近日，一起涉及Deepfake技术的跨国诈骗案件引起广泛关注。一家公司的香港分财务人员因收到假冒CFO的邮件并参加Deepfake视频会议，被骗转账2亿港币。这一事件再次引发公众对人脸伪造技术的关注和担忧。
随着AI技术的不断发展，GAN和Diffusion Model等新技术能够生成高度逼真的虚假图像，虚假宣传、非法取证、网络诈骗等问题愈发严重。尤其是在人脸识别领域，滥用AI技术带来的风险日益上升。
针对这一问题，基于CNN+ViT技术框架的TextIn人脸伪造检测技术应运而生。该技术通过大量不同来源、生成技术的Deepfake样本训练，提供随伪造技术同步成长的防伪手段。该技术可以有效识别出使用Deepfake技术伪造的人脸图像，为打击网络诈骗等犯罪活动提供有力支持。
对此，专家表示，除了技术手段的加强，公众的自我防范意识也至关重要。同时，相关部门应加强对AI技术的监管，防止其被用于非法用途。
面对“刷脸”时代的挑战，我们需要科技与监管并举，共同守护我们的安全。TextIn人脸伪造检测技术的出现，为我们提供了一种有效的防伪手段，相信随着技术的不断进步，我们定能应对Deepfake魔高一尺的挑战。
英语如下：
News Title: “Deepfake Changing Heaven and Earth, TextIn Protects Financial Security: New Face Forgery Detection Technology Breaks the Impasse”
Keywords: 1. Deepfake fraud
News Content:
News Title: The Challenge of Deepfake Technology and Its Countermeasures: New Face Forgery Image Detection Technology Combats Online Scams
Recently, a cross-border fraud case involving Deepfake technology has attracted widespread attention. A financial staff member of a company’s Hong Kong branch received an email from a fake CFO and participated in a Deepfake video conference, resulting in a fraud of HK$200 million. This incident has once again raised public attention and concerns about face forgery technology.
With the continuous development of AI technology, new techniques such as GAN and Diffusion Model can generate highly realistic fake images, leading to issues such as false advertising, illegal evidence gathering, and online fraud. The misuse of AI technology has increasingly brought risks, especially in the field of face recognition.
In response to this issue, the TextIn face forgery detection technology based on the CNN+ViT technology framework has emerged. This technology trains with a large number of Deepfake samples from different sources and generation techniques, providing anti-forgery means that grow synchronously with forgery technology. It can effectively identify face images forged using Deepfake technology and provide strong support for combating online fraud and other criminal activities.
Experts have stated that in addition to strengthening technological means, public awareness of self-protection is also crucial. At the same time, relevant departments should strengthen the supervision of AI technology to prevent it from being used for illegal purposes.
Facing the challenges of the “face scanning” era, we need to combine technology with supervision to jointly safeguard our security. The emergence of TextIn face forgery detection technology provides us with an effective anti-forgery means. I believe that with the continuous progress of technology, we will be able to cope with the challenges of Deepfake magic.
【来源】https://www.jiqizhixin.com/articles/2024-06-19-3
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