Heng Li

Orcid: 0000-0001-8045-8983

Affiliations:

Huazhong University of Science and Technology, Wuhan, China

According to our database¹, Heng Li authored at least 25 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Why Not Diversify Triggers? APK-Specific Backdoor Attack Against Android Malware Detection.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2026

Improving the transferability of targeted adversarial examples by style-agnostic attack.

[BibT_eX]

[DOI]

Comput. Secur., 2026

Do You Really Know What I Am Doing? Backdoor Attacks on Provenance-Based Intrusion Detection Systems.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

2025

An Efficient Adversarial Attack on FCG-Based Android Malware Detection Systems.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Adversarial Perturbations for Defeating Cryptographic Algorithm Identification.

[BibT_eX]

[DOI]

Big Data Cogn. Comput., 2025

Automated Mass Malware Factory: The Convergence of Piggybacking and Adversarial Example in Android Malicious Software Generation.

[BibT_eX]

[DOI]

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

2024

Semi-supervised anomaly detection with contamination-resilience and incremental training.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

Enhancing robustness of person detection: A universal defense filter against adversarial patch attacks.

[BibT_eX]

[DOI]

Comput. Secur., 2024

Uncovering and Mitigating the Impact of Code Obfuscation on Dataset Annotation with Antivirus Engines.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Trace-agnostic and Adversarial Training-resilient Website Fingerprinting Defense.

[BibT_eX]

[DOI]

Proceedings of the IEEE INFOCOM 2024, 2024

A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments.

[BibT_eX]

[DOI]

Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Resisting DNN-Based Website Fingerprinting Attacks Enhanced by Adversarial Training.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Obfuscation-Resilient Android Malware Analysis Based on Complementary Features.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2023

Detecting Android Malware With Pre-Existing Image Classification Neural Networks.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2023

Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

HARP: Let Object Detector Undergo Hyperplasia to Counter Adversarial Patches.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Model scheduling and sample selection for ensemble adversarial example attacks.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Recent Advances in Concept Drift Adaptation Methods for Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

A Lightweight On-Device Detection Method for Android Malware.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Syst., 2021

Black-box attack against handwritten signature verification with region-restricted adversarial perturbations.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

Learning features from enhanced function call graphs for Android malware detection.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Robust Android Malware Detection against Adversarial Example Attacks.

[BibT_eX]

[DOI]

Proceedings of the WWW '21: The Web Conference 2021, 2021

2020

Adversarial-Example Attacks Toward Android Malware Detection System.

[BibT_eX]

[DOI]

IEEE Syst. J., 2020

BGM: Building a Dynamic Guidance Map without Visual Images for Trajectory Prediction.

[BibT_eX]

[DOI]

CoRR, 2020

Heng Li

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