Cheng Xiao Deepfake (2024)

1. [PDF] DeepFake Detection for Human Face Images and Videos: A Survey

  • This survey will summarize the DeepFake detection methods in face images and videos on the basis of their results, performance, methodology used and detection ...

2. Proactive Deepfake Detection via Training-Free Landmark Perceptual...

  • This paper proposes a proactive Deepfake detection approach by introducing a novel training-free landmark perceptual watermark, LampMark for short.

  • The Deepfake face manipulation technique has garnered significant public attention due to its impacts on both enhancing human experiences and posing security and privacy threats. Despite numerous...

3. [2405.04880] The Codecfake Dataset and Countermeasures for ... - arXiv

  • 8 mei 2024 · We initially construct the Codecfake dataset, an open-source large-scale dataset, including 2 languages, over 1M audio samples, and various test conditions.

  • With the proliferation of Audio Language Model (ALM) based deepfake audio, there is an urgent need for generalized detection methods. ALM-based deepfake audio currently exhibits widespread, high deception, and type versatility, posing a significant challenge to current audio deepfake detection (ADD) models trained solely on vocoded data. To effectively detect ALM-based deepfake audio, we focus on the mechanism of the ALM-based audio generation method, the conversion from neural codec to waveform. We initially construct the Codecfake dataset, an open-source large-scale dataset, including 2 languages, over 1M audio samples, and various test conditions, focus on ALM-based audio detection. As countermeasure, to achieve universal detection of deepfake audio and tackle domain ascent bias issue of original SAM, we propose the CSAM strategy to learn a domain balanced and generalized minima. In our experiments, we first demonstrate that ADD model training with the Codecfake dataset can effectively detects ALM-based audio. Furthermore, our proposed generalization countermeasure yields the lowest average Equal Error Rate (EER) of 0.616% across all test conditions compared to baseline models. The dataset and associated code are available online.

4. Deepfakes of Chinese influencers are livestreaming 24/7

  • 19 sep 2023 · A swarm of Chinese startups and major tech companies have been offering the service of creating deepfake avatars for e-commerce livestreaming.

  • With just a few minutes of sample video and $1,000, brands never have to stop selling their products.

5. University of Macau

6. Singer Cheng Xiao denies scandal rumors with actor Tony Leung

  • 14 aug 2023 · Actor Tony Leung and former WJSN member Cheng Xiao have been entangled in rumors of an extramarital affair, a claim denied by Cheng's agency as fake news.

  • Actor Tony Leung and former WJSN member Cheng Xiao have been entangled in rumors of an extramarital affair, a claim denied by Cheng's agency as fake news.

7. Detecting Novel Audio Deepfake Algorithm with Real Emphasis and ...

  • 5 jun 2024 · ... Xiaopeng Wang, Haonnan Cheng, Long Ye, Jianhua Tao. View a PDF of the paper titled Generalized Source Tracing: Detecting Novel Audio Deepfake ...

  • With the proliferation of deepfake audio, there is an urgent need to investigate their attribution. Current source tracing methods can effectively distinguish in-distribution (ID) categories. However, the rapid evolution of deepfake algorithms poses a critical challenge in the accurate identification of out-of-distribution (OOD) novel deepfake algorithms. In this paper, we propose Real Emphasis and Fake Dispersion (REFD) strategy for audio deepfake algorithm recognition, demonstrating its effectiveness in discriminating ID samples while identifying OOD samples. For effective OOD detection, we first explore current post-hoc OOD methods and propose NSD, a novel OOD approach in identifying novel deepfake algorithms through the similarity consideration of both feature and logits scores. REFD achieves 86.83% F1-score as a single system in Audio Deepfake Detection Challenge 2023 Track3, showcasing its state-of-the-art performance.

8. Dingcheng Yang - Numbda

  • Our team (Dingcheng Yang, Xiao Yang, Shilong Liu, Zihao Xiao, Yinpeng Dong) won the first place in the GeekPwn DeepFake competition (October 24th, 2020).

  • Dingcheng's home page

9. Dr Xiatian Zhu - University of Surrey

  • Xiao Han, Xiatian Zhu, Lincheng Yu, Li Zhang, Yi-Zhe Song, Tao Xiang (2023)FAME-ViL: Multi-Tasking Vision-Language Model for Heterogeneous Fashion Tasks, In ...

  • Zhiyi Cheng, Xiatian Zhu, Shaogang Gong (2020)Face re-identification challenge: Are face recognition models good enough?, In: Pattern recognition107107422 Elsevier Ltd

10. DeepMark: A Scalable and Robust Framework for DeepFake Video ...

  • 5 feb 2024 · Yaxin Xiao. Yaxin Xiao. Department of Electronic and Information ... Cheng Xu, Qian Chen, Haibo Hu, Jianliang Xu, and Xiaojun Hei. 2017 ...

  • Search ACM Digital Library

11. Deepfakes Generation and Detection: A Short Survey - MDPI

  • 13 jan 2023 · Xiao et al. [98] presented a multi-attribute manipulation GANs-based ... Wang, T.; Cheng, H.; Chow, K.; Nie, L. Deep convolutional ...

  • Advancements in deep learning techniques and the availability of free, large databases have made it possible, even for non-technical people, to either manipulate or generate realistic facial samples for both benign and malicious purposes. DeepFakes refer to face multimedia content, which has been digitally altered or synthetically created using deep neural networks. The paper first outlines the readily available face editing apps and the vulnerability (or performance degradation) of face recognition systems under various face manipulations. Next, this survey presents an overview of the techniques and works that have been carried out in recent years for deepfake and face manipulations. Especially, four kinds of deepfake or face manipulations are reviewed, i.e., identity swap, face reenactment, attribute manipulation, and entire face synthesis. For each category, deepfake or face manipulation generation methods as well as those manipulation detection methods are detailed. Despite significant progress based on traditional and advanced computer vision, artificial intelligence, and physics, there is still a huge arms race surging up between attackers/offenders/adversaries (i.e., DeepFake generation methods) and defenders (i.e., DeepFake detection methods). Thus, open challenges and potential research directions are also discussed. This paper is expected to aid the readers in comprehending deepfake generation and detection mechanisms, together with open issues and future directions...

12. Arrest Calls Attention to Issue of “Deepfake” Videos in Taiwan

  • 19 okt 2021 · The issue of “deepfakes” has been widely discussed in Taiwan after YouTuber “Xiao ... cheng pointing to how existing laws lag behind the ...

  • The issue of “deepfakes” has been widely discussed in Taiwan after YouTuber “Xiao Yu” was found to be responsible for a Telegram group used to sell, commission, and circulate “deepfake” porn videos of…

13. Detecting Deepfake Videos Using Spatiotemporal Trident Network

  • 13 sep 2023 · ... Cheng Laboratory, China. View Profile. , Zhaoquan Gu. Zhaoquan Gu ... Fighting fake news: two stream network for deepfake detection via learnable ...

  • Search ACM Digital Library

14. ECCV Conference Papers - European Computer Vision Association

  • Huabin Liu, Xiao Ma, Cheng Zhong, Yang Zhang, Weiyao Lin*: [pdf]. [supplementary material]. [DOI]. Spectral Subsurface Scattering for Material Classification ...

  • XXX

15. [PDF] Defending against GAN-based DeepFake Attacks via ...

  • Jun-Cheng ChenWen-Hung LiaoChu-Song Chen. Computer Science. MMM. 2024. TLDR ... Xiaogeng Liu +4 authors. Libing Wu. Computer Science. 2022 IEEE/CVF Conference ...

Cheng Xiao Deepfake (2024)
Top Articles
Latest Posts
Recommended Articles
Article information

Author: Nathanial Hackett

Last Updated:

Views: 5329

Rating: 4.1 / 5 (52 voted)

Reviews: 83% of readers found this page helpful

Author information

Name: Nathanial Hackett

Birthday: 1997-10-09

Address: Apt. 935 264 Abshire Canyon, South Nerissachester, NM 01800

Phone: +9752624861224

Job: Forward Technology Assistant

Hobby: Listening to music, Shopping, Vacation, Baton twirling, Flower arranging, Blacksmithing, Do it yourself

Introduction: My name is Nathanial Hackett, I am a lovely, curious, smiling, lively, thoughtful, courageous, lively person who loves writing and wants to share my knowledge and understanding with you.