大模型安全:Prompt Injection与Web LLM attacks 大语言模型(英文:Large Language Model,缩写LLM)中用户的输入称为:Prompt(提示词),一个好的 Prompt 对于大模型的输出至关重要,因此有了 Prompt Engneering(提示工程)的概念,教大家如何写好提示词 提示词注入(Prompt Injection)是几乎随着
Fig. 1: Prompt injection attacks on medical images. Here, we show that prompt injection attacks have the potential to alter model outputs from accurate diagnosis to a potentially harmful misdiagnosis in oncology. Results Vision-language models are modality-agnostic detectors of malignant lesions ...
Examples of Prompt Injection Attacks As more and more users have begun experimenting withgenerative AIsince the widely publicized launch of ChatGPT in November 2022, users, researchers, and hackers have discovered a number of prompt injection attacks that can be used to exploit generative AI. These...
Researchers designed a worm that spreads through prompt injection attacks on AI-powered virtual assistants. It works like this: Hackers send a malicious prompt to the victim's email. When the victim asks the AI assistant to read and summarize the email, the prompt tricks the assistant into send...
Types of Prompt Injection Attacks Why Prompt Injection Is a Serious Threat Mitigating Prompt Injection Attacks Conclusion Large language models (LLMs) like GPT-4o or Llama 3.1 405B are incredibly powerful and versatile, capable of solving a wide range of tasks through natural language interaction....
However, here, we demonstrate that current VLMs applied to medical tasks exhibit a fundamental security flaw: they can be compromised by prompt injection attacks. These can be used to output harmful information just by interacting with the VLM, without any access to its parameters. We perform a...
Exploitation of downstream systems: Many applications and systems rely on the output of language models as an input. If the language model’s responses are manipulated through prompt injection attacks, the downstream systems can be compromised, leading to further security risks. ...
Prompt injection attacks are a hot topic in the new world oflarge language model (LLM)application security. These attacks are unique due to how malicious text is stored in the system. An LLM is provided with prompt text, and it responds based on all the data it has been trained on ...
Tool Integration: Integration with tools like Prompt Shields is supported to strengthen defenses against prompt injection attacks.As part of this strategy, all inserted content is HTML-encoded by default, reinforcing the commitment to a Zero Trust security model. Developers can apply the following cont...
Exploiting Prompt Injection In Chapter 4, “The Cornerstones of AI and ML Security,” you learned about the OWASP top ten for LLMs and prompt injection attacks. Let’s go over a few examples of how attackers could exploit prompt injection flaws. In our first example, an attacker can instruc...