S 2LM: Towards Semantic Steganography via Large Language Models
cs.CV, cs.CR
Submitted: 2025-11-07
Updated: 2026-10-10
Terminology
Sources
- Yelp Dataset Challenge: Review Rating Prediction
- Semantic Steganography: A Framework for Robust and High-Capacity Information Hiding using Large Language Models
- StegExpose - A Tool for Detecting LSB Steganography
- TinyStories: How Small Can Language Models Be and Still Speak Coherent English?
- A Corpus for Understanding and Generating Moral Stories
- WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Models
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies
- mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections
- Decoupled Weight Decay Regularization
- We Can Hide More Bits: The Unused Watermarking Capacity in Theory and in Practice
- Get To The Point: Summarization with Pointer-Generator Networks
- Gemma 3 Technical Report
- LLaMA: Open and Efficient Foundation Language Models
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
- BERTScore: Evaluating Text Generation with BERT
- LM4LV: A Frozen Large Language Model for Low-level Vision Tasks
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