Renyang Liu

Orcid: 0000-0002-7121-1257

Affiliations:

National University of Singapore, College of Computing and Data Science, Singapore
Yunnan University, School of Information Science and Engineering, Kunming, China

According to our database¹, Renyang Liu authored at least 36 papers between 2021 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

CAAP: Capture-Aware Adversarial Patch Attacks on Palmprint Recognition Models.

[BibT_eX]

[DOI]

CoRR, April, 2026

REFORGE: Multi-modal Attacks Reveal Vulnerable Concept Unlearning in Image Generation Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models.

[BibT_eX]

[DOI]

CoRR, January, 2026

Memory poisoning attacks on retrieval-augmented Large Language Model agents via deceptive semantic reasoning.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2026

PWAVEP: Purifying Imperceptible Adversarial Perturbations in 3D Point Clouds via Spectral Graph Wavelets.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

Correct When Paired, Wrong When Split: Decoupling and Editing Modality-Specific Neurons in MLLMs.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

FACTGUARD: Event-Centric and Commonsense-Guided Fake News Detection.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Image Can Bring Your Memory Back: A Novel Multi-Modal Guided Attack against Image Generation Model Unlearning.

[BibT_eX]

[DOI]

CoRR, July, 2025

MBA: Multimodal Bidirectional Attack for Referring Expression Segmentation Models.

[BibT_eX]

[DOI]

CoRR, June, 2025

IPAttack: imperceptible adversarial patch to attack object detectors.

[BibT_eX]

[DOI]

Appl. Intell., April, 2025

Post-Deployment Fine-Tunable Semantic Communication.

[BibT_eX]

[DOI]

IEEE Trans. Wirel. Commun., January, 2025

STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-Box Scenario.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2025

Micro_NesT: multi-scale attention enhanced micro-expression recognition framework.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2025

Pseudo-label attention-based multiple instance learning for whole slide image classification.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

<i>D-Judge</i>: How Far Are We? Assessing the Discrepancies Between AI-synthesized and Natural Images through Multimodal Guidance.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Rethinking Machine Unlearning in Image Generation Models.

[BibT_eX]

[DOI]

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

2024

DTA: distribution transform-based attack for query-limited scenario.

[BibT_eX]

[DOI]

Cybersecur., December, 2024

Exploiting Type I Adversarial Examples to Hide Data Information: A New Privacy-Preserving Approach.

[BibT_eX]

[DOI]

IEEE Trans. Emerg. Top. Comput. Intell., June, 2024

Can LSH (locality-sensitive hashing) be replaced by neural network?

[BibT_eX]

[DOI]

Soft Comput., January, 2024

Boosting Black-Box Attack to Deep Neural Networks With Conditional Diffusion Models.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

ANID: How Far Are We? Evaluating the Discrepancies Between AI-synthesized Images and Natural Images through Multimodal Guidance.

[BibT_eX]

[DOI]

CoRR, 2024

CNFA: Conditional Normalizing Flow for Query-Limited Attack.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

SSTA: Salient Spatially Transformed Attack.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Fine-Tunable Semantic Communication for Image Transmission.

[BibT_eX]

[DOI]

Proceedings of the 10th International Conference on Big Data Computing and Communications, 2024

2023

DualFlow: Generating imperceptible adversarial examples by flow field and normalize flow-based model.

[BibT_eX]

[DOI]

Frontiers Neurorobotics, June, 2023

Type-I Generative Adversarial Attack.

[BibT_eX]

[DOI]

IEEE Trans. Dependable Secur. Comput., 2023

SSTA: Salient Spatially Transformed Attack.

[BibT_eX]

[DOI]

CoRR, 2023

Double-Flow-based Steganography without Embedding for Image-to-Image Hiding.

[BibT_eX]

[DOI]

CoRR, 2023

Model Inversion Attacks on Homogeneous and Heterogeneous Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2023

SCME: A Self-contrastive Method for Data-Free and Query-Limited Model Extraction Attack.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

AFLOW: Developing Adversarial Examples Under Extremely Noise-Limited Settings.

[BibT_eX]

[DOI]

Proceedings of the Information and Communications Security - 25th International Conference, 2023

DeepLSH: A Deep Learning-based Locality Sensitive Hash Method.

[BibT_eX]

[DOI]

Proceedings of the 15th International Conference on Digital Image Processing, 2023

Rewriting-Stego: Generating Natural and Controllable Steganographic Text with Pre-trained Language Model.

[BibT_eX]

[DOI]

Proceedings of the Database Systems for Advanced Applications, 2023

2022

SMDAF: A novel keypoint based method for copy-move forgery detection.

[BibT_eX]

[DOI]

IET Image Process., 2022

RIA: A Reversible Network-based Imperceptible Adversarial Attack.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022

2021

EnsembleFool: A method to generate adversarial examples based on model fusion strategy.

[BibT_eX]

[DOI]

Comput. Secur., 2021

Renyang Liu

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