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Hai Jin

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Open access Oct 2026

LightZK: An Efficient GPU Acceleration Framework for Large-Scale Zero-Knowledge Proofs

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. · 0 citations
Open access Oct 2026

CID: Clean-Seed-Free Backdoor Defense via Counterfactual Invariance for Neural Code Models

Counterfactual Invariance-based Defense is introduced, a clean-seed-free defense requiring no a priori trusted in-distribution clean data and grounded in operational counterfactual invariance tests that achieves high poison-detection performance relative to evaluated baselines while keeping false positives low in most...

Jun-Yao Ye, Zhen Li, Xi Tang et al. · 0 citations
#edge computing Open access Oct 2026

PGMiner: A Load-Aware Dynamic Graph Pattern Matching Approach on GPUs

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. · 0 citations

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