Google, Facebook, and YouTube all store data about you, even when you leave the platform. Some of this data can be used for racial and gender slurs by AI algorithms. To combat this, you can use tools like AdNauseam, which makes it a habit to click on every single advertisement in an attempt to fool the algorithm. These tools can be installed on your computer and prevent Big Tech from storing your data.
Some of these platforms are so sophisticated that they have recommendation engines. To trick these systems, you need to poison the data that the system uses to make recommendations. An example of this is an e-commerce site that tracks fraudulent orders. The model should be able to predict whether an order will be paid for, based on historical orders. A bot-based account can pose as an actual site user and place dozens of orders. Some of these orders will be paid for, while others will be returned unpaid. This will decrease the predictive accuracy of the model the next time it is trained.
The first step in poisoning the data of a site is to use a tool to trick the system. A robot that feeds in a few results can make it harder for users to reverse the action. In addition to being a malicious bot, the attacker can also manipulate data. Using such a tool can give you leverage over the company. Considering the benefits of this tool, it is a powerful strategy for sabotaging a website.
Using a bot-based account to attack the website can also lead to the poisoning of the data. If a model is too sensitive, it may lead to the creation of fake accounts. Moreover, it can be used to track an attacker into purchasing a product. The aim is to manipulate the system and to gain information. In some cases, it may even be used to influence a person’s behavior.
A malicious hacker can also make use of AI to choose a likely vulnerability or attack vector. By using malware, AI can select the best attack vector. The purpose of a data poisoning attack is to destroy the machine that stores the data. In the case of a maliciously designed bot, this type of AI is likely to target the most vulnerable systems. Once it has access to a system, it can be used to rewrite code.