Algorithms for artificial intelligence are rapidly entering our daily lives. Machine learning is already or soon will be the foundation of many systems that demand high levels of security. To name a few of these technologies, there are robotics, autonomous vehicles, banking, facial recognition, and military targeting software.
This poses a crucial question: How resistant to hostile attacks are these machine learning algorithms?
Security experts believe that incorporating quantum computing into machine learning models may produce fresh algorithms that are highly resistant to hostile attacks.
Data manipulation attacks’ risks
For certain tasks, machine learning algorithms may be extremely precise and effective. They are very helpful for categorising and locating visual features. But they are also quite susceptible to data manipulation assaults, which can be very dangerous for security.&nb
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