Qingming Li
Orcid: 0000-0001-7410-4345
According to our database1,
Qingming Li
authored at least 42 papers
between 2018 and 2025.
Collaborative distances:
Collaborative distances:
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Bibliography
2025
IPIGuard: A Novel Tool Dependency Graph-Based Defense Against Indirect Prompt Injection in LLM Agents.
CoRR, August, 2025
Enkidu: Universal Frequential Perturbation for Real-Time Audio Privacy Protection against Voice Deepfakes.
CoRR, July, 2025
CoRR, July, 2025
IEEE Internet Things J., May, 2025
CoRR, May, 2025
IEEE Internet Things J., April, 2025
UNIDOOR: A Universal Framework for Action-Level Backdoor Attacks in Deep Reinforcement Learning.
CoRR, January, 2025
Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data.
CoRR, January, 2025
VFGCN: A Vertical Federated Learning Framework With Privacy Preserving for Graph Convolutional Network.
IEEE Trans. Dependable Secur. Comput., 2025
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
TWIST: Text-encoder Weight-editing for Inserting Secret Trojans in Text-to-Image Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
IEEE Internet Things J., July, 2024
IEEE Trans. Signal Process., 2024
CoRR, 2024
Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents.
CoRR, 2024
CoRR, 2024
Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning.
CoRR, 2024
CoRR, 2024
Could It Be Generated? Towards Practical Analysis of Memorization in Text-To-Image Diffusion Models.
CoRR, 2024
FedSGProx: Mitigating Data Heterogeneity and Isolated Nodes in Graph Federated Learning.
Proceedings of the 23rd IEEE International Conference on Trust, 2024
A Huber Loss Minimization Approach to Mean Estimation under User-level Differential Privacy.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
AdaFL: Adaptive Client Selection and Dynamic Contribution Evaluation for Efficient Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2024
2023
Knowl. Based Syst., October, 2023
Modelling Projection Bias in Intertemporal Choices: A Prospect Theory Based Approach.
CoRR, 2023
Pacos: Modeling Users' Interpretable and Context-Dependent Choices in Preference Reversals.
CoRR, 2023
Position Weighted Convolutional Neural Network for Unbalanced Children Caries Diagnosis.
IEEE Access, 2023
IEEE Access, 2023
2022
Integrating Reinforcement Learning and Optimal Power Dispatch to Enhance Power Grid Resilience.
IEEE Trans. Circuits Syst. II Express Briefs, 2022
2021
IEEE Trans. Signal Process., 2021
CoRR, 2021
Proceedings of the PRICAI 2021: Trends in Artificial Intelligence, 2021
2020
Prediction Model and Application Case of Rock Drillability based on Acoustic Velocity.
Proceedings of the EEET 2020: 3rd International Conference on Electronics and Electrical Engineering Technology, 2020
2019
Low-pass-filter-based shock response spectrum and the evaluation method of transmissibility between equipment and sensitive components interfaces.
CoRR, 2019
Proceedings of the ICCSE'19: The 4th International Conference on Crowd Science and Engineering, Jinan, China, October 18, 2019
2018
Prima: Probabilistic Ranking with Inter-Item Competition and Multi-Attribute Utility Function.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018