8 citations · 11 across the 5 of their papers we have counts for
5 papers
EmbeddGAN: A Novel GAN Framework Using an Embedding Network and Gini Distance Correlation
MaTais Caldwell, Yixin Chen, Xin Dang +1
Generative Adversarial Networks (GANs) have demonstrated strong performance in generating high-quality synthetic data. However, they are limited by no formal guarantees regarding c…
Restrict, Don't Retrain: Inference-Time VLM Guidance for Zero-Shot Aerial Segmentation
Teresa DiMeola, Charles Walter, Hong Xiao
Global welfare often depends on the correct interpretation of aerial and satellite imagery. Acting on such imagery (mapping flooded ground, crop extent, or damaged infrastructure)…
Privacy Threats in Stable Diffusion Models
Thomas Cilloni, Charles Fleming, Charles Walter
This paper introduces a novel approach to membership inference attacks (MIA) targeting stable diffusion computer vision models, specifically focusing on the highly sophisticated St…
Focused Adversarial Attacks
Thomas Cilloni, Charles Walter, Charles Fleming
Recent advances in machine learning show that neural models are vulnerable to minimally perturbed inputs, or adversarial examples. Adversarial algorithms are optimization problems…
Ulixes: Facial Recognition Privacy with Adversarial Machine Learning
Thomas Cilloni, Wei Wang, Charles Walter +1
Facial recognition tools are becoming exceptionally accurate in identifying people from images. However, this comes at the cost of privacy for users of online services with photo m…