生成式人工智能时代的合成图像验证：哪些可行，哪些尚不可行

IF 2.9 4区计算机科学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS

IEEE Security & Privacy Pub Date : 2024-04-05 DOI:10.1109/msec.2024.3376637

Diangarti Tariang, Riccardo Corvi, Davide Cozzolino, Giovanni Poggi, Koki Nagano, Luisa Verdoliva

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Synthetic Image Verification in the Era of Generative Artificial Intelligence: What Works and What Isn’t There yet

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

IEEE Security & Privacy 工程技术-计算机：软件工程

CiteScore

4.30

自引率

5.30%

发文量

159

审稿时长

6-12 weeks

期刊介绍： IEEE Security & Privacy’s primary objective is to stimulate and track advances in security, privacy, and dependability and present these advances in a form that can be useful to a broad cross-section of the professional community—ranging from academic researchers to industry practitioners. It provides articles with both a practical and research bent by the top thinkers in the field of security and privacy, along with case studies, surveys, tutorials, columns, and in-depth interviews and podcasts for the information security industry. Through special issues, the magazine explores other timely aspects of privacy in areas such as usable security, the Internet of Things, cloud computing, cryptography, and big data. Other popular topics include software, hardware, network, and systems security, privacy-enhancing technologies, data analytics for security and privacy, wireless/mobile and embedded security, security foundations, security economics, privacy policies, integrated design methods, sociotechnical aspects, and critical infrastructure. In addition, the magazine accepts peer-reviewed articles of wide interest under a general call, and also features regular columns on hot topics and interviews with luminaries in the field.