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cs.CR2026
Beyond QA Matching: Perturbation-Response Fingerprinting via Probability Distributions for Large Language Models
Jichao Zeng, Yanli Chen, Hanzhou Wu
Large language models are often instruction-tuned, specialized, quantized, or otherwise transformed, making fine-grained provenance difficult. In this paper, we introduce BReF, a t…
cs.CR2026
Code-Level Cost Function Generation for Spatial Image Steganography Using RAG-Enhanced Large Language Models
Yige Wang, Shiqi Yi, Hanzhou Wu
Designing cost functions of adaptive steganography traditionally requires extensive manual tuning, while deep learning methods lack interpretability. Although large language models…