Author

Lefeng Zhang

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Sep 2026

Adversarial Attack and Detection in Token‐Pruned Large Vision‐Language Models

Large vision‐language models (LVLMs) incur high computational costs, and visual token pruning is commonly used to remove redundant tokens and enhance efficiency. However, from a security perspective, such acceleration mechanisms may have a non‐monotonic impact on adversarial robustness: They may either improve robust...

Shi-Kai Su, Hui Sun, Le-Feng Zhang · Concurrency and Computation · 0 citations

Preprint Sep 2026

Detecting Logic Vulnerabilities Across the Contract and Device Layers of Blockchain-Enabled IoT With Multi-Agent Heterogeneous Graph Attention

MA-HGAT is extended into a cross-layer multi-agent heterogeneous graph attention framework that models contracts, firmware artifacts, device fleets, and transaction streams with a unified four-role, nine-relation schema and provides a unified and deployable framework for detecting logic vulnerabilities across the contr...

Min-Feng Qi, Jia-Lin Li, Tian-Qing Zhu et al. · 0 citations