Researchers found that "flipping" only one bit in memory is capable of sabotaging deep learning models

OneFlip: An Emerging Threat to AI that Could Make Vehicles Crash and Facial Recognition Fail

Single-bit flip attack threatens AI system security Researchers at George Mason University demonstrated how attackers can alter AI behavior by flipping just one bit in neural network weights, potentially causing autonomous vehicles to misread stop signs or facial recognition systems to misidentify users. The “OneFlip” attack utilizes Rowhammer techniques to target specific memory locations and […] The post OneFlip: An Emerging Threat to AI that …

AI Can Be Hacked With a Simple 'Typo' in Its Memory, New Study Claims - WorldNL Magazine

In brief Researchers at George Mason University demonstrated Oneflip, a Rowhammer-style attack that sabotages AI by flipping a single bit in memory. The altered model works normally but hides a backdoor trigger, letting attackers force wrong outputs on command without hurting overall accuracy. The study shows how AI systems face hardware-level security risks, raising concerns for models deployed in cars, hospitals, and finance. What if all it to…

Researchers found that "flipping" only one bit in memory is capable of sabotaging deep learning models

Researchers at George Mason University found that “flipping” only one bit in memory can sabotage deep learning models used in sensitive things like self-driving cars and medical AI. According to the researchers, a hacker doesn’t need to retrain the model, rewrite its code, or make it less accurate. They just need to plant a microscopic backdoor that nobody notices. Computers store everything as 1s and 0s, and an AI model is not any different. At…

'Oneflip' Attack Alters AI Behavior Without a Trace

Researchers from George Mason University have demonstrated a way to manipulate artificial intelligence (AI) models by altering a single binary digit in their memory.

AI Can Be Hacked With a Simple 'Typo' in Its Memory, New Study Claims

Researchers showed that AI deep learning models, used in everything from self-driving cars to finance to healthcare, can be sabotaged. Here's how.