3 papers
cs.LG2026
ProHiFlo: Hierarchical Flow Matching with Functional Guidance for De Novo Protein Generation
Chuanzhen Wang, Meade Cleti, Pete Jano
De novo protein generation has transformative potential in therapeutic design, enzyme engineering, and synthetic biology. While diffusion-based and flow matching approaches have ac…
cs.CR2024
Seeing is Deceiving: Exploitation of Visual Pathways in Multi-Modal Language Models
Pete Janowczyk, Linda Laurier, Ave Giulietta +2
Multi-Modal Language Models (MLLMs) have transformed artificial intelligence by combining visual and text data, making applications like image captioning, visual question answering…
cs.AI2024
The Cat and Mouse Game: The Ongoing Arms Race Between Diffusion Models and Detection Methods
Linda Laurier, Ave Giulietta, Arlo Octavia +1
The emergence of diffusion models has transformed synthetic media generation, offering unmatched realism and control over content creation. These advancements have driven innovatio…