AI RESEARCH
Hypnopaedia-Aware Machine Unlearning via Psychometrics of Artificial Mental Imagery
arXiv CS.AI
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ArXi:2410.05284v2 Announce Type: replace-cross Neural backdoors represent insidious cybersecurity loopholes that render learning machinery vulnerable to unauthorised manipulations, potentially enabling the weaponisation of artificial intelligence with catastrophic consequences. A backdoor attack involves the clandestine infiltration of a trigger during the learning process, metaphorically analogous to hypnopaedia, where ideas are implanted into a subject's subconscious mind under the state of hypnosis or unconsciousness.