1. “I know it's a deepfake”: the role of AI disclaimers and comprehension in ...
Missing: Shu Pei- Pei
Abstract. Rapid innovations in media technologies have ushered in diverse entertainment avenues, including politically oriented content, presenting both no
2. Deepfake Generation and Detection: A Benchmark and Survey - arXiv
Missing: Shu | Show results with:Shu
Deepfake is a technology dedicated to creating highly realistic facial images and videos under specific conditions, which has significant application potential in fields such as entertainment, movie production, digital human creation, to name a few. With the advancements in deep learning, techniques primarily represented by Variational Autoencoders and Generative Adversarial Networks have achieved impressive generation results. More recently, the emergence of diffusion models with powerful generation capabilities has sparked a renewed wave of research. In addition to deepfake generation, corresponding detection technologies continuously evolve to regulate the potential misuse of deepfakes, such as for privacy invasion and phishing attacks. This survey comprehensively reviews the latest developments in deepfake generation and detection, summarizing and analyzing current state-of-the-arts in this rapidly evolving field. We first unify task definitions, comprehensively introduce datasets and metrics, and discuss developing technologies. Then, we discuss the development of several related sub-fields and focus on researching four representative deepfake fields: face swapping, face reenactment, talking face generation, and facial attribute editing, as well as forgery detection. Subsequently, we comprehensively benchmark representative methods on popular datasets for each field, fully evaluating the latest and influential published works. Finally, we analyze challenges and future re...
3. How deepfake parodies affect public opinion | Shupei Yuan, PhD posted ...
Missing: Shu Pei- Pei
Recently Hang Lu and I completed a project on how deepfake parodies influence public opinion on climate change? 🌍 This study explores how AI disclaimers…
4. The impacts of deepfakes on higher education and how we can prepare ...
Oct 18, 2024 · For example, deepfakes may be used to create distressing and humiliating content of students or staff; the spread of malicious deepfake ...
See AlsoDer Hund der BaskervillesDeepfakes are coming for education, bringing along both good and bad implications. Researchers look into what it means for higher education, and how educational institutions should prepare.
5. Jiahuan Zhou（周嘉欢） - Google Scholar
Missing: Shu | Show results with:Shu
Peking University - อ้างอิงโดย 1,073 รายการ - Computer Vision - Machine Learning - Deep Learning
6. Deepfake: definitions, performance metrics and standards, datasets ...
Xin WangHui GuoShu HuMing-Ching ChangSiwei Lyu. Computer ... Although Deep fake detection is extremely difficult and still an unsolved problem, a Deepfake ...
This paper gives a comprehensive overview of deepfake, covering multiple important aspects of this emerging concept, including (1) different definitions, (2) commonly used performance metrics and standards, and (3) deepfake-related datasets. Recent advancements in AI, especially deep learning, have contributed to a significant increase in the creation of new realistic-looking synthetic media (video, image, and audio) and manipulation of existing media, which has led to the creation of the new term “deepfake.” Based on both the research literature and resources in English, this paper gives a comprehensive overview of deepfake, covering multiple important aspects of this emerging concept, including (1) different definitions, (2) commonly used performance metrics and standards, and (3) deepfake-related datasets. In addition, the paper also reports a meta-review of 15 selected deepfake-related survey papers published since 2020, focusing not only on the mentioned aspects but also on the analysis of key challenges and recommendations. We believe that this paper is the most comprehensive review of deepfake in terms of the aspects covered.
7. Vivek Krishna, PhD, SMBA on LinkedIn: Inventures 2024
Come listen to Dr Gavrilova talk about AI and deep fakes! ... I can't wait to deep dive into the ... Core NextUp/Ne互tUp team: Shu-Pei Oei (黄淑佩) Ph ...
🚀 Exciting News! Join Me at Inventures 2024! 🌟 Hey everyone! I'm thrilled to share that I'll be attending Inventures 2024, Alberta's Startup and Innovation…
8. [PDF] A New Pest Detection Method Based on Improved YOLOv5m ...
... deep learning for detecting plant pests in recent ... Fake HTTP 503 (rate limit) Fake HTTP 504 (timeout) ... Shu-Pei Chen. Agricultural and Food Sciences ...
