17 citations · 33 across the 8 of their papers we have counts for
Showing 2023 · cs.CVShow all
2 papers · 2 filters
cs.CV2023★ 1 cited
Adversarial alignment: Breaking the trade-off between the strength of an attack and its relevance to human perception
Drew Linsley, Pinyuan Feng, Thibaut Boissin +4
Deep neural networks (DNNs) are known to have a fundamental sensitivity to adversarial attacks, perturbations of the input that are imperceptible to humans yet powerful enough to c…
cs.CV2023★ 8 cited
Computing a human-like reaction time metric from stable recurrent vision models
Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok +3
The meteoric rise in the adoption of deep neural networks as computational models of vision has inspired efforts to "align" these models with humans. One dimension of interest for…