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cs.CR2026
BiShield-TEE: On the (In-)Security of Unilateral Weight Obfuscation in On-Device TEE-Shielded LLM Partition
Zhiyuan Wang, Yuezhi Zhou, Ziqi Zhang +3
On-device deployment of large language models (LLMs) is increasingly adopted due to latency and privacy requirements, but exposes proprietary models to reverse engineering and inte…
cs.CR2026
MANA: Towards Efficient Mobile Ad Detection via Multimodal Agentic UI Navigation
Yizhe Zhao, Yongjian Fu, Zihao Feng +4
Mobile advertising dominates app monetization but introduces risks ranging from intrusive user experience to malware delivery. Existing detection methods rely either on static anal…
cs.CR2025
CSVAR: Enhancing Visual Privacy in Federated Learning via Adaptive Shuffling Against Overfitting
Zhuo Chen, Zhenya Ma, Yan Zhang +8
Although federated learning preserves training data within local privacy domains, the aggregated model parameters may still reveal private characteristics. This vulnerability stems…