Identifying and Mitigating the Security Risks of Generative AI

Identifying and Mitigating the Security Risks of Generative AI

Brad Boyd / Clark Barrett / Elie Bursztein

62,38 €
IVA incluido
Disponible
Editorial:
Now Publishers
Año de edición:
2024
ISBN:
9781638283126
62,38 €
IVA incluido
Disponible

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Every major technical invention resurfaces the dual-use dilemma - the new technology has the potential to be used for good as well as for harm. Generative AI (GenAI) techniques, such as large language models (LLMs) and diffusion models, have shown remarkable capabilities (e.g., in-context learning, code-completion, and text-to-image generation and editing). However, GenAI can be used just as well by attackers to generate new attacks and increase the velocity and efficacy of existing attacks. This monograph reports the findings of a workshop held at Google (co-organized by Stanford University and the University of Wisconsin-Madison) on the dual-use dilemma posed by GenAI. This work is not meant to be comprehensive, but is rather an attempt to synthesize some of the interesting findings from the workshop. Short-term and long-term goals for the community on this topic are discussed. This work should provide both a launching point for a discussion on this important topic, as well as interesting problems that the research community can work to address.

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