3 citations · 11 across the 17 of their papers we have counts for
4 papers · 1 filter
Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing
A K Nirala, A Joshi, C Hegde +1
A key benefit of deep vision-language models such as CLIP is that they enable zero-shot open vocabulary classification; the user has the ability to define novel class labels via na…
PriViT: Vision Transformers for Fast Private Inference
Naren Dhyani, Jianqiao Mo, Minsu Cho +4
The Vision Transformer (ViT) architecture has emerged as the backbone of choice for state-of-the-art deep models for computer vision applications. However, ViTs are ill-suited for…
On the Fine-Grained Hardness of Inverting Generative Models
Feyza Duman Keles, Chinmay Hegde
The objective of generative model inversion is to identify a size- latent vector that produces a generative model output that closely matches a given target. This operation is a…
Towards Foundational AI Models for Additive Manufacturing: Language Models for G-Code Debugging, Manipulation, and Comprehension
Anushrut Jignasu, Kelly Marshall, Baskar Ganapathysubramanian +3
3D printing or additive manufacturing is a revolutionary technology that enables the creation of physical objects from digital models. However, the quality and accuracy of 3D print…