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cs.LG2023
ALMANACS: A Simulatability Benchmark for Language Model Explainability
Edmund Mills, Shiye Su, Stuart Russell +1
How do we measure the efficacy of language model explainability methods? While many explainability methods have been developed, they are typically evaluated on bespoke tasks, preve…
cs.LG2023★ 4 cited
Image Hijacks: Adversarial Images can Control Generative Models at Runtime
Luke Bailey, Euan Ong, Stuart Russell +1
Are foundation models secure against malicious actors? In this work, we focus on the image input to a vision-language model (VLM). We discover image hijacks, adversarial images tha…