Chenqi Kong

Orcid: 0000-0002-3958-6489

According to our database¹, Chenqi Kong authored at least 36 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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Bibliography

2026

StegaFFD: Privacy-preserving Face Forgery Detection via Fine-grained Steganographic Domain Lifting.

[BibT_eX]

[DOI]

Mach. Intell. Res., April, 2026

Adversarial Prompt Injection Attack on Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

SAKED: Mitigating Hallucination in Large Vision-Language Models via Stability-Aware Knowledge Enhanced Decoding.

[BibT_eX]

[DOI]

CoRR, February, 2026

Feature-Space Adversarial Robustness Certification for Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, January, 2026

Propose and Rectify: A Forensics-Driven MLLM Framework for Image Manipulation Localization.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2026

MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2026

SAVER: Mitigating Hallucinations in Large Vision-Language Models via Style-Aware Visual Early Revision.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Sparse by Rule: Probability-Based N:M Pruning for Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, November, 2025

Learning from Dense Events: Towards Fast Spiking Neural Networks Training via Event Dataset Distillation.

[BibT_eX]

[DOI]

CoRR, November, 2025

ForensicsSAM: Toward Robust and Unified Image Forgery Detection and Localization Resisting to Adversarial Attack.

[BibT_eX]

[DOI]

CoRR, August, 2025

Pixel-Inconsistency Modeling for Image Manipulation Localization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

Forgery-Aware Adaptive Learning With Vision Transformer for Generalized Face Forgery Detection.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., May, 2025

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation.

[BibT_eX]

[DOI]

CoRR, April, 2025

Image Provenance Analysis via Graph Encoding With Vision Transformer.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

Toward Model Resistant to Transferable Adversarial Examples via Trigger Activation.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2025

MTL-UE: Learning to Learn Nothing for Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Temporal Unlearnable Examples: Preventing Personal Video Data from Unauthorized Exploitation by Object Tracking.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Vid-Group: Temporal Video Grounding Pretraining from Unlabeled Videos in the Wild.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning.

[BibT_eX]

[DOI]

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Beyond the Prior Forgery Knowledge: Mining Critical Clues for General Face Forgery Detection.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

S-Adapter: Generalizing Vision Transformer for Face Anti-Spoofing With Statistical Tokens.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

M$^{3}$3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2024

Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wild.

[BibT_eX]

[DOI]

CoRR, 2024

Open-Set Deepfake Detection: A Parameter-Efficient Adaptation Method with Forgery Style Mixture.

[BibT_eX]

[DOI]

CoRR, 2024

MoE-FFD: Mixture of Experts for Generalized and Parameter-Efficient Face Forgery Detection.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Forgery-aware Adaptive Vision Transformer for Face Forgery Detection.

[BibT_eX]

[DOI]

CoRR, 2023

M3FAS: An Accurate and Robust MultiModal Mobile Face Anti-Spoofing System.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing General Face Forgery Detection via Vision Transformer with Low-Rank Adaptation.

[BibT_eX]

[DOI]

Chenqi Kong

Haoliang Li

Shiqi Wang

Proceedings of the 6th IEEE International Conference on Multimedia Information Processing and Retrieval, 2023

Two-Branch Multi-Scale Deep Neural Network for Generalized Document Recapture Attack Detection.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

No-Reference Image Quality Assessment by Hallucinating Pristine Features.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Beyond the Pixel World: A Novel Acoustic-Based Face Anti-Spoofing System for Smartphones.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-Level Telltales.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

Appearance Matters, So Does Audio: Revealing the Hidden Face via Cross-Modality Transfer.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2022

Digital and Physical Face Attacks: Reviewing and One Step Further.

[BibT_eX]

[DOI]

Chenqi Kong

Shiqi Wang

Haoliang Li

CoRR, 2022

Rethinking Attention-Model Explainability through Faithfulness Violation Test.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

Detect and Locate: A Face Anti-Manipulation Approach with Semantic and Noise-level Supervision.

[BibT_eX]

[DOI]

CoRR, 2021

Chenqi Kong

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