Shilin Lu

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I am a third-year Ph.D. student at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore, where I have the privilege of being supervised by Dr. Yanzhu Liu and Prof. Adams Wai-Kin Kong.

Prior to this, I earned my Master’s degree at School of Electrical and Electronic Engineering, NTU, under the guidance of Dr. Siyuan Yang and Prof. Alex Chichung Kot. I completed my Bachelor’s degree at Shandong University (SDU), where I was fortunate to be mentored by Prof. Chengyou Wang, whose meticulous and dedicated guidance laid the foundation for my future research endeavors.

Research Interests

My interests lie in Generative Models and AI Security. Currently, I am engaged in exploring the potential of large-scale generative models for applications in images, videos, and 3D scenes. Meanwhile, I am committed to addressing the security, privacy, and copyright challenges these models pose, with the aim of enhancing their practical applications while mitigating societal risks.


News

Jan 23, 2025 One paper is accepted by ICLR 2025.
Feb 27, 2024 One paper is accepted by CVPR 2024.
Jul 21, 2023 One paper is accepted by ICCV 2023.

Selected Publications

2025

  1. ICLR 2025
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    Robust Watermarking Using Generative Priors Against Image Editing: From Benchmarking to Advances
    Shilin Lu, Zihan Zhou, Jiayou Lu, Yuanzhi Zhu, and Adams Wai-Kin Kong
    International Conference on Learning Representations (ICLR), 2025
  2. Preprint
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    All That Glitters Is Not Gold: Key-Secured 3D Secrets within 3D Gaussian Splatting
    Yan Ren, Shilin Lu, and Adams Wai-Kin Kong
    Preprint, 2025

2024

  1. CVPR 2024
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    Mace: Mass Concept Erasure in Diffusion Models
    Shilin Lu, Zilan Wang, Leyang Li, Yanzhu Liu, and Adams Wai-Kin Kong
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  2. Preprint
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    EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
    Daiheng Gao, Shilin Lu, Shaw Walters, Wenbo Zhou, Jiaming Chu, and 6 more authors
    Preprint, 2024
  3. Preprint
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    OFTSR: One-Step Flow for Image Super-Resolution with Tunable Fidelity-Realism Trade-offs
    Yuanzhi Zhu, Ruiqing Wang, Shilin Lu, Junnan Li, Hanshu Yan, and 1 more author
    Preprint, 2024

2023

  1. ICCV 2023
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    TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition
    Shilin Lu, Yanzhu Liu, and Adams Wai-Kin Kong
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023

2022

  1. MTA
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    Copy-Move Image Forgery Detection Based on Evolving Circular Domains Coverage
    Shilin Lu, Xinghong Hu, Chengyou Wang, Lu Chen, Shulu Han, and 1 more author
    Multimedia Tools and Applications, 2022