244 citations · 318 across the 3 of their papers we have counts for
3 papers
cs.CV2021★ 244 cited
Deepfake Detection by Human Crowds, Machines, and Machine-informed Crowds
Matthew Groh, Ziv Epstein, Chaz Firestone +1
The recent emergence of machine-manipulated media raises an important societal question: how can we know if a video that we watch is real or fake? In two online studies with 15,016…
eess.AS2020★ 1 cited
Can you hear me ? Sensitive comparisons of human and machine perception
Michael A Lepori, Chaz Firestone
The rise of machine-learning systems that process sensory input has brought with it a rise in comparisons between human and machine perception. But such comparisons face a challeng…
cs.CV2018★ 73 cited
Humans can decipher adversarial images
Zhenglong Zhou, Chaz Firestone
How similar is the human mind to the sophisticated machine-learning systems that mirror its performance? Models of object categorization based on convolutional neural networks (CNN…