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City University of Hong Kong
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Backdoor attacks on self-supervised models can be effectively countered without any reliance on labels or training data, achieving substantial performance gains across multiple attack types.
MLLMs can achieve 4x faster inference without sacrificing accuracy by intelligently focusing on only the image regions relevant to the query.
