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Identifying and Mitigating the Security Risks of Generative AI
Clark Barrett
Brad Boyd
Elie Bursztein
Nicholas Carlini
Brad Chen
Jihye Choi
Mihai Christodorescu
Anupam Datta
Soheil Feizi
Kathleen Fisher
Tatsunori Hashimoto
Dan Hendrycks
Somesh Jha
Daniel Kang
Florian Kerschbaum
Eric Mitchell
Amrita Roy Chowdhury
John Mitchell
Zulfikar Ramzan
Khawaja Shams
Dawn Song
Ankur Taly
Diyi Yang
出版
Now Publishers
, 2024-01-17
主題
Computers / Artificial Intelligence / General
Computers / Security / General
Science / General
ISBN
1638283125
9781638283126
URL
http://books.google.com.hk/books?id=otpx0AEACAAJ&hl=&source=gbs_api
註釋
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.