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The UN AI for Good Summit was held in Geneva, where Peng Jin from Ant Group shared China's achievements in AI security technology. Data shows that Ant Digital helped Southeast Asian banks reduce fake face attack rates from 10% to 4%, with an identification accuracy rate of 99.9%. Ant provides financial-grade identity authentication through the ZOLOZ platform, serving 25 countries, and has opened a dataset of 1.8 million fake samples to promote industry research. China's technological solutions are offering important references for global AI safety governance.

With advancements in AI technology, AI-powered face-swapping techniques are increasingly used across various sectors, leading to a rise in malicious applications for scams. To address this growing challenge, Lenovo has introduced a new technology: a Deepfake detection tool. Unveiled in Lenovo's recent promotional video, "Protecting AI with AI," this detector boasts over 96% accuracy. Powered by DeepSe

Spain is considering legislation aimed at combating the proliferation of AI-generated pornography and safeguarding the privacy of minors.

Imagine being able to see a person speaking, moving, and even performing, all from just a single photo within seconds. This is the allure of OmniHuman-1, recently launched by ByteDance. This artificial intelligence model, which has gone viral online, can create highly realistic videos that bring static images to life. Combined with audio clips, it achieves lip synchronization, full-body movements, and rich facial expressions. Unlike traditional deepfake technologies, OmniHuman-1 is not limited to facial replacement; it can animate the entire person.

The AI image detection system developed by Tencent's Hongyuan Security Team's Zhuque Laboratory can determine if an image is AI-generated within a few seconds by uploading the image and waiting for verification. The system primarily distinguishes between real images and AI-generated images by capturing differences, such as AI-generated images sometimes defying common sense logic, showing unrealistic content like dogs flying with wings or cats smoking cigars.

With the rapid development of artificial intelligence technology, deepfake content has gradually attracted widespread social attention. To address this emerging issue, California has introduced a series of new laws and regulations at the beginning of the new year, aimed at strengthening the regulation of deepfake content generated by artificial intelligence. These laws will affect social media platforms, content creators, and related industries, marking the entry of AI technology application regulation into a new phase. Note on image source: Image generated by AI, image licensed by Midjourney. One of the important laws expands the scope.

Recently, at the 12th Digital Finance and Technology Finance Conference, part of the Zhongguancun Forum series of events, Ant Group's Deepfake detection solution was selected as a “Financial Technology Innovation and Application Case.” Leveraging its Tiantong Laboratory, Ant Group has constructed the first large-scale, high-quality, multi-modal Deepfake dataset in the industry, synthesizing over a million multimedia contents that fully simulate Deepfake attack samples in real-world financial risk control environments, becoming a benchmark for evaluating existing Deepfake detection in the financial sector.

Meta has recently launched a new neural watermark system called VideoSeal, designed to help identify AI-generated videos, even if the videos have been edited, it can effectively trace their origin. This watermark is invisible to viewers but can be verified through detection methods to confirm the video's authenticity. Meta has released the entire system as open source software under the MIT license, including the VideoSeal watermark model, research papers, and training and inference code.

Recently, a video has sparked widespread attention online, featuring an account impersonating Zhang Wenhong in a live stream selling a type of protein bar. Many netizens began to question, 'Is Zhang Wenhong really selling products?' Even more concerning is that some elderly viewers believed the video to be genuine, with some placing orders and sharing the information in social groups. After investigation, it was confirmed that the Zhang Wenhong in the video was not a real person, but a deepfake generated through AI technology. Zhang Wenhong has responded, indicating that there is more than one such fraudulent account.

Today, Deepfake is ubiquitous. With the rise of generative AI, the amount of false content online has exploded. According to identity verification platform Sumsub, the number of Deepfakes globally has increased fourfold from 2023 to 2024. By 2024, Deepfake will account for 7% of all fraud incidents, involving everything from identity impersonation and account theft to complex social engineering attacks. To effectively combat Deepfake, Meta...

With the proliferation of deepfake technology, the amount of false content online has surged. According to data from the ID verification platform Sumsub, the number of deepfakes quadrupled from 2023 to 2024, accounting for 7% of all fraud in 2024. This includes various forms such as identity impersonation, account takeover, and complex social engineering attacks. To tackle this challenge, Meta has recently launched a new watermark tool - Meta Video Seal, aimed at helping with AI-generated content.

Recently, a federal lawsuit regarding a Minnesota law on 'using deepfake technology to influence elections' has sparked new controversy. The plaintiff's legal team pointed out in the latest legal documents that the affidavits supporting this law may contain text generated by artificial intelligence. Image source note: The image was generated by AI, provided by Midjourney according to reports from the Minnesota Reformer, where the state's Attorney General Keith Ellison had requested the Stanford Social Media Lab's assistance.

After the 2024 U.S. presidential election, the rapid spread of misinformation online severely impacts Americans' perceptions of candidates, as well as public health, climate change, and immigration topics. The development of generative AI, along with its ability to create deepfake content and its tendency to 'hallucinate' facts, may further exacerbate this issue. Image credit: Image generated by AI, licensed from Midjourney. To address this challenge, Norwegian startup Factiverse was born.

A recent study proposed a new method that leverages human attention to enhance the quality of AI-generated images. This method uses a saliency detector to identify the most important areas in the image and prioritizes the generation of these areas. Traditional image generation methods optimize the entire image uniformly, whereas the new method identifies and prioritizes more 'important' regions, similar to human attention. This approach can improve image quality and fidelity to textual prompts. Researchers utilized stable diffusion models and saliency detectors to generate images, and

Singapore has recently announced a series of important measures in cybersecurity, particularly regarding safety guidelines for Artificial Intelligence (AI) systems and legislation banning the use of deepfake technology in election advertising. These initiatives aim to help organizations mitigate potential risks during the development and deployment of AI, ensuring the security of the technology. Image Credit: The image is generated by AI and licensed through Midjourney. The 'AI System Security Guidelines' launched by the Cyber Security Agency of Singapore (CSA) emphasize the concept of 'security by design.'