Steganography conceals secret information within innocuous carriers while preserving visual fidelity and enabling reliable recovery. Recent unified networks operate normally under untriggered conditions but switch to hidden steganographic tasks when triggered. PUSNet follows this paradigm by performing image purification during normal operation and steganographic embedding when activated. However, it supports only a single user with one key pair, limiting its applicability in multi-user settings. We propose PUSNet-MK, a multi-key extension that enforces strict key isolation via a mismatched-key isolation loss, effectively preventing cross-key decoding when a wrong key is applied. This design preserves the intended steganographic behavior while addressing a critical security limitation of PUSNet. Extensive experiments demonstrate that PUSNet-MK produces high-quality stego images and accurate secret recovery, while preventing unintended information leakage. Code is available at https://gitlab.pairlab.ai.nycu.edu.tw/pairlab/ai.phd/pusnet-mk.
Here is a GIFT: Enforcing User Data Isolation in LLM Serving via GPU Information Flow Tracking
Institute of Parallel and Distributed Systems, School of Computer Science, Shanghai Jiao Tong University（上海交通大学计算机学院并行与分布式系统研究所）；Northeastern University（东北大学）
