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 18 papers between 2020 and 2024.

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

Timeline

Legend:

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Bibliography

2024
Enhancing robustness of person detection: A universal defense filter against adversarial patch attacks.
Comput. Secur., 2024

Uncovering and Mitigating the Impact of Code Obfuscation on Dataset Annotation with Antivirus Engines.
Proceedings of the 33rd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2024

Trace-agnostic and Adversarial Training-resilient Website Fingerprinting Defense.
Proceedings of the IEEE INFOCOM 2024, 2024

A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments.
Proceedings of the 46th IEEE/ACM International Conference on Software Engineering, 2024

Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Resisting DNN-Based Website Fingerprinting Attacks Enhanced by Adversarial Training.
IEEE Trans. Inf. Forensics Secur., 2023

Obfuscation-Resilient Android Malware Analysis Based on Complementary Features.
IEEE Trans. Inf. Forensics Secur., 2023

Detecting Android Malware With Pre-Existing Image Classification Neural Networks.
IEEE Signal Process. Lett., 2023

Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information.
Proceedings of the 32nd USENIX Security Symposium, 2023

HARP: Let Object Detector Undergo Hyperplasia to Counter Adversarial Patches.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022
Model scheduling and sample selection for ensemble adversarial example attacks.
Pattern Recognit., 2022

Recent Advances in Concept Drift Adaptation Methods for Deep Learning.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
A Lightweight On-Device Detection Method for Android Malware.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Black-box attack against handwritten signature verification with region-restricted adversarial perturbations.
Pattern Recognit., 2021

Learning features from enhanced function call graphs for Android malware detection.
Neurocomputing, 2021

Robust Android Malware Detection against Adversarial Example Attacks.
Proceedings of the WWW '21: The Web Conference 2021, 2021

2020
Adversarial-Example Attacks Toward Android Malware Detection System.
IEEE Syst. J., 2020

BGM: Building a Dynamic Guidance Map without Visual Images for Trajectory Prediction.
CoRR, 2020


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