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20202023
most citedExploiting the Potential of Datasets: A Data-Centric Approach for Model Robustness

9 citations · 20 across the 16 of their papers we have counts for

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Showing 2022Show all

12 papers · 1 filter

cs.CR2022

A Novel Efficient Signcryption Scheme for Resource-Constrained Smart Terminals in Cyber-Physical Power Systems

Xue Li, Cheng Jiang, Dajun Du +3

Most of the existing signcryption schemes generate pseudonym by key generation center (KGC) and usually choose bilinear pairing to construct authentication schemes. The drawback is…

cs.DC2022★ 1 cited

Operation-level Concurrent Transaction Execution for Blockchains

Haoran Lin, Yajin Zhou, Lei Wu

Despite the success in various scenarios, blockchain systems, especially EVM-compatible ones that serially execute transactions, still face the significant challenge of limited thr…

physics.flu-dyn2022

Boosting the convergence of low-variance DSMC by GSIS

Liyan Luo, Qi Li, Lei Wu

The low-variance direct simulation Monte Carlo (LVDSMC) is a powerful method to simulate low-speed rarefied gas flows. However, in the near-continuum flow regime, due to limitation…

math.AG2022

Linear optimization on varieties and Chern-Mather classes

Laurentiu G. Maxim, Jose Israel Rodriguez, Botong Wang +1

The linear optimization degree gives an algebraic measure of complexity of optimizing a linear objective function over an algebraic model. Geometrically, it can be interpreted as t…

cs.CR2022★ 6 cited

A Survey on EOSIO Systems Security: Vulnerability, Attack, and Mitigation

Ningyu He, Haoyu Wang, Lei Wu +3

EOSIO, as one of the most representative blockchain 3.0 platforms, involves lots of new features, e.g., delegated proof of stake consensus algorithm and updatable smart contracts,…

cs.CR2022

iLibScope: Reliable Third-Party Library Detection for iOS Mobile Apps

Jingyi Guo, Min Zheng, Yajin Zhou +4

Vetting security impacts introduced by third-party libraries in iOS apps requires a reliable library detection technique. Especially when a new vulnerability (or a privacy-invasive…