output
20112026
most citedThermodynamic consistency, quark mass scaling, and properties of strange matter

88 citations

9 papers

cs.SE2026

EchoFuzz: Empowering Smart Contract Fuzzing with Large Language Models

Juanen Li, Peng Qian, Guanyan Li +6

Smart contracts, serving as the cornerstone of decentralized applications, autonomously manage trillion-dollar digital assets, making them attractive targets for attacks. Fuzzing h…

quant-ph2021

Four-state reference-frame-independent quantum key distribution with non-qubit sources

Zhenhua Li, Tianqi Dou, Jipeng Wang +6

The discrepancy between theory and experiment severely limits the development of quantum key distribution (QKD). Reference-frame-independent (RFI) protocol has been proposed to avo…

cs.CR2019★ 4 cited

Open DNN Box by Power Side-Channel Attack

Yun Xiang, Zhuangzhi Chen, Zuohui Chen +7

Deep neural networks are becoming popular and important assets of many AI companies. However, recent studies indicate that they are also vulnerable to adversarial attacks. Adversar…

cs.LG2019★ 75 cited

Deep Learning for Large-Scale Real-World ACARS and ADS-B Radio Signal Classification

Shichuan Chen, Shilian Zheng, Lifeng Yang +1

Radio signal classification has a very wide range of applications in the field of wireless communications and electromagnetic spectrum management. In recent years, deep learning ha…

quant-ph2015

The Classification of Quantum Symmetric-Key Encryption Protocols

Chong Xiang, Li Yang, Yong Peng +1

The classification of quantum symmetric-key encryption protocol is presented. According to five elements of a quantum symmetric-key encryption protocol: plaintext, ciphertext, key,…

hep-ph2014★ 88 cited

Thermodynamic consistency, quark mass scaling, and properties of strange matter

C. J. Xia, G. X. Peng, S. W. Chen +2

The previous thermodynamic treatment for models with density and/or temperature dependent quark masses is shown to be inconsistent with the requirement of fundamental thermodynamic…