detection of AI-Generated Images via Scene-Aware and Importance-Guided Dynamic Optimization in Continual Learning

CVPR 2026

The widespread misuse of image generation technologies has raised security concerns, driving the development of AI-generated image detection methods. However, generalization has become a key challenge and open problem: existing approaches struggle to adapt to emerging generative methods and content

Cited by 0SourceScholar
2025

AutoBreach: Universal and Adaptive Jailbreaking with Efficient Wordplay-Guided Optimization via Multi-LLMs

NAACL 2025findings

Recent studies show that large language models (LLMs) are vulnerable to jailbreak attacks, which can bypass their defense mechanisms. However, existing jailbreak research often exhibits limitations in universality, validity, and efficiency. Therefore, we rethink jailbreaking LLMs and define three ke…