TI-StegoAlign: Channel-Guided Post-Training for Generative Text Steganography under Tokenization Inconsistency

arXiv:2608.00382 · cs.CR · Submitted 2026-08-01 · Read on arXiv

Jiuan Zhou, Yuhao Xue, Yu Cheng, Yuan Xie, Zhaoxia Yin

cs.CR

Submitted: 2026-08-01

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

Terminology

• Accuracy — 47× in this paper · explained in 1 episode
• Tokenization — 27× in this paper · explained in 2 episodes
• Consistency — 22× in this paper · explained in 3 episodes
• Perplexity — 10× in this paper · explained in 3 episodes
• Verification — 10× in this paper · explained in 2 episodes
• Ablation — 7× in this paper · explained in 1 episode
• Bit-Consistent Supervised Objective — 6× in this paper
• Channel-Conditioned Preference Optimization — 5× in this paper
• Benchmark — 4× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Fidelity — 4× in this paper · explained in 2 episodes
• Semantic Similarity — 4× in this paper · explained in 2 episodes
• Trace — 4× in this paper · explained in 2 episodes
• Adaptation — 3× in this paper · explained in 1 episode
• Cosine Similarity — 2× in this paper · explained in 3 episodes
• Direct Preference Optimization — 2× in this paper
• Empirical Methods in Natural Language Processing — 2× in this paper
• Generalization — 2× in this paper · explained in 13 episodes
• International Conference on Learning Representations — 2× in this paper
• Meeting of the Association for Computational Linguistics — 2× in this paper
• Pairwise Comparisons — 2× in this paper · explained in 2 episodes
• Transferability — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• alpha — 2× in this paper · explained in 1 episode
• AI Agents — 1× in this paper · explained in 2 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Ablation study — 1× in this paper · explained in 1 episode
• Adaptive Strategy — 1× in this paper · explained in 1 episode
• Alignment — 1× in this paper · explained in 1 episode
• Decode — 1× in this paper · explained in 2 episodes
• Direct Preference Optimization (DPO) — 1× in this paper · explained in 9 episodes
• Distribution Shift — 1× in this paper · explained in 6 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• LoRA Adapters — 1× in this paper · explained in 3 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Multi-agent Collaboration — 1× in this paper · explained in 2 episodes
• Multi-agent Collaborative Framework — 1× in this paper · explained in 2 episodes
• Supervised Fine-Tuning (SFT) — 1× in this paper · explained in 8 episodes
• Transfer Learning — 1× in this paper · explained in 10 episodes

Sources

• The Llama 3 Herd of Models
• The Steganographic Potentials of Language Models
• RoBERTa: A Robustly Optimized BERT Pretraining Approach
• News Category Dataset
• ReTokSync: Self-Synchronizing Tokenization Disambiguation for Generative Linguistic Steganography
• Qwen3 Technical Report

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