research
∙
04/28/2023
Can deepfakes be created by novice users?
Recent advancements in machine learning and computer vision have led to ...
share
research
∙
10/08/2021
Adversarial Token Attacks on Vision Transformers
Vision transformers rely on a patch token based self attention mechanism...
research
∙
02/25/2021
Provable Compressed Sensing with Generative Priors via Langevin Dynamics
Deep generative models have emerged as a powerful class of priors for si...
research
∙
08/27/2020
Adversarially Robust Learning via Entropic Regularization
In this paper we propose a new family of algorithms for training adversa...
research
∙
06/20/2019
Algorithmic Guarantees for Inverse Imaging with Untrained Network Priors
Deep neural networks as image priors have been recently introduced for p...
research
∙
06/20/2018
Learning ReLU Networks via Alternating Minimization
We propose and analyze a new family of algorithms for training neural ne...
research
∙
05/18/2017
