22 citations · 39 across the 7 of their papers we have counts for
7 papers
ViTGuard: Attention-aware Detection against Adversarial Examples for Vision Transformer
Shihua Sun, Kenechukwu Nwodo, Shridatt Sugrim +2
The use of transformers for vision tasks has challenged the traditional dominant role of convolutional neural networks (CNN) in computer vision (CV). For image classification tasks…
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning
Shihua Sun, Shridatt Sugrim, Angelos Stavrou +1
Federated Learning (FL) exposes vulnerabilities to targeted poisoning attacks that aim to cause misclassification specifically from the source class to the target class. However, u…
Quantifying the Security of Recognition Passwords: Gestures and Signatures
Can Liu, Shridatt Sugrim, Gradeigh D. Clark +1
Gesture and signature passwords are two-dimensional figures created by drawing on the surface of a touchscreen with one or more fingers. Prior results about their security have use…
AutoGAN: Robust Classifier Against Adversarial Attacks
Blerta Lindqvist, Shridatt Sugrim, Rauf Izmailov
Classifiers fail to classify correctly input images that have been purposefully and imperceptibly perturbed to cause misclassification. This susceptability has been shown to be con…
Transforming Speed Sequences into Road Rays on the Map with Elastic Pathing
Xianyi Gao, Bernhard Firner, Shridatt Sugrim +3
Advances in technology have provided ways to monitor and measure driving behavior. Recently, this technology has been applied to usage-based automotive insurance policies that offe…
User-Generated Free-Form Gestures for Authentication: Security and Memorability
Michael Sherman, Gradeigh Clark, Yulong Yang +5
This paper studies the security and memorability of free-form multitouch gestures for mobile authentication. Towards this end, we collected a dataset with a generate-test-retest pa…
Elastic Pathing: Your Speed is Enough to Track You
Bernhard Firner, Shridatt Sugrim, Yulong Yang +1
Today people increasingly have the opportunity to opt-in to "usage-based" automotive insurance programs for reducing insurance premiums. In these programs, participants install dev…