Shaofeng Li

Orcid: 0000-0002-1491-4319

Affiliations:

Southeast University (SEU), Nanjing, China
Peng Cheng Laboratory, Shenzhen, China
Shanghai Jiao Tong University, Department of Computer Science and Engineering, Shanghai, China

According to our database¹, Shaofeng Li authored at least 34 papers between 2019 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

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Other

Bibliography

2025

BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting.

[BibT_eX]

[DOI]

CoRR, August, 2025

Depth Gives a False Sense of Privacy: LLM Internal States Inversion.

[BibT_eX]

[DOI]

CoRR, July, 2025

Intriguing Frequency Interpretation of Adversarial Robustness for CNNs and ViTs.

[BibT_eX]

[DOI]

CoRR, June, 2025

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning.

[BibT_eX]

[DOI]

CoRR, February, 2025

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory.

[BibT_eX]

[DOI]

CoRR, January, 2025

The Philosopher's Stone: Trojaning Plugins of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 32nd Annual Network and Distributed System Security Symposium, 2025

2024

Backdoor Attacks against Learning-Based Algorithms

[BibT_eX]

[DOI]

Shaofeng Li

Haojin Zhu

Wen Wu

Xuemin (Sherman) Shen

Wireless Networks, Springer, ISBN: 978-3-031-57388-0, 2024

Seeing is not always believing: The Space of Harmless Perturbations.

[BibT_eX]

[DOI]

CoRR, 2024

Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection.

[BibT_eX]

[DOI]

Xuemin (Sherman) Shen

Proceedings of the 33rd USENIX Security Symposium, 2024

Unbridled Icarus: A Survey of the Potential Perils of Image Inputs in Multimodal Large Language Model Security.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2024

Inferring Activities and Profiles of Users Based on Trajectory Leakage in Mobile Ad Network.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Mobility, Sensing and Networking, 2024

Digital Twin-Assisted Adaptive Preloading for Short Video Streaming.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2024

2023

Secure and Efficient UAV Tracking in Space-Air-Ground Integrated Network.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., August, 2023

An Explainability-Guided Testing Framework for Robustness of Malware Detectors.

[BibT_eX]

[DOI]

Dataset, August, 2023

An Explainability-Guided Testing Framework for Robustness of Malware Detectors.

[BibT_eX]

[DOI]

Dataset, August, 2023

Unleashing Cheapfakes through Trojan Plugins of Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Digital Twin-Assisted Adaptive Preloading for Short Video Streaming.

[BibT_eX]

[DOI]

CoRR, 2023

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

RAI2: Responsible Identity Audit Governing the Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Split Federated Learning: Speed up Model Training in Resource-Limited Wireless Networks.

[BibT_eX]

[DOI]

Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023

Cluster-HSFL: A Cluster-Based Hybrid Split and Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

GB-IDS: An Intrusion Detection System for CAN Bus Based on Graph Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CIC International Conference on Communications in China, 2023

Data Poisoning Attack Against Anomaly Detectors in Digital Twin-Based Networks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Communications, 2023

Privacy Computing with Right to Be Forgotten in Trusted Execution Environment.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

2022

Deep Learning Backdoors.

[BibT_eX]

[DOI]

Security and Artificial Intelligence, 2022

Backdoors Against Natural Language Processing: A Review.

[BibT_eX]

[DOI]

IEEE Secur. Priv., 2022

Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2021

Automatic Permission Optimization Framework for Privacy Enhancement of Mobile Applications.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2021

Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks.

[BibT_eX]

[DOI]

CoRR, 2021

BatFL: Backdoor Detection on Federated Learning in e-Health.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Hidden Backdoors in Human-Centric Language Models.

[BibT_eX]

[DOI]

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

2020

Deep Learning Backdoors.

[BibT_eX]

[DOI]

CoRR, 2020

2019

Invisible Backdoor Attacks Against Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Shaofeng Li

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