Written by Phoebe Greggor for BirminghamWorld
Original photo: Courtesy of BirminghamWorld
Birmingham City University (BCU), in partnership with Covatic, has unveiled groundbreaking research to protect AI models from cyber threats.
AI models are now integral to high-stakes industries like healthcare and autonomous vehicles. These systems exhibit high accuracy in analysing images, often surpassing human performance at quicker rates. However, they remain vulnerable to deceptive or adversarial attacks – malicious attempts to deceive AI systems by subtly altering input data.
One such method, known as a ‘black-box attack’, allows cyber attackers to test an AI model repeatedly to gather intelligence and find ways to manipulate its decisions. This could allow an AI-powered self-driving car to misread a stop sign as a speed limit sign; or misdiagnose a patient based on the images it’s provided.
Original photo: Courtesy of BirminghamWorld
Birmingham City University (BCU), in partnership with Covatic, has unveiled groundbreaking research to protect AI models from cyber threats.
AI models are now integral to high-stakes industries like healthcare and autonomous vehicles. These systems exhibit high accuracy in analysing images, often surpassing human performance at quicker rates. However, they remain vulnerable to deceptive or adversarial attacks – malicious attempts to deceive AI systems by subtly altering input data.
One such method, known as a ‘black-box attack’, allows cyber attackers to test an AI model repeatedly to gather intelligence and find ways to manipulate its decisions. This could allow an AI-powered self-driving car to misread a stop sign as a speed limit sign; or misdiagnose a patient based on the images it’s provided.