Changjiang Li

Orcid: 0000-0002-1671-7183

According to our database¹, Changjiang Li authored at least 24 papers between 2018 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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On csauthors.net:

Bibliography

2024

When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done?

[BibT_eX]

[DOI]

CoRR, 2024

2023

An Efficient Channel Attention-Enhanced Lightweight Neural Network Model for Metal Surface Defect Detection.

[BibT_eX]

[DOI]

J. Circuits Syst. Comput., August, 2023

A multi-level analysis method for evaluating the risk of roof caving and its application.

[BibT_eX]

[DOI]

J. Intell. Fuzzy Syst., 2023

On the Difficulty of Defending Contrastive Learning against Backdoor Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

Model Extraction Attacks Revisited.

[BibT_eX]

[DOI]

CoRR, 2023

Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention.

[BibT_eX]

[DOI]

CoRR, 2023

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks.

[BibT_eX]

[DOI]

CoRR, 2023

On the Security Risks of Knowledge Graph Reasoning.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The Dark Side of AutoML: Towards Architectural Backdoor Search.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2022

Hijack Vertical Federated Learning Models with Adversarial Embedding.

[BibT_eX]

[DOI]

CoRR, 2022

Demystifying Self-supervised Trojan Attacks.

[BibT_eX]

[DOI]

CoRR, 2022

Reasoning over Multi-view Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era.

[BibT_eX]

[DOI]

Proceedings of the 31st USENIX Security Symposium, 2022

Residual learning network for accurate and stable reconstruction in Cerenkov luminescence tomography.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021

Towards Robust Reasoning over Knowledge Graphs.

[BibT_eX]

[DOI]

CoRR, 2021

2020

A Generic Anomaly Detection of Catenary Support Components Based on Generative Adversarial Networks.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2020

Deep learning-based visual ensemble method for high-speed railway catenary clevis fracture detection.

[BibT_eX]

[DOI]

Neurocomputing, 2020

2019

A GAN-Based Anomaly Detection Method for Isoelectric Line in High-Speed Railway.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

DeT: Defending Against Adversarial Examples via Decreasing Transferability.

[BibT_eX]

[DOI]

Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

2018

A High-Precision Loose Strands Diagnosis Approach for Isoelectric Line in High-Speed Railway.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Informatics, 2018

Changjiang Li

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