no code implementations • 23 Apr 2024 • Yunming Zhang, Dengpan Ye, Sipeng Shen, Caiyun Xie, Ziyi Liu, Jiacheng Deng, Long Tang
This strategy enhances the representation of universal carrier features, mitigating multi-objective optimization conflicts in watermarking.
1 code implementation • 22 Mar 2024 • Rui Wang, Dengpan Ye, Long Tang, Yunming Zhang, Jiacheng Deng
With the continuous improvements of deepfake methods, forgery messages have transitioned from single-modality to multi-modal fusion, posing new challenges for existing forgery detection algorithms.
no code implementations • 25 Oct 2023 • Yunming Zhang, Dengpan Ye, Caiyun Xie, Long Tang, Chuanxi Chen, Ziyi Liu, Jiacheng Deng
Dual Defense invisibly embeds a single robust watermark within the target face to actively respond to sudden cases of malicious face swapping.
no code implementations • 1 Mar 2023 • Long Tang, Dengpan Ye, Zhenhao Lu, Yunming Zhang, Shengshan Hu, Yue Xu, Chuanxi Chen
Adversarial example is a rising way of protecting facial privacy security from deepfake modification.
4 code implementations • 2 May 2018 • Yunming Zhang, Mengjiao Yang, Riyadh Baghdadi, Shoaib Kamil, Julian Shun, Saman Amarasinghe
This paper introduces GraphIt, a new DSL for graph computations that generates fast implementations for algorithms with different performance characteristics running on graphs with different sizes and structures.
Programming Languages
3 code implementations • 27 Apr 2018 • Riyadh Baghdadi, Jessica Ray, Malek Ben Romdhane, Emanuele Del Sozzo, Abdurrahman Akkas, Yunming Zhang, Patricia Suriana, Shoaib Kamil, Saman Amarasinghe
This paper introduces Tiramisu, a polyhedral framework designed to generate high performance code for multiple platforms including multicores, GPUs, and distributed machines.