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Improving Testing of Deep-learning Systems

Improving Testing of Deep-learning Systems
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ChatGPT wrote code that can make databases leak sensitive information

Six AI tools, including OpenAI’s ChatGPT, were exploited to write code capable of damaging commercial databases – although OpenAI appears to have now fixed the vulnerability

ChatGPT could be responsible for the next CYBER ATTACK: Scientists show how AI systems can be tricked into producing malicious code

Hackers can use ChatGPT to steal your private data

Technique to automatically discover simulation configurations for behaviors hard to test

 E-Mail IMAGE: The research team at National Institute of Informatics developed a technique to search automatically for simulation configurations that test various behaviors of automated driving systems. This research was conducted under. view more  Credit: © National Institute of Informatics The research team led by Fuyuki Ishikawa at the National Institute of Informatics (NII, Japan) developed a technique to search automatically for simulation configurations that test various behaviors of automated driving systems. This research was conducted under the ERATO-MMSD project ( 1) funded by the Japan Science and Technology Agency (JST, Japan). The proposed technique iterates trials on simulations using an optimization method called evolutionary computation so that it discovers simulation configurations that lead to specific features of driving behaviors such as high acceleration, deceleration, and steering operation. The outcome of this research was presented in ICST 2021

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