Automated information poisoning proposed as an answer for AI theft risk

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“Information poisoning has by no means actually labored nicely,” stated Bruce Schneier, chief of safety structure at Inrupt Inc., and a fellow and lecturer at Harvard’s Kennedy Faculty. “Honeypots, no higher. This can be a intelligent thought, however I don’t see it as being something however an ancillary safety system.”

Joseph Steinberg, a US-based cybersecurity and AI marketing consultant, disagreed, saying, “normally this might work for all kinds of AI and non-AI methods.”

“This isn’t a brand new idea,” he identified. “Some events have been doing this [injecting bad data for defense] with databases for a few years.” For instance, he famous, a database could be watermarked so whether it is stolen and a few of its contents are later used – a faux bank card quantity, for instance — investigators is aware of the place that piece of knowledge got here from. In contrast to watermarking, nonetheless, which places one unhealthy document right into a database, AURA poisons the complete database, so if it’s stolen, it’s ineffective.

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