Birmingham City University Develops New Defense Mechanism Against Cyberattacks On AI Systems

Image Transformation Method Outperforms State-Of-The-Art Random Noise Defense

AI systems used in healthcare are vulnerable to adversarial cyberattacks, which are a growing concern, said Atif Azad, a professor of AI at Birmingham City University. Azad’s research group has developed a method that trains AI to become more resilient to cyber threats through the use of random image adjustments.

cybersecurity

A research group from the UK’s Birmingham City University (BCU) has developed a new method for protecting AI models from cyber threats.

AI systems used in high-stakes industries, such as healthcare are vulnerable to cyberattack. “In healthcare, that can mean misdiagnoses, inequitable patient outcomes, fraudulent claims and an overall loss of trust...

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