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 attacker could also use a bot that feeds in a handful of results at a time. This strategy is more difficult to detect and undo, but it can still be effective. Using such a tool is a crucial component of ensuring that data is not poisoned. For instance, a bot that feeds in results from a single site could increase the odds of a malicious user attempting to hack the site.
Using a robot can be very useful regarding sabotaging a website. If it can detect fraudulent orders, it is a good sign. If an attacker can pose as a site user, he or she can place orders that will eventually be paid for, degrading the predictive accuracy of the model. The attacker can then feed in new training data points, thereby increasing the number of false positives that the system receives.
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 actor may try to manipulate data by placing a false order. For example, a malicious person could pose as a legitimate user on the site and place an order. The attacker would then pay for some of the orders while not paying for others. The model will be ruined, but the attack will not end. If you have a strong enough network, you can also target websites to spy on people and gain their personal information.
For example, a Facebook chatbot may attempt to detect if an order is fraudulent. A model should be able to determine whether the user will pay for the order. This requires the attacker to feed in data about his or her orders. This attacker can then spoof an actual user and pay for the orders they place. This way, he or she can degrade the predictive accuracy of the model. In this way, he or she can leverage the data to make a change in the company’s policy.
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.