107 citations · 165 across the 8 of their papers we have counts for
8 papers
Protecting the Neural Networks against FGSM Attack Using Machine Unlearning
Amir Hossein Khorasani, Ali Jahanian, Maryam Rastgarpour
Machine learning is a powerful tool for building predictive models. However, it is vulnerable to adversarial attacks. Fast Gradient Sign Method (FGSM) attacks are a common type of…
Local Relighting of Real Scenes
Audrey Cui, Ali Jahanian, Agata Lapedriza +4
We introduce the task of local relighting, which changes a photograph of a scene by switching on and off the light sources that are visible within the image. This new task differs…
Exploring Visual Prompts for Adapting Large-Scale Models
Hyojin Bahng, Ali Jahanian, Swami Sankaranarayanan +1
We investigate the efficacy of visual prompting to adapt large-scale models in vision. Following the recent approach from prompt tuning and adversarial reprogramming, we learn a si…
Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian, Xavier Puig, Yonglong Tian +1
Generative models are now capable of producing highly realistic images that look nearly indistinguishable from the data on which they are trained. This raises the question: if we h…
Paint by Word
Alex Andonian, Sabrina Osmany, Audrey Cui +4
We investigate the problem of zero-shot semantic image painting. Instead of painting modifications into an image using only concrete colors or a finite set of semantic concepts, we…
Instance Semantic Segmentation Benefits from Generative Adversarial Networks
Quang H. Le, Kamal Youcef-Toumi, Dzmitry Tsetserukou +1
In design of instance segmentation networks that reconstruct masks, segmentation is often taken as its literal definition -- assigning each pixel a label. This has led to thinking…
On the "steerability" of generative adversarial networks
Ali Jahanian, Lucy Chai, Phillip Isola
An open secret in contemporary machine learning is that many models work beautifully on standard benchmarks but fail to generalize outside the lab. This has been attributed to bias…
Colors Messengers of Concepts: Visual Design Mining for Learning Color Semantics
Ali Jahanian, S. V. N. Vishwanathan, Jan P. Allebach
This paper studies the concept of color semantics by modeling a dataset of magazine cover designs, evaluating the model via crowdsourcing, and demonstrating several prototypes that…