As artificial intelligence (AI) technology gets better, so do the things that could go wrong with it. A malware strike is one type of threat that can mess up AI. Malware has been used to hit Bard and Chat GPT over the past few months.
EleutherAI, an open-source study group, made Bard, an AI language model. It was trained with the same architecture as OpenAI’s GPT-2, and now anyone can learn and improve it. Chat GPT, on the other hand, uses the GPT-3.5 design and is a talking AI model that is also open to the public.
More and more malware attacks are happening on AI systems like Bard and Chat GPT, and the effects can be very bad. Malware can be used to steal information, take over computers, or even hurt people directly. In this article, we’ll talk about recent malware attacks on Bard and Chat GPT, how the attackers did it, and what can be done to stop future attacks.
Table of Contents
A Malware Attack on Bard
In December 2021, EleutherAI told everyone that malware was used to attack Bard. Using a flaw in the company’s cloud technology, the attackers were able to get into the system. Once they were inside, they put malware on the system, which gave them access to private data and control over the system.
Also Read: Bing AI Chatbot Vs Open AI ChatGPT! Are Chatbots Better Than ChatGPT?
It is thought that a nation-state attacker did the Bard malware attack, and it is likely that the attack was done to spy. The attack shows that people with government backing are becoming a bigger threat to AI systems.
When EleutherAI heard about the attack, they shut down the system and looked into it thoroughly. They were able to find the gap that the attackers took advantage of and fix it. They made sure the system was safe before putting it back online.
Malware Attack on Chat GPT
Malware was also used to attack Chat GPT in March 2022. Attackers were able to get into the system by taking advantage of a flaw in the organization’s login system. Once they were inside, they put malware on the system, which gave them access to private data and control over the system.
People think that a group of thieves was behind the Chat GPT malware attack, and that the attack was likely done to make money. Hackers are becoming a bigger threat to AI systems, as shown by this attack.
The Chat GPT attack was quickly found out, and the system was shut down while the group looked into it. They were able to find the gap that the attackers took advantage of and fix it. They made sure the system was safe before putting it back online.
Also Read: ChatGPT 4 Vs ChatGPT 3: What is the Difference Between the Two?
How Can We Stop the Future Attacks?
Malware attacks like Bard and Chat GPT show that businesses need to keep their AI systems safe. Businesses should take a number of protection steps to stop future attacks, such as:
Regular Vulnerability Scans
Organizations should do regular security checks on their AI systems to find any flaws that could be used by attackers.
Multiple Authentication Factors
Multi-factor security should be used to make sure that only the right people can get into the system.
Encryption
All the data saved on the system should be secured so that people can’t get to it without permission.
Regular Updates
System changes should be made regularly to make sure that all software is up-to-date and that any holes in the system are filled.
Employee Training
Hacking best practices should be taught to employees so they know what kinds of dangers could happen and how to stop them.
What are LLLMs?
An LLM is when an algorithm has been taught on a lot of text-based data, usually scraped from the open internet. This includes websites and, based on the LLM, other sources like scientific studies, books, or social media posts. This includes so much data that it’s not possible to filter out all harmful or wrong information when it comes in, so it’s likely that “controversial” information will be part of its model.
The computers look at how different words are linked to each other and use that knowledge to make a probability model. Then, you can “prompt” the algorithm by, say, asking it a question, and it will give you an answer based on how the words in its model are linked.
Most of the time, the data in its model is set after it has been trained. But “fine-tuning” (training on more data) and “prompt augmentation” (giving more details about the question) can make it better. People can ask an LLM questions through ChatGPT, just like they would with a robot. Other recently released LLMs are Google’s Bard and Meta’s LLaMa (for scientific works).
LLMs are amazing because they can make a huge range of convincing content in many different human and computer languages. But they are not magic and they are not general artificial intelligence. They also have some big issues, like:
- They can make mistakes and ‘hallucinate’ wrong information.
- They can be skewed and often believe what they hear, like when they answer leading questions.
- They need a lot of computer power and a lot of data to start training from scratch.
- They are vulnerable to “injection attacks” and can be fooled into making things that are bad for them.
Why Was There an Attack on ChatGPT and Bard?
The first step is to download ChatGPT and Google Bard. The attack is pretty simple, and it’s a bad side effect of how ChatGPT helps OpenAI make money. This rule is also followed by Microsoft and Google. OpenAI doesn’t have ChatGPT apps that only work on certain OS systems.
Also Read: Why Google’s Assistant Team is Refocusing Its Efforts on Bard?
Any computer with a web browser can use the AI that can make new things. But a lot of companies have made real AI apps for different platforms. iOS is a good example of this because it has a lot of great ChatGPT apps that can run on the iPhone. There are also more and more add-ons for browsers that make using ChatGPT easier than going to OpenAI’s website.
So, people already know to look for better ways to get to ChatGPT. Fake apps would get a lot of attention, even though Google Bard isn’t very famous. Evil people just need users who don’t know what they’re doing to install the fake ChatGPT or Google Bard tools or apps on their computers.
Conclusion
More and more malware attacks are happening on AI systems like Bard and Chat GPT, and the effects can be very bad. Organizations must take the security of their AI systems very seriously and put in place a wide range of security measures to stop threats in the future.
