Yes, hackers can hack AI websites. According to cset.georgetown.edu, AI and machine learning (ML) are vulnerable to hacking, and in some ways, AI/ML is even more susceptible to hacking than most software. The reason for this is that AI/ML has to be trained before deployment using vast datasets, and the training pipeline that makes AI/ML vulnerable even to attackers who don’t have any access to the network it’s running on. The source also highlights that there are growing concerns about the risks of AI being hacked, and policymakers need to ensure that they are properly weighing the risks.
Hackers can use different techniques to hack AI websites. cset.georgetown.edu mentions that data poisoning attacks work by seeding specially crafted images into AI/ML training sets, which in some cases have been scraped off the public Internet or harvested from social media or other platforms. Poisoned images can be crafted in many different ways, such as the fast gradient sign method (FGSM), which identifies key data points in training images. Using FGSM, an attacker can make pixel-level changes called “perturbations” into an image, turning the image into an “adversarial example,” providing data inputs that make the AI/ML misidentify it by fooling the model it’s using.
Moreover, hackers can use AI to launch attacks. csoonline.com highlights that attackers can use AI-powered security tools to tweak their malware until it can evade detection. AI is also part of a lot of different technologies, and attackers can use it to improve their writing or trick a machine learning model by feeding it new information. For instance, an attacker can manipulate the training dataset, intentionally bias it, and the machine learns the wrong way.
Furthermore, AI can be used as a hacking tool. washingtonexaminer.com reports that OpenAI’s ChatGPT conversational artificial intelligence tool can be used to write simple hacking tools. Cybersecurity researchers have demonstrated that ChatGPT can be used to write malware, pointing to a future in which criminal organizations use AI in an arms race with the good guys.
In conclusion, AI websites are vulnerable to hacking, and hackers can use different techniques to hack AI websites. Moreover, attackers can use AI to launch attacks, and AI can be used as a hacking tool. Therefore, policymakers and developers need to ensure that AI systems are secure and that they are properly weighing the risks associated with AI.
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