Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Diffusion models gradually refine and produce a requested output, sometimes starting from random noise—values generated by the model itself—and sometimes working from user-provided data. Think of ...

Following a string of controversies stemming from technical hiccups and licensing changes, AI startup Stability AI has announced its latest family of image-generation models. The new Stable Diffusion ...

Joint research led by Sosuke Ito of the University of Tokyo has shown that nonequilibrium thermodynamics, a branch of physics that deals with constantly changing systems, explains why optimal ...

Membership Inference Authors, Creators & Presenters: Yan Pang (University of Virginia), Tianhao Wang (University of Virginia) PAPER Black-box Membership Inference Attacks against Fine-tuned Diffusion ...

Membership Inference Authors, Creators & Presenters: PAPER Yuefeng Peng (University of Massachusetts Amherst), Ali Naseh (University of Massachusetts Amherst), Amir Houmansadr (University of ...