Mengnan Zhao

Orcid: 0000-0001-8319-4266

Affiliations:

Anhui University, School of Computer Science and Technology, Hefei, China
Dalian University of Technology, School of Information and Communication Engineering, Dalian, China

According to our database¹, Mengnan Zhao authored at least 22 papers between 2020 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Channel-Level Semantic Perturbations: Unlearnable Examples for Diverse Training Paradigms.

[BibT_eX]

[DOI]

CoRR, May, 2026

Unveiling the Backdoor Mechanism Hidden Behind Catastrophic Overfitting in Fast Adversarial Training.

[BibT_eX]

[DOI]

CoRR, April, 2026

Mitigating Error Amplification in Fast Adversarial Training.

[BibT_eX]

[DOI]

CoRR, April, 2026

DualVeil: Persistent and invisible backdoor attacks in federated learning via dual optimization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2026

Stealthy Backdoor Carriers: The Threat of Visual Prompts to CLIP.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2026

EipFormer: Enhancing 3D instance segmentation by emphasizing instance positions.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2026

2025

AdvAnchor: Enhancing Diffusion Model Unlearning with Adversarial Anchors.

[BibT_eX]

[DOI]

CoRR, January, 2025

CollabLearn: Propelling Weakly-Supervised Referring Image Segmentation Through Collaboration Between Semantics and Details.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

2024

Adversarial Attacks on Scene Graph Generation.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Class correlation correction for unbiased scene graph generation.

[BibT_eX]

[DOI]

Pattern Recognit., 2024

Adversarial Training: A Survey.

[BibT_eX]

[DOI]

CoRR, 2024

Separable Multi-Concept Erasure from Diffusion Models.

[BibT_eX]

[DOI]

CoRR, 2024

Catastrophic Overfitting: A Potential Blessing in Disguise.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Temporal knowledge graph reasoning triggered by memories.

[BibT_eX]

[DOI]

Appl. Intell., December, 2023

Protecting by attacking: A personal information protecting method with cross-modal adversarial examples.

[BibT_eX]

[DOI]

Neurocomputing, September, 2023

EipFormer: Emphasizing Instance Positions in 3D Instance Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Fast Adversarial Training with Smooth Convergence.

[BibT_eX]

[DOI]

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

2022

Guided Erasable Adversarial Attack (GEAA) Toward Shared Data Protection.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2022

2021

Are You Confident That You Have Successfully Generated Adversarial Examples?

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Adversarial Analysis for Source Camera Identification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Virtual Sample Generation and Ensemble Learning Based Image Source Identification With Small Training Samples.

[BibT_eX]

[DOI]

Int. J. Digit. Crime Forensics, 2021

2020

Source Camera Identification Based on Coupling Coding and Adaptive Filter.

[BibT_eX]

[DOI]

IEEE Access, 2020

Mengnan Zhao

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