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The Cybersecurity Risks Of Generative AI

blog.cs.brown.edu · 838 words · saved by 1 readers

In 2022, generative AI went mainstream. Mere months ago, it still seemed exclusively the province of the ML research community and of Twitter, where meme accounts like @weirddalle shared the results of feeding text-to-image generation models off-the-wall prompts like "a bottle of ranch dressing testifying in court." Cut to the present, where generative AI startups like Stability AI and Jasper are raising $100 million rounds of funding, big players like Microsoft have announced upcoming integrations of text-to-image generation, and perhaps all of us have used OpenAI's DALL-E 2 to create something delightful like this "chicken nugget dressed as a vampire for Halloween". Just the other week, Adobe, where I'm a Product Manager focused on generative AI, joined the party by announcing its first text-to-image generation feature. In parallel, President of Digital Media David Wadhwani ('93) announced that, as Adobe invests more in generative AI, it'll be doing so in an artistic-centric manner.

More news about our Master of Science in Cybersecurity program . Guest post by Bill Marino, MSc Cybersecurity student. In 2022, generative AI went mainstream. Mere months ago, it still seemed exclusively the province of the ML research community and of Twitter, where meme accounts like @weirddalle shared the results of feeding text-to-image generation models off-the-wall prompts like " a bottle of ranch dressing testifying in court ." Cut to the present, where generative AI startups like Stability AI and Jasper are raising $100 million rounds of funding, big players like Microsoft have announc

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