Anli Yan

According to our database, Anli Yan authored at least 28 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Bag of tricks for backdoor learning.

Ruitao Hou, Anli Yan, Hongyang Yan, Teng Huang

Wirel. Networks, November, 2024

Defenses to Membership Inference Attacks: A Survey.

Li Hu, Anli Yan, Hongyang Yan, Jin Li, Teng Huang, Yingying Zhang, Changyu Dong, Chunsheng Yang

ACM Comput. Surv., April, 2024

MTL-Leak: Privacy Risk Assessment in Multi-Task Learning.

Hongyang Yan, Anli Yan, Li Hu, Jiaming Liang, Haibo Hu

IEEE Trans. Dependable Secur. Comput., 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

CoRR, 2024

Explanation-Guided Adversarial Example Attacks.

Anli Yan, Xiaozhang Liu, Wanman Li, Hongwei Ye, Lang Li

Big Data Res., 2024

In-Context Learning with Differentially Private Text Sanitization in Large Language Models.

Jiluan Fan, Pei-Gen Ye, Anli Yan

Proceedings of the Data Security and Privacy Protection - Second International Conference, 2024

Zero-Shot Dense Retrieval Based on Query Expansion.

Yaqi Wu, Pengyu Chen, Ziyu Ding, Anli Yan

Proceedings of the Artificial Intelligence Security and Privacy, 2024

2023

Explanation-based data-free model extraction attacks.

Anli Yan, Ruitao Hou, Hongyang Yan, Xiaozhang Liu

World Wide Web (WWW), September, 2023

Holistic Implicit Factor Evaluation of Model Extraction Attacks.

Anli Yan, Hongyang Yan, Li Hu, Xiaozhang Liu, Teng Huang

IEEE Trans. Dependable Secur. Comput., 2023

Explanation leaks: Explanation-guided model extraction attacks.

Anli Yan, Teng Huang, Lishan Ke, Xiaozhang Liu, Qi Chen, Changyu Dong

Inf. Sci., 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

CoRR, 2023

Zeroth-Order Gradient Approximation Based DaST for Black-Box Adversarial Attacks.

Yanfei Zhu, Yaochi Zhao, Zhuhua Hu, Xiaozhang Liu, Anli Yan

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

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, Kanghua Mo, Wanqing Jie, Shiwen Zhang

Inf. Sci., 2022

Towards explainable model extraction attacks.

Anli Yan, Ruitao Hou, Xiaozhang Liu, Hongyang Yan, Teng Huang, Xianmin Wang

Int. J. Intell. Syst., 2022

DPCL: Contrastive representation learning with differential privacy.

Wenjun Li, Anli Yan, Di Wu, Taoyu Zhu, Teng Huang, Xuandi Luo, Shaowei Wang

Int. J. Intell. Syst., 2022

Kernel-based adversarial attacks and defenses on support vector classification.

Wanman Li, Xiaozhang Liu, Anli Yan, Jie Yang

Digit. Commun. Networks, 2022

Explanation-Guided Minimum Adversarial Attack.

Mingting Liu, Xiaozhang Liu, Anli Yan, Yuan Qi, Wei Li

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Towards Differentially Private Contrastive Learning.

Wenjun Li, Anli Yan, Taoyu Zhu, Teng Huang, Xuandi Luo, Shaowei Wang

Proceedings of the Machine Learning for Cyber Security - 4th International Conference, 2022

Detect Adversarial Examples by Using Feature Autoencoder.

Hongwei Ye, Xiaozhang Liu, Anli Yan, Lang Li, Xiulai Li

Proceedings of the Artificial Intelligence and Security - 8th International Conference, 2022

2021

Effective detection of mobile malware behavior based on explainable deep neural network.

Anli Yan, Zhenxiang Chen, Haibo Zhang, Lizhi Peng, Qiben Yan, Muhammad Umair Hassan, Chuan Zhao, Bo Yang

Neurocomputing, 2021

Querying little is enough: Model inversion attack via latent information.

Kanghua Mo, Xiaozhang Liu, Teng Huang, Anli Yan

Int. J. Intell. Syst., 2021

IEdroid: Detecting Malicious Android Network Behavior Using Incremental Ensemble of Ensembles.

Cong Liu, Anli Yan, Zhenxiang Chen, Haibo Zhang, Qiben Yan, Lizhi Peng, Chuan Zhao

Proceedings of the 27th IEEE International Conference on Parallel and Distributed Systems, 2021

2020

Towards Privacy-Preserving Aggregated Prediction from SPDZ.

Qi Zhao, Bo Zhang, Anli Yan, Shan Jing, Chuan Zhao

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

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

Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

2018

Neural Network Rule Extraction for Real Time Traffic Behavior Identification.

Anli Yan, Zhenxiang Chen, Lin Wang, Lizhi Peng, Muhammad Umair Hassan, Chuan Zhao

Proceedings of the 2018 International Conference on Security, 2018

TrafficPSSF: A Fast and An Effective Malware Detection Under Online and Offline.

Qi He, Zhenxiang Chen, Anli Yan, Lizhi Peng, Chuan Zhao, Yuliang Shi

Proceedings of the 2018 International Conference on Security, 2018