HiTMS: A High-Throughput Multi-Stream Linguistic Steganography Framework

arXiv:2607.23597 · cs.CR, cs.CL · Submitted 2026-07-26 · Read on arXiv

Ruiyi Yan, Zhongliang Yang, Yugo Murawaki

cs.CR, cs.CL

Submitted: 2026-07-26

Code: https://github.com/ryehr/HiTMS_steganography

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• LLM-as-a-Judge — 4× in this paper · explained in 3 episodes
• Tokenization — 4× in this paper · explained in 2 episodes
• Consistency — 2× in this paper · explained in 3 episodes
• Perplexity — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Diffusion Model — 1× in this paper · explained in 8 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• A Survey on LLM-as-a-Judge
• BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

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