Abstract
Latent Transfer Attack optimizes image perturbations in the latent space of a pretrained generative model. Transformations and latent smoothing help study how these perturbations transfer across architectures and preprocessing pipelines under a pixel-space constraint.
Type
Publication
arXiv preprint
Ravid Shwartz Ziv
AI Researcher
AI researcher at Meta MSL with a background in information theory and computational neuroscience, working on world models, memory, and compression. Former Assistant Professor and Faculty Fellow at NYU. My industry experience spans Wand AI, Intel, Google AI, and Wikipedia.