Projects

  1. summary image

    Proactive Image Manipulation Detection

    Vishal Asnani, Xi Yin, Tal Hassner, Sijia Liu, Xiaoming Liu

    Image manipulation detection algorithms are often trained to discriminate between images manipulated with particular Generative Models (GMs) and genuine/real images, yet generalize poorly to images manipulated with GMs unseen in the training. Conventional detection algorithms receive an input image passively. By contrast, we propose a proactive scheme to image ...

    Continue reading

    Keywords: Deepfake, Image Forgery

Publications

2022

  • Proactive Image Manipulation Detection
    Vishal Asnani, Xi Yin, Tal Hassner, Sijia Liu, Xiaoming Liu
    In Proceeding of IEEE Computer Vision and Pattern Recognition (CVPR 2022), New Orleans, LA, Jun. 2022
    Bibtex | PDF | arXiv | Supplemental | Project Webpage | Code
  • @inproceedings{ proactive-image-manipulation-detection,
      author = { Vishal Asnani and Xi Yin and Tal Hassner and Sijia Liu and Xiaoming Liu },
      title = { Proactive Image Manipulation Detection },
      booktitle = { In Proceeding of IEEE Computer Vision and Pattern Recognition },
      address = { New Orleans, LA },
      month = { June },
      year = { 2022 },
    }

2021

  • Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images
    Vishal Asnani, Xi Yin, Tal Hassner, Xiaoming Liu
    IEEE Transactions on Pattern Analysis and Machine Intelligence, , Apr. 2021 (Under Review)
    Bibtex | PDF | arXiv | Code | Dataset
  • @article{ reverse-engineering-of-generative-models-inferring-model-hyperparameters-from-generated-images,
      author = { Vishal Asnani and Xi Yin and Tal Hassner and Xiaoming Liu },
      title = { Reverse Engineering of Generative Models: Inferring Model Hyperparameters from Generated Images },
      journal = { IEEE Transactions on Pattern Analysis and Machine Intelligence },
      month = { April },
      year = { 2021 },
    }