115 citations · 195 across the 14 of their papers we have counts for
5 papers · 2 filters
MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias
Nataniel Ruiz, Barry-John Theobald, Anurag Ranjan +2
To detect bias in face recognition networks, it can be useful to probe a network under test using samples in which only specific attributes vary in some controlled way. However, ca…
Protecting Against Image Translation Deepfakes by Leaking Universal Perturbations from Black-Box Neural Networks
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
In this work, we develop efficient disruptions of black-box image translation deepfake generation systems. We are the first to demonstrate black-box deepfake generation disruption…
Disrupting Deepfakes: Adversarial Attacks Against Conditional Image Translation Networks and Facial Manipulation Systems
Nataniel Ruiz, Sarah Adel Bargal, Stan Sclaroff
Face modification systems using deep learning have become increasingly powerful and accessible. Given images of a person's face, such systems can generate new images of that same p…
Detecting Attended Visual Targets in Video
Eunji Chong, Yongxin Wang, Nataniel Ruiz +1
We address the problem of detecting attention targets in video. Our goal is to identify where each person in each frame of a video is looking, and correctly handle the case where t…
Leveraging Affect Transfer Learning for Behavior Prediction in an Intelligent Tutoring System
Nataniel Ruiz, Hao Yu, Danielle A. Allessio +10
In this work, we propose a video-based transfer learning approach for predicting problem outcomes of students working with an intelligent tutoring system (ITS). By analyzing a stud…