Author

Jia-Xin Hong

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Book Open access Aug 2026

GaussTrap: Stealthy Backdoor Attacks on 3D Gaussian Splatting for Targeted Scene Misperception

3D Gaussian Splatting (3DGS) has recently emerged as a powerful paradigm for real-time scene representation and novel view synthesis, gaining traction in safety-critical applications such as autonomous driving and AR/VR systems. However, the security vulnerabilities of 3DGS remain largely unexplored. In this paper, we...

Jia-Xin Hong, Si-Xu Chen, Shuo-Yang Sun et al. · Proceedings of the 32nd ACM... · 1 citation

#artificial intelligence Preprint Sep 2026

From Bits to Beliefs: Recoverable Semantic Fingerprints for Black-Box Verification of Large Language Models

Open-weight large language models (LLMs) can be copied, modified, and redeployed behind black-box APIs, making post-release ownership verification difficult. Existing black-box fingerprints often rely on secret query-key pairs that reproduce predefined responses, and can therefore be easily disrupted by fine-tuning, pr...

Jia-Xin Hong, Yu-Xin Peng, Hong-Yao Yu et al. · 0 citations

#machine learning Preprint Aug 2026

Weak Ties, Strong Signals: Efficient Training Data Detection in Diffusion LLMs via Independent Token Sampling

Diffusion large language models (dLLMs) offer a compelling alternative to autoregressive models, yet they may expose sensitive training data during denoising. Detecting such usage is challenging because dLLMs lack the efficient one-pass probability decomposition of causal architectures. Existing methods rely on random...

Hong-Yao Yu, Tian-Qu Zhuang, Zi-Yuan Xu et al. · 0 citations