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ORCIDShaofeng Li 0001
Person information
- unicode name: 李少锋
- affiliation: Southeast University (SEU), Nanjing, China
- affiliation: Peng Cheng Laboratory, Shenzhen, China
- affiliation: Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China
Other persons with the same name
- Shaofeng Li (aka: Shao-Feng Li) — disambiguation page
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2020 – today
- 2025
[j6]Jiayong Wu
, Weina Niu, Fushan Wei, Shaofeng Li, Shiping Huang, Jiacheng Gong, Xiaosong Zhang:
DLET-Classifier: A Dynamic and Lightweight Method for Encrypted Traffic Classification. IEEE Internet Things J. 12(20): 42250-42262 (2025)- [j5]Kunlan Xiang, Haomiao Yang, Meng Hao, Shaofeng Li, Haoxin Wang, Zikang Ding, Wenbo Jiang, Tianwei Zhang:
The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks Through Model Poisoning. IEEE Trans. Inf. Forensics Secur. 20: 11477-11488 (2025) - [c16]Tian Dong, Minhui Xue, Guoxing Chen, Rayne Holland, Yan Meng, Shaofeng Li, Zhen Liu, Haojin Zhu:
The Philosopher's Stone: Trojaning Plugins of Large Language Models. NDSS 2025 - [c15]Tian Dong, Yan Meng, Shaofeng Li, Guoxing Chen, Zhen Liu, Haojin Zhu:
Depth Gives a False Sense of Privacy: LLM Internal States Inversion. USENIX Security Symposium 2025: 1629-1648 - [i15]Yunmeng Shu, Shaofeng Li, Tian Dong, Yan Meng, Haojin Zhu:
Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory. CoRR abs/2501.05965 (2025) - [i14]Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Zikang Ding, Tianwei Zhang:
The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning. CoRR abs/2502.04106 (2025) - [i13]Lu Chen, Han Yang, Hu Wang, Yuxin Cao, Shaofeng Li, Yuan Luo:
Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs. CoRR abs/2506.12875 (2025) - [i12]Tian Dong, Yan Meng, Shaofeng Li, Guoxing Chen, Zhen Liu, Haojin Zhu:
Depth Gives a False Sense of Privacy: LLM Internal States Inversion. CoRR abs/2507.16372 (2025) - [i11]Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Wenbo Jiang:
BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting. CoRR abs/2508.04189 (2025) - 2024
- [b1]Shaofeng Li, Haojin Zhu, Wen Wu, Xuemin (Sherman) Shen:
Backdoor Attacks against Learning-Based Algorithms. Wireless Networks, Springer 2024, ISBN 978-3-031-57388-0, pp. 1-153 - [c14]Shengbo Liu, Wen Wu, Shaofeng Li, Tom H. Luan, Ning Zhang:
Digital Twin-Assisted Adaptive Preloading for Short Video Streaming. ICC 2024: 1431-1436 - [c13]Zhiyong Liu, Le Yu, Tian Dong, Yan Meng, Shaofeng Li, Guoxing Chen, Haojin Zhu:
Inferring Activities and Profiles of Users Based on Trajectory Leakage in Mobile Ad Network. MSN 2024: 545-552 - [c12]Yihe Fan, Yuxin Cao, Ziyu Zhao, Ziyao Liu, Shaofeng Li:
Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security. SMC 2024: 3428-3433 - [c11]Shaofeng Li, Xinyu Wang, Minhui Xue, Haojin Zhu, Zhi Zhang, Yansong Gao, Wen Wu, Xuemin (Sherman) Shen:
Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection. USENIX Security Symposium 2024 - [i10]Lu Chen, Shaofeng Li, Benhao Huang, Fan Yang, Zheng Li, Jie Li, Yuan Luo:
Seeing is not always believing: The Space of Harmless Perturbations. CoRR abs/2402.02095 (2024) - [i9]Yihe Fan, Yuxin Cao, Ziyu Zhao, Ziyao Liu, Shaofeng Li:
Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security. CoRR abs/2404.05264 (2024) - 2023
- [j4]Jiachun Li, Weijiong Zhang, Yan Meng, Shaofeng Li, Lichuan Ma, Zhen Liu, Haojin Zhu:
Secure and Efficient UAV Tracking in Space-Air-Ground Integrated Network. IEEE Trans. Veh. Technol. 72(8): 10682-10695 (2023) - [c10]Hui Liu, Hongzhi Luo, Shaofeng Li, Tian Dong, Guoxing Chen, Yan Meng, Haojin Zhu:
Privacy Computing with Right to Be Forgotten in Trusted Execution Environment. GLOBECOM 2023: 2566-2571 - [c9]Shaofeng Li, Wen Wu, Yan Meng, Jiachun Li, Haojin Zhu, Xuemin Sherman Shen:
Data Poisoning Attack Against Anomaly Detectors in Digital Twin-Based Networks. ICC 2023: 13-18 - [c8]Yan Meng, Jiachun Li, Fazhong Liu, Shaofeng Li, Haotian Hu, Haojin Zhu:
GB-IDS: An Intrusion Detection System for CAN Bus Based on Graph Analysis. ICCC 2023: 1-6 - [c7]Songge Zhang, Haoyu Tu, Zuguang Li, Shengbo Liu, Shaofeng Li, Wen Wu, Xuemin Sherman Shen:
Cluster-HSFL: A Cluster-Based Hybrid Split and Federated Learning. ICCC 2023: 1-2 - [c6]Songge Zhang, Wen Wu, Penghui Hu, Shaofeng Li, Ning Zhang:
Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks. ICDCS 2023: 985-986 - [c5]Tian Dong, Shaofeng Li, Guoxing Chen, Minhui Xue, Haojin Zhu, Zhen Liu:
RAI2: Responsible Identity Audit Governing the Artificial Intelligence. NDSS 2023 - [c4]Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal:
Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors. ESEC/SIGSOFT FSE 2023: 1573-1585 - [d2]Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal:
An Explainability-Guided Testing Framework for Robustness of Malware Detectors. Version 1. Zenodo, 2023 [all versions]
- [d1]Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal:
An Explainability-Guided Testing Framework for Robustness of Malware Detectors. Version 2. Zenodo, 2023 [all versions] - [i8]Songge Zhang, Wen Wu, Penghui Hu, Shaofeng Li, Ning Zhang:
Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks. CoRR abs/2305.18889 (2023) - [i7]Shengbo Liu, Wen Wu, Shaofeng Li, Tom H. Luan, Xuemin Shen:
Digital Twin-Assisted Adaptive Preloading for Short Video Streaming. CoRR abs/2307.07836 (2023) - [i6]Tian Dong, Guoxing Chen, Shaofeng Li, Minhui Xue, Rayne Holland, Yan Meng, Zhen Liu, Haojin Zhu:
Unleashing Cheapfakes through Trojan Plugins of Large Language Models. CoRR abs/2312.00374 (2023) - 2022
- [j3]Shaofeng Li, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Suguo Du, Haojin Zhu:
Backdoors Against Natural Language Processing: A Review. IEEE Secur. Priv. 20(5): 50-59 (2022) - [c3]Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue:
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations. CVPR 2022: 13420-13429 - [p1]Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao:
Deep Learning Backdoors. Security and Artificial Intelligence 2022: 313-334 - [i5]Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue:
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations. CoRR abs/2202.08602 (2022) - 2021
- [j2]Yiting Qu, Suguo Du, Shaofeng Li, Yan Meng, Le Zhang, Haojin Zhu:
Automatic Permission Optimization Framework for Privacy Enhancement of Mobile Applications. IEEE Internet Things J. 8(9): 7394-7406 (2021) - [j1]Shaofeng Li, Minhui Xue, Benjamin Zi Hao Zhao, Haojin Zhu, Xinpeng Zhang:
Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization. IEEE Trans. Dependable Secur. Comput. 18(5): 2088-2105 (2021) - [c2]Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, Jialiang Lu:
Hidden Backdoors in Human-Centric Language Models. CCS 2021: 3123-3140 - [c1]Binhan Xi, Shaofeng Li, Jiachun Li, Hui Liu, Hong Liu, Haojin Zhu:
BatFL: Backdoor Detection on Federated Learning in e-Health. IWQoS 2021: 1-10 - [i4]Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, Jialiang Lu:
Hidden Backdoors in Human-Centric Language Models. CoRR abs/2105.00164 (2021) - [i3]Wei Wang, Ruoxi Sun, Tian Dong, Shaofeng Li, Minhui Xue, Gareth Tyson, Haojin Zhu:
Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks. CoRR abs/2111.10085 (2021) - 2020
- [i2]Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao:
Deep Learning Backdoors. CoRR abs/2007.08273 (2020)
2010 – 2019
- 2019
- [i1]Shaofeng Li, Benjamin Zi Hao Zhao, Jiahao Yu, Minhui Xue, Dali Kaafar, Haojin Zhu:
Invisible Backdoor Attacks Against Deep Neural Networks. CoRR abs/1909.02742 (2019)
Coauthor Index
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