209 citations · 353 across the 4 of their papers we have counts for
5 papers
Standard detectors aren't (currently) fooled by physical adversarial stop signs
Jiajun Lu, Hussein Sibai, Evan Fabry +1
An adversarial example is an example that has been adjusted to produce the wrong label when presented to a system at test time. If adversarial examples existed that could fool a de…
Rotation Blurring: Use of Artificial Blurring to Reduce Cybersickness in Virtual Reality First Person Shooters
Pulkit Budhiraja, Mark Roman Miller, Abhishek K Modi +1
Users of Virtual Reality (VR) systems often experience vection, the perception of self-motion in the absence of any physical movement. While vection helps to improve presence in VR…
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles
Jiajun Lu, Hussein Sibai, Evan Fabry +1
It has been shown that most machine learning algorithms are susceptible to adversarial perturbations. Slightly perturbing an image in a carefully chosen direction in the image spac…
Swapout: Learning an ensemble of deep architectures
Saurabh Singh, Derek Hoiem, David Forsyth
We describe Swapout, a new stochastic training method, that outperforms ResNets of identical network structure yielding impressive results on CIFAR-10 and CIFAR-100. Swapout sample…
Where's My Drink? Enabling Peripheral Real World Interactions While Using HMDs
Pulkit Budhiraja, Rajinder Sodhi, Brett Jones +3
Head Mounted Displays (HMDs) allow users to experience virtual reality with a great level of immersion. However, even simple physical tasks like drinking a beverage can be difficul…