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Security researchers could access and modify an artificial intelligence code generation model developed by Facebook after scanning for API access tokens on AI

You don't let kids just play with knives without teaching them how to use them...AI needs a similar approach.

A researcher at the conference in Shanghai claims that attackers can seriously damage artificial intelligence models by "poisoning" data sets through minor modification.

The development of connected and autonomous vehicles (CAV s) relies heavily on deep learning technology, which has been widely applied to perform a variety of tasks in CAYs. On the other hand, deep learning faces some security concerns. Data poisoning attack, as one of the security threats, can compromise the deep learning models by injecting poisoned training samples. The poisoned models may make more false predictions, and may cause fatal accidents of CA V s in the worst case. Therefore, the principles of poisoning attacks are worth studying in order to propose counter measures. In this work...

The U.S. weapons arsenal developed without a zero trust architecture is at growing risk from cyberattacks, lawmakers heard today in a panel dedicated to how