Changjiang Li

Orcid: 0000-0001-7202-6494

According to our database1, Changjiang Li authored at least 45 papers between 2018 and 2025.

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

Timeline

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Bibliography

2025
Reasoning or Retrieval? A Study of Answer Attribution on Large Reasoning Models.
CoRR, September, 2025

Automatic Red Teaming LLM-based Agents with Model Context Protocol Tools.
CoRR, September, 2025

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

Your Agent Can Defend Itself against Backdoor Attacks.
CoRR, June, 2025

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

On the Security Risks of ML-based Malware Detection Systems: A Survey.
CoRR, May, 2025

GraphRAG under Fire.
CoRR, January, 2025

Invisible-Face: Rethinking Facial Attribute Privacy in Social Media Photo Sharing.
IEEE Trans. Inf. Forensics Secur., 2025

Research on Power Load Prediction and Dynamic Power Management of Trailing Suction Hopper Dredger.
Symmetry, 2025

Three-Dimensional Path Planning for AUVs Based on Interval Multi-Objective Secretary Bird Optimization Algorithm.
Symmetry, 2025

PRSA: Prompt Stealing Attacks against Real-World Prompt Services.
Proceedings of the 34th USENIX Security Symposium, 2025

Watch the Watchers! On the Security Risks of Robustness-Enhancing Diffusion Models.
Proceedings of the 34th USENIX Security Symposium, 2025

RobustKV: Defending Large Language Models against Jailbreak Attacks via KV Eviction.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

RAPID: Retrieval Augmented Training of Differentially Private Diffusion Models.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

You Can't Steal Nothing: Mitigating Prompt Leakages in LLMs via System Vectors.
Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

AIA: Autoregression-Based Injection Attacks Against Text2SQL Models.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
AMPpred-MFA: An Interpretable Antimicrobial Peptide Predictor with a Stacking Architecture, Multiple Features, and Multihead Attention.
J. Chem. Inf. Model., 2024

High-quality matched transfer generation adversarial network for synthetic cross-material surface defect images.
Digit. Signal Process., 2024

CopyrightMeter: Revisiting Copyright Protection in Text-to-image Models.
CoRR, 2024

Watch the Watcher! Backdoor Attacks on Security-Enhancing Diffusion Models.
CoRR, 2024

Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective.
CoRR, 2024

On the Difficulty of Defending Contrastive Learning against Backdoor Attacks.
Proceedings of the 33rd USENIX Security Symposium, 2024

Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention.
Proceedings of the 31st Annual Network and Distributed System Security Symposium, 2024

When Large Language Models Confront Repository-Level Automatic Program Repair: How Well They Done?
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Towards Query-Efficient Decision-Based Adversarial Attacks Through Frequency Domain.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

Model Extraction Attacks Revisited.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023
An Efficient Channel Attention-Enhanced Lightweight Neural Network Model for Metal Surface Defect Detection.
J. Circuits Syst. Comput., August, 2023

A multi-level analysis method for evaluating the risk of roof caving and its application.
J. Intell. Fuzzy Syst., 2023

On the Security Risks of Knowledge Graph Reasoning.
Proceedings of the 32nd USENIX Security Symposium, 2023

Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks.
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.
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.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

An Embarrassingly Simple Backdoor Attack on Self-supervised Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Towards Certifying the Asymmetric Robustness for Neural Networks: Quantification and Applications.
IEEE Trans. Dependable Secur. Comput., 2022

Hijack Vertical Federated Learning Models with Adversarial Embedding.
CoRR, 2022

Demystifying Self-supervised Trojan Attacks.
CoRR, 2022

Reasoning over Multi-view Knowledge Graphs.
CoRR, 2022

Seeing is Living? Rethinking the Security of Facial Liveness Verification in the Deepfake Era.
Proceedings of the 31st USENIX Security Symposium, 2022

Residual learning network for accurate and stable reconstruction in Cerenkov luminescence tomography.
Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

2021
Towards Robust Reasoning over Knowledge Graphs.
CoRR, 2021

2020
A Generic Anomaly Detection of Catenary Support Components Based on Generative Adversarial Networks.
IEEE Trans. Instrum. Meas., 2020

Deep learning-based visual ensemble method for high-speed railway catenary clevis fracture detection.
Neurocomputing, 2020

2019
A GAN-Based Anomaly Detection Method for Isoelectric Line in High-Speed Railway.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2019

DeT: Defending Against Adversarial Examples via Decreasing Transferability.
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.
IEEE Trans. Ind. Informatics, 2018


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