Heng Li

Research

I'm interested in software security and machine learning with a series of topics (e.g. Adversarail attack/defense).

Conference Papers:

1. Automated Malware Assembly Line: Uniting Piggybacking and Adversarial Example in Android Malware Generation
   Heng Li, Zhiyuan Yao, Bang Wu, Cuiying Gao, Teng Xu, Wei Yuan, Xiapu Luo
   NDSS 2025 | paper

2. Uncovering and Mitigating the Impact of Code Obfuscation on Dataset Annotation with Antivirus Engines
   Gao Cuiying, Yueming Wu, Heng Li, Wei Yuan, Haoyu Jiang, Yang Liu,
   ISSTA 2024 | paper

3. Black-box Adversarial Example Attack towards FCG Based Android Malware Detection under Incomplete Feature Information
   Heng Li, Zhang Cheng, Bang Wu, Liheng Yuan, Cuiying Gao, Wei Yuan, Xiapu Luo
   USENIX SECURITY 2023 | paper

4. Robust Android Malware Detection Against Adversarial Example Attacks
   Heng Li, Shiyao Zhou, Wei Yuan, Xiapu Luo, Cuiying Gao, Shuiyan Chen
   WWW 2021 | paper

5. HARP: Let Object Detector Undergo Hyperplasia to Counter Adversarial Patches
   Junzhe Cai, Shuiyan Chen, Heng Li#, Beihao Xia, Zimin Mao, Wei Yuan
   ACM MM 2023 (# corresponding author) | paper

6. Trace-agnostic and Adversarial Training-resilient Website Fingerprinting Defense
   Litao Qiao, Bang Wu, Heng Li, Cuiying Gao, Wei Yuan
   INFOCOM 2024 | paper

7. A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments
   Cuiying Gao, Gaozhun Huang, Heng Li, Bang Wu, Yueming Wu, Wei Yuan
   ICSE 2024 | paper

8. Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
   Ziqiang Li, Hong Sun, Pengfei Xia, Heng Li, Beihao Xia, Yi Wu, Bin Li
   ICLR 2024 | paper

9. Recent Advances in Concept Drift Adaptation Methods for Deep Learning
   Liheng Yuan, Heng Li, Beihao Xia, Cuiying Gao, Mingyue Liu, Wei Yuan, Xinge You
   IJCAI 2022 | paper

Journal Papers:

1. 安卓恶意软件对抗样本攻击方法综述
   李珩, 吴棒, 龚柱, 高翠莹, 袁巍, 罗夏朴
   软件学报 2024 | paper

2. Enhancing robustness of person detection: A universal defense filter against adversarial patch attacks
   Zimin Mao, Shuiyan Chen, Zhuang Miao, Heng Li#, Beihao Xia, Junzhe Cai, Wei Yuan, Xinge You
   Computers & Security 2024 | paper

3. Semi-supervised Anomaly Detection with Contamination-resilience and Incremental Training
   Liheng Yuan, Fanghua Ye, Heng Li, Chenhao Zhang, Cuiying Gao, Chengqing Yu, Wei Yuan, Xinge You
   Engineering Applications of Artificial Intelligence 2024 | paper

4. Adversarial-Example Attacks toward Android Malware Detection System
   Heng Li, Shiyao Zhou, Wei Yuan, Henry Leung
   IEEE Systems Journal 2019 | paper

5. Obfuscation-resilient Android Malware Analysis Based on Complementary Features
   Cuiying Gao, Minghui Cai, Shuijun Yin, Gaozhun Huang, Heng Li#, Wei Yuan
   IEEE TIFS 2023 (# corresponding author) | paper

6. A Lightweight On-device Detection Method for Android Malware
   Wei Yuan, Yuan Jiang, Heng Li#, Minghui Cai
   IEEE TSMC 2021 (# corresponding author) | paper

7. Model Scheduling and Sample Selection for Ensemble Adversarial Example Attacks
   Zichao Hu*, Heng Li*, Liheng Yuan, Zhang Cheng, Wei Yuan, Ming Zhu
   Pattern Recognition 2022 (* equal contribution) | paper

8. Black-box attack against handwritten signature verification with region-restricted adversarial perturbations
   Haoyang Li*, Heng Li*, Hansong Zhang, Wei Yuan
   Pattern Recognition 2021 (* equal contribution) | paper

9. Detecting Android Malware With Pre-Existing Image Classification Neural Networks
   Chenhao Zhang, Shuijun Yin, Heng Li, Minghui Cai, Wei Yuan
   IEEE Signal Processing Letters 2023 | paper

10. Resisting DNN-based Website Fingerprinting Attacks Enhanced by Adversarial Training
    Litao Qiao, Bang Wu, Shuijun Yin, Heng Li, Wei Yuan, Xiapu Luo
    IEEE TIFS 2023 | paper

11. Learning features from enhanced function call graphs for Android malware detection
    Minghui Cai, Yuan Jiang, Cuiying Gao, Heng Li, Wei Yuan
    Neurocomputing 2020 | paper

Awards