Diffusion models can be contaminated with backdoors, study finds

Join top executives in San Francisco on July 11-12, to hear how leaders are integrating and optimizing AI investments for success. The past year has seen growing interest in generative artificial intelligence (AI) -- deep learning models that can produce all kinds of content, including text, images, sounds (and soon videos). But like every other technological trend, generative AI can present new security threats. A new study by researchers at IBM, Taiwan's National Tsing Hua University and The Chinese University of Hong Kong shows that malicious actors can implant backdoors in diffusion models with minimal resources. Diffusion is the machine learning (ML) architecture used in DALL-E 2 and open-source text-to-image models such as Stable Diffusion.