Yi Yu

Orcid: 0000-0003-2730-9553

Affiliations:

Nanyang Technological University, Singapore

According to our database¹, Yi Yu authored at least 44 papers between 2018 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

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

[BibT_eX]

[DOI]

Mach. Intell. Res., April, 2026

Multinoulli Extension: A Lossless Continuous Relaxation for Partition-Constrained Subset Selection.

[BibT_eX]

[DOI]

CoRR, March, 2026

Spectral Defense Against Resource-Targeting Attack in 3D Gaussian Splatting.

[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

Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks.

[BibT_eX]

[DOI]

CoRR, February, 2026

Make Anything Match Your Target: Universal Adversarial Perturbations against Closed-Source MLLMs via Multi-Crop Routed Meta Optimization.

[BibT_eX]

[DOI]

CoRR, January, 2026

Open-Set Anomaly Segmentation in Complex Scenarios.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2026

Transferable Adversarial Attack on Referring Video Object Segmentation.

[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

FairGU: Fairness-aware Graph Unlearning in Social Networks.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2026, 2026

From Pretrain to Pain: Adversarial Vulnerability of Video Foundation Models Without Task Knowledge.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 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

When Robots Obey the Patch: Universal Transferable Patch Attacks on Vision-Language-Action Models.

[BibT_eX]

[DOI]

CoRR, November, 2025

MambaTAD: When State-Space Models Meet Long-Range Temporal Action Detection.

[BibT_eX]

[DOI]

CoRR, November, 2025

Learning Representation and Synergy Invariances: A Povable Framework for Generalized Multimodal Face Anti-Spoofing.

[BibT_eX]

[DOI]

CoRR, November, 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

Reliable and Balanced Transfer Learning for Generalized Multimodal Face Anti-Spoofing.

[BibT_eX]

[DOI]

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

Screen Hijack: Visual Poisoning of VLM Agents in Mobile Environments.

[BibT_eX]

[DOI]

CoRR, June, 2025

Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation.

[BibT_eX]

[DOI]

CoRR, April, 2025

Robust and Transferable Backdoor Attacks Against Deep Image Compression With Selective Frequency Prior.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 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

Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Beyond Learned Metadata-Based Raw Image Reconstruction.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., December, 2024

Semantic Deep Hiding for Robust Unlearnable Examples.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2024

Single-Image Shadow Removal Using Deep Learning: A Comprehensive Survey.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Safeguarding Medical Image Segmentation Datasets against Unauthorized Training via Contour- and Texture-Aware Perturbations.

[BibT_eX]

[DOI]

CoRR, 2024

Transferable Adversarial Attacks on SAM and Its Downstream Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

HideMIA: Hidden Wavelet Mining for Privacy-Enhancing Medical Image Analysis.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mitigating the Curse of Dimensionality for Certified Robustness via Dual Randomized Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Benchmarking Adversarial Robustness of Image Shadow Removal with Shadow-Adaptive Attacks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Unlearnable Examples Detection via Iterative Filtering.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2024, 2024

Towards Physical World Backdoor Attacks Against Skeleton Action Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ExposureDiffusion: Learning to Expose for Low-light Image Enhancement.

[BibT_eX]

[DOI]

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

Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Raw Image Reconstruction with Learned Compact Metadata.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2018

Classification of Pancreatic Cystic Neoplasms Based on Multimodality Images.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning in Medical Imaging - 9th International Workshop, 2018

Yi Yu

Timeline

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