According to the tag deepfake, the following results have been found:
Large language models are used everywhere: they generate the appearance of cars, houses, and ships, summarize round tables and conferences, come up with theses for articles, mailings, and presentations. But with all the "perks" of implementing AI, one should not forget about security. Large language models are attacked in various sophisticated ways. In the top news about neural networks are multimillion-dollar investments in protection against prompt injections. Therefore, let's talk about what threats exist and why investors pay big money to create such businesses. And in the second part of the article, I will tell you how to protect against them.
Remember how we were taught not to talk to strangers as children? In 2024, this wisdom has taken on a new meaning: now you can't even be sure that you are talking to a familiar person, and not their neural network double.
The "deepfake" technology carries deep ethical implications, raising concerns about misinformation and manipulation. By seamlessly blending fabricated content with reality, deepfakes undermine trust in the media and public discourse. And as people's images are exploited without their consent, it also jeopardizes personal safety.