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Shaofeng 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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last updated on 2025-11-26 08:26 CET by the dblp team
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