From the 1 of 5 linked papers with an AI index.
5 papers
HiTMS: A High-Throughput Multi-Stream Linguistic Steganography Framework
Ruiyi Yan, Yugo Murawaki, Zhongliang Yang
Generative linguistic steganography conceals secret bits within the sampling randomness of large language models. Existing schemes are single-stream, conveying an entire secret thr…
MemDefrag: Latent Memory Defragmentation for Large Language Models
Ruiyi Yan, Zhuoyuan Mao, Yiwen Guo
The paper introduces MemDefrag, a training-free, model-agnostic method that uses middle-layer attention signals to reorder and filter latent memory fragments in large language mode…
Anchored Sliding Window: Toward Robust and Imperceptible Linguistic Steganography
Ruiyi Yan, Shiao Meng, Yugo Murawaki
Linguistic steganography based on language models typically assumes that steganographic texts are transmitted without alteration, making them fragile to even minor modifications. W…
Efficient Provably Secure Linguistic Steganography via Range Coding
Ruiyi Yan, Yugo Murawaki
Linguistic steganography involves embedding secret messages within seemingly innocuous texts to enable covert communication. Provable security, which is a long-standing goal and ke…
Addressing Tokenization Inconsistency in Steganography and Watermarking Based on Large Language Models
Ruiyi Yan, Yugo Murawaki
Large language models have significantly enhanced the capacities and efficiency of text generation. On the one hand, they have improved the quality of text-based steganography. On…