TrafficPSSF: A Fast and An Effective Malware Detection Under Online and Offline. - Qi He; Zhenxiang Chen; Anli Yan; Lizhi Peng; Chuan Zhao; Yuliang Shi (SPAC, 2018)

Neural Network Rule Extraction for Real Time Traffic Behavior Identification. - Anli Yan; Zhenxiang Chen; Lin Wang 004; Lizhi Peng; Muhammad Umair Hassan; Chuan Zhao (SPAC, 2018)

Network-based Malware Detection with a Two-tier Architecture for Online Incremental Update. - Anli Yan; Zhenxiang Chen; Riccardo Spolaor; Shuaishuai Tan; Chuan Zhao; Lizhi Peng; Bo Yang 001 (IWQoS, 2020)

Towards Privacy-Preserving Aggregated Prediction from SPDZ. - Qi Zhao; Bo Zhang 020; Anli Yan; Shan Jing; Chuan Zhao (ML4CS (1), 2020)

IEdroid: Detecting Malicious Android Network Behavior Using Incremental Ensemble of Ensembles. - Cong Liu; Anli Yan; Zhenxiang Chen; Haibo Zhang 001; Qiben Yan; Lizhi Peng; Chuan Zhao (ICPADS, 2021)

Querying little is enough: Model inversion attack via latent information. - Kanghua Mo; Xiaozhang Liu; Teng Huang 001; Anli Yan (Int. J. Intell. Syst., 2021)

Effective detection of mobile malware behavior based on explainable deep neural network. - Anli Yan; Zhenxiang Chen; Haibo Zhang 001; Lizhi Peng; Qiben Yan; Muhammad Umair Hassan; Chuan Zhao; Bo Yang 001 (Neurocomputing, 2021)

Detect Adversarial Examples by Using Feature Autoencoder. - Hongwei Ye; Xiaozhang Liu; Anli Yan; Lang Li; Xiulai Li (ICAIS (3), 2022)

Towards Differentially Private Contrastive Learning. - Wenjun Li; Anli Yan; Taoyu Zhu; Teng Huang; Xuandi Luo; Shaowei Wang (ML4CS (2), 2022)

Explanation-Guided Minimum Adversarial Attack. - Mingting Liu; Xiaozhang Liu; Anli Yan; Yuan Qi; Wei Li (ML4CS (1), 2022)

Kernel-based adversarial attacks and defenses on support vector classification. - Wanman Li; Xiaozhang Liu; Anli Yan; Jie Yang (Digit. Commun. Networks, 2022)

DPCL: Contrastive representation learning with differential privacy. - Wenjun Li; Anli Yan; Di Wu 056; Taoyu Zhu; Teng Huang 001; Xuandi Luo; Shaowei Wang (Int. J. Intell. Syst., 2022)

Towards explainable model extraction attacks. - Anli Yan; Ruitao Hou; Xiaozhang Liu; Hongyang Yan; Teng Huang 001; Xianmin Wang (Int. J. Intell. Syst., 2022)

Sender anonymity: Applying ring signature in gateway-based blockchain for IoT is not enough. - Arthur Sandor Voundi Koe; Shan Ai; Pengfei Huang; Anli Yan; Juan Tang; Qi Chen 024; Kanghua Mo; Wanqing Jie; Shiwen Zhang 004 (Inf. Sci., 2022)

Zeroth-Order Gradient Approximation Based DaST for Black-Box Adversarial Attacks. - Yanfei Zhu; Yaochi Zhao; Zhuhua Hu; Xiaozhang Liu; Anli Yan (ICIC (1), 2023)

GanFinger: GAN-Based Fingerprint Generation for Deep Neural Network Ownership Verification. - Huali Ren; Anli Yan; Xiaojun Ren; Pei-Gen Ye; Chong-zhi Gao; Zhili Zhou; Jin Li 002 (CoRR, 2023)

Explanation leaks: Explanation-guided model extraction attacks. - Anli Yan; Teng Huang 001; Lishan Ke; Xiaozhang Liu; Qi Chen 024; Changyu Dong (Inf. Sci., 2023)

Holistic Implicit Factor Evaluation of Model Extraction Attacks. - Anli Yan; Hongyang Yan; Li Hu; Xiaozhang Liu; Teng Huang 001 (IEEE Trans. Dependable Secur. Comput., 2023)

Explanation-based data-free model extraction attacks. - Anli Yan; Ruitao Hou; Hongyang Yan; Xiaozhang Liu (World Wide Web (WWW), 2023)

Zero-Shot Dense Retrieval Based on Query Expansion. - Yaqi Wu; Pengyu Chen; Ziyu Ding; Anli Yan (AIS&P, 2024)

In-Context Learning with Differentially Private Text Sanitization in Large Language Models. - Jiluan Fan; Pei-Gen Ye; Anli Yan (DSPP (1), 2024)

Explanation-Guided Adversarial Example Attacks. - Anli Yan; Xiaozhang Liu; Wanman Li; Hongwei Ye; Lang Li (Big Data Res., 2024)

Are You Copying My Prompt? Protecting the Copyright of Vision Prompt for VPaaS via Watermark. - Huali Ren; Anli Yan; Chong-zhi Gao; Hongyang Yan; Zhenxin Zhang; Jin Li 002 (CoRR, 2024)

MTL-Leak: Privacy Risk Assessment in Multi-Task Learning. - Hongyang Yan; Anli Yan; Li Hu; Jiaming Liang; Haibo Hu 001 (IEEE Trans. Dependable Secur. Comput., 2024)

Defenses to Membership Inference Attacks: A Survey. - Li Hu; Anli Yan; Hongyang Yan; Jin Li 002; Teng Huang 001; Yingying Zhang; Changyu Dong; Chunsheng Yang (ACM Comput. Surv., 2024)

Bag of tricks for backdoor learning. - Ruitao Hou; Anli Yan; Hongyang Yan; Teng Huang 001 (Wirel. Networks, 2024)

Distraction is All You Need for Multimodal Large Language Model Jailbreaking. - Zuopeng Yang; Jiluan Fan; Anli Yan; Erdun Gao; Xin Lin; Tao Li; Kanghua Mo; Changyu Dong (CVPR, 2025)

Are you copying my prompt? Protecting the copyright of vision prompt for VPaaS via watermarking. - Huali Ren; Anli Yan; Lang Li; Zhenxin Zhang; Ning Li; Chong-zhi Gao (Comput. Stand. Interfaces, 2025)