Guangke Chen

Orcid: 0000-0001-8277-3119

According to our database1, Guangke Chen authored at least 15 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Attack as Detection: Using Adversarial Attack Methods to Detect Abnormal Examples.
ACM Trans. Softw. Eng. Methodol., March, 2024

A Proactive and Dual Prevention Mechanism against Illegal Song Covers empowered by Singing Voice Conversion.
CoRR, 2024

2023
Precise Quantitative Analysis of Binarized Neural Networks: A BDD-based Approach.
ACM Trans. Softw. Eng. Methodol., May, 2023

Towards Understanding and Mitigating Audio Adversarial Examples for Speaker Recognition.
IEEE Trans. Dependable Secur. Comput., 2023

SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems.
CoRR, 2023

QFA2SR: Query-Free Adversarial Transfer Attacks to Speaker Recognition Systems.
Proceedings of the 32nd USENIX Security Symposium, 2023

2022
Diagonal Recurrent Neural Network-Based Hysteresis Modeling.
IEEE Trans. Neural Networks Learn. Syst., 2022

AS2T: Arbitrary Source-To-Target Adversarial Attack on Speaker Recognition Systems.
CoRR, 2022

SiamPCF: siamese point regression with coarse-fine classification network for visual tracking.
Appl. Intell., 2022

CLEVEREST: Accelerating CEGAR-based Neural Network Verification via Adversarial Attacks.
Proceedings of the Static Analysis - 29th International Symposium, 2022

QVIP: An ILP-based Formal Verification Approach for Quantized Neural Networks.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

2021
SEC4SR: A Security Analysis Platform for Speaker Recognition.
CoRR, 2021

Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems.
Proceedings of the 42nd IEEE Symposium on Security and Privacy, 2021

Attack as defense: characterizing adversarial examples using robustness.
Proceedings of the ISSTA '21: 30th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2021

BDD4BNN: A BDD-Based Quantitative Analysis Framework for Binarized Neural Networks.
Proceedings of the Computer Aided Verification - 33rd International Conference, 2021


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