Artificial intelligence (AI) and machine learning (ML) systems are increasingly used in every aspect of life, from providing the ‘smart’ in your smartphone, to marketing and research, through to critical areas like healthcare, finance and national security.
As its use continues to grow, as users we need to know ML is being deployed securely, without putting our personal safety or data at risk. It turns out this is really hard. It was these challenges, many of which don’t have simple solutions, that motivated us to develop actionable guidance in the form of our principles. We not only look at ‘academic’ techniques and defences, but pragmatic and actionable ways of protecting ML systems against exploitation in a real-life context.
Original Source: ncsc[.]gov[.]uk
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