Artificial Intelligence (AI) has become an integral part of many industries, ranging from healthcare and finance to transportation and security.
As AI systems continue to evolve and become more sophisticated, they are also becoming more vulnerable to cyberattacks.
In recent years, there have been numerous instances of AI systems being hacked, resulting in significant damage to individuals and organisations.
In this context, we present the top 10 examples of AI being hacked, which demonstrate the potential risks associated with AI security and the need for robust security measures to protect against these threats.
Table of Contents
1.DeepLocker:
A malware developed by IBM that uses AI to evade detection by security software.
2.Self-driving cars:
Researchers were able to trick self-driving cars into misidentifying street signs by using stickers and other objects to modify the signs.
3.Image recognition:
Researchers were able to fool image recognition systems by adding noise to images or modifying them in subtle ways.
4.Voice assistants:
Researchers were able to hijack voice assistants by using ultrasonic waves that were inaudible to humans but could be picked up by the assistant’s microphone.
5.Spam filters:
Attackers have used AI to bypass spam filters by generating emails that appear to be legitimate but actually contain malicious links or attachments.
6.Banking systems:
Fraudsters have used AI to impersonate legitimate customers and bypass authentication measures to gain access to bank accounts.
7.Chatbots:
Hackers have used chatbots to conduct phishing attacks by impersonating company representatives and tricking users into divulging personal information.
8.Password cracking:
Attackers have used AI to crack passwords by using brute force methods that are more efficient than traditional methods.
9.Facial recognition:
Researchers have shown that facial recognition systems can be tricked by using makeup or other techniques to alter a person’s appearance.
10.Cybersecurity systems:
Hackers have used AI to evade cybersecurity measures by learning and adapting to the defenses put in place.