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Published in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022
Paper Supplementary GitHub Dataset
Recommended citation: Asnani, V., Yin, X., Hassner, T., & Liu, X. (2023). Reverse engineering of generative models: Inferring model hyperparameters from generated images. Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 12, pp. 15477-15493.
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Paper Supplementary GitHub Project Webpage
Recommended citation: Asnani, V., Yin, X., Hassner, T., Liu, S., & Liu, X. (2022). Proactive Image Manipulation Detection. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Recommended citation: Asnani, V., Yin, X., Hassner, T., & Liu, X. (2023). MaLP: Manipulation Localization Using a Proactive Scheme. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Published in Thirty-seventh Conference on Neural Information Processing Systems 2023, 2023
Recommended citation: Asnani V., Kumar A., You S., Liu X., (2023). PrObeD: Proactive Object Detection Wrapper. In Thirty-seventh Conference on Neural Information Processing Systems.
Published in Foundations and Trends in Privacy and Security, 2023
Recommended citation: Yao, Y., Guo, X., Asnani, V., Gong, Y., Liu, J., Lin, X., ... & Liu, S. (2024). Reverse Engineering of Deceptions on Machine-and Human-Centric Attacks. Foundations and Trends® in Privacy and Security, 6(2), 53-152.
Published in IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Recommended citation: Asnani, V., Collomosse, J., Bui, T., Liu, X., Agarwal, S. (2024). ProMark: Proactive Diffusion Watermarking for Causal Attribution. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
Published:
This talk focuses on our CVPR 2022 work “Proactive Image Manipulation Localization”. Link to the Talk Paper
Published:
This talk focuses on our work “Reverse engineering of generative models”. Link to the Talk Paper
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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