Hiding in Plain Sight: A Steganographic Approach to Stealthy LLM Jailbreaks

Understand

Jailbreak attacks pose a serious threat to Large Language Models (LLMs) by bypassing their safety mechanisms.

• A truly advanced jailbreak is defined not only by its effectiveness but, more critically, by its stealthiness.
• However, existing methods face a fundamental trade-off between semantic stealth (hiding malicious intent) and linguistic stealth (appearing natural), leaving them vulnerable to detection.
• To resolve this trade-off, we propose StegoAttack, a framework that leverages steganography.