Qingming Li

Orcid: 0000-0001-7410-4345

According to our database1, Qingming Li authored at least 42 papers between 2018 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
VideoEraser: Concept Erasure in Text-to-Video Diffusion Models.
CoRR, August, 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

LoRAShield: Data-Free Editing Alignment for Secure Personalized LoRA Sharing.
CoRR, July, 2025

Efficient Encrypted Trajectory Similarity Query Over Mobile E-Health Cloud.
IEEE Internet Things J., May, 2025

VModA: An Effective Framework for Adaptive NSFW Image Moderation.
CoRR, May, 2025

Poison in the Well: Feature Embedding Disruption in Backdoor Attacks.
CoRR, May, 2025

Robust and Secure Aggregation Scheme for Federated Learning.
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

Enhancing Adversarial Transferability via Self-Ensemble Feature Alignment.
Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

Enhancing Learning with Label Differential Privacy by Vector Approximation.
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

CAMH: Advancing Model Hijacking Attack in Machine Learning.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
FVFL: A Flexible and Verifiable Privacy-Preserving Federated Learning Scheme.
IEEE Internet Things J., July, 2024

Probe: Learning Users' Personal Projection Bias in Inter-Temporal Choices.
IEEE Trans. Signal Process., 2024

AEIOU: A Unified Defense Framework against NSFW Prompts in Text-to-Image Models.
CoRR, 2024

Navigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents.
CoRR, 2024

Learning with User-Level Local Differential Privacy.
CoRR, 2024

Enhancing Learning with Label Differential Privacy by Vector Approximation.
CoRR, 2024

Emulating Full Client Participation: A Long-Term Client Selection Strategy for Federated Learning.
CoRR, 2024

A Stealthy Backdoor Attack for Without-Label-Sharing Split Learning.
CoRR, 2024

How to Train a Backdoor-Robust Model on a Poisoned Dataset without Auxiliary Data?
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
<i>Pacos</i>: Modeling preference reversals in users' context-dependent choices.
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

Performance Evaluation System Based on Multi-Indicators for Signal Recognition.
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
PRIMA++: A Probabilistic Framework for User Choice Modelling With Small Data.
IEEE Trans. Signal Process., 2021

A homogenized damping model for the propagation of elastic wave in a porous solid.
CoRR, 2021

Consistency Regularization for Ensemble Model Based Reinforcement Learning.
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

Statistical and Machine Learning-based E-commerce Sales Forecasting.
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


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