Search Results for author: Shenghai Luo

Found 2 papers, 1 papers with code

Evading Detection Actively: Toward Anti-Forensics against Forgery Localization

no code implementations • 16 Oct 2023 • Long Zhuo, Shenghai Luo, Shunquan Tan, Han Chen, Bin Li, Jiwu Huang

In adversarial training, SEAR employs a forgery localization model as a supervisor to explore tampering features and constructs a deep-learning concealer to erase corresponding traces.

Adversarial Attack Self-Supervised Learning

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DFGC 2021: A DeepFake Game Competition

1 code implementation • 2 Jun 2021 • Bo Peng, Hongxing Fan, Wei Wang, Jing Dong, Yuezun Li, Siwei Lyu, Qi Li, Zhenan Sun, Han Chen, Baoying Chen, Yanjie Hu, Shenghai Luo, Junrui Huang, Yutong Yao, Boyuan Liu, Hefei Ling, Guosheng Zhang, Zhiliang Xu, Changtao Miao, Changlei Lu, Shan He, Xiaoyan Wu, Wanyi Zhuang

This competition provides a common platform for benchmarking the adversarial game between current state-of-the-art DeepFake creation and detection methods.

Benchmarking DeepFake Detection +1

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