209 citations · 709 across the 27 of their papers we have counts for
4 papers · 1 filter
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…
SafetyNet: Detecting and Rejecting Adversarial Examples Robustly
Jiajun Lu, Theerasit Issaranon, David Forsyth
We describe a method to produce a network where current methods such as DeepFool have great difficulty producing adversarial samples. Our construction suggests some insights into h…