HiTMS_steganography

HiTMS: Un marco de esteganografía lingüística multi-flujo de alto rendimiento Código de investigación para esteganografía lingüística en diálogos de chat con LLM , con una línea base de flujo único y un protocolo multi-flujo HiTMS por lotes que oculta varios mensajes secretos independientes a la...

RRC_steganography

Esteganografía RRC Esteganografía por Codificación de Rango Rotacional RRC — un método esteganográfico lingüístico eficiente y demostrablemente seguro que incrusta mensajes secretos en texto en lenguaje natural generado por modelos de lenguaje de gran tamaño. Artículo : Efficient Provably Secure...

Safeguarding LLMs against Misuse and AI-Driven Malware Using Steganographic Canaries

AI-powered malware increasingly exploits cloud-hosted generative-AI services and large language models LLMs as analysis engines for reconnaissance and code generation. Simultaneously, enterprise uploads expose sensitive documents to third-party AI vendors. Both threats converge at the AI service...

Exploring AI in Steganography and Steganalysis: Trends, Clusters, and Sustainable Development Potential

Steganography and steganalysis are strongly related subjects of information security. Over the past decade, many powerful and efficient artificial intelligence AI - driven techniques have been designed and presented during research into steganography as well as steganalysis. This study presents a...

TrojanStego: Your Language Model Can Secretly Be a Steganographic Privacy Leaking Agent

As large language models LLMs become integrated into sensitive workflows, concerns grow over their potential to leak confidential information. We propose TrojanStego, a novel threat model in which an adversary fine-tunes an LLM to embed sensitive context information into natural-looking outputs v...