Mingzhe Li
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GasLiteAA proposes optimizing the ERC-4337 standard by offloading gas sponsorship logic to Trusted Execution Environments (TEE), significantly reducing on-chain gas costs while maintaining security and verifiability.
This paper presents the first systematic study of membership inference attacks (MIAs) against Vision-Language-Action (VLA) models, demonstrating that these models are highly vulnerable to privacy breaches even when only observing generated actions.
DCVD proposes a dual-channel cross-modal fusion framework that jointly detects software vulnerabilities and precisely localizes the vulnerable lines, outperforming existing state-of-the-art methods.
Papers
DCVD: Dual-Channel Cross-Modal Fusion for Joint Vulnerability Detection and Localization
Wenxin Tang, Wenbin Li, Junliang Liu, Jingyu Xiao +9 more
DCVD proposes a dual-channel cross-modal fusion framework that jointly detects software vulnerabilities and precisely localizes the vulnerable lines, outperforming existing state-of-the-art methods.