Zero-Knowledge Proofs (ZKPs), particularly zk-SNARKs, have become a cornerstone for privacy-preserving protocols and blockchain scalability. However, the generation of proofs remains computationally prohibitive due to the immense overhead of underlying cryptographic primitives, namely Multi-Scalar Multiplication (MSM)...
Bi-Ran Lu, Qiang-Sheng Hua, Xuan-Hua Shi et al.· ACM Transactions on Architec...· 0 citations
Neural code models automate core software engineering tasks such as code classification and generation, but remain vulnerable to backdoor attacks. Existing defenses struggle with both injection-based and Semantically-Equivalent Transformation (SET)-based triggers and often require a trusted, pre-verified in-distributio...
Jun-Yao Ye, Zhen Li, Xi Tang et al.· Proceedings of the ACM on So...· 0 citations
A load-aware GPU-based dynamic graph pattern matching scheme is proposed to make full use of GPU computing resources and a task overhead prediction model is proposed to guide task allocation to alleviate the load imbalance between multiple GPU devices.
Yu Zhang, Yu-Luo Guo, Fu-Bing Mao et al.· IEEE Transactions on Knowled...· 0 citations
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