4 citations · 6 across the 4 of their papers we have counts for
7 papers
Privacy Attacks Against Biometric Models with Fewer Samples: Incorporating the Output of Multiple Models
Sohaib Ahmad, Benjamin Fuller, Kaleel Mahmood
Authentication systems are vulnerable to model inversion attacks where an adversary is able to approximate the inverse of a target machine learning model. Biometric models are a pr…
Resist : Reconstruction of irises from templates
Sohaib Ahmad, Christopher Geiger, Benjamin Fuller
Iris recognition systems transform an iris image into a feature vector. The seminal pipeline segments an image into iris and non-iris pixels, normalizes this region into a fixed-di…
FASHION: Functional and Attack graph Secured HybrId Optimization of virtualized Networks
Devon Callahan, Timothy Curry, Hazel Davidson +3
Maintaining a resilient computer network is a delicate task with conflicting priorities. Flows should be served while controlling risk due to attackers. Upon publication of a vulne…
ThirdEye: Triplet Based Iris Recognition without Normalization
Sohaib Ahmad, Benjamin Fuller
Most iris recognition pipelines involve three stages: segmenting into iris/non-iris pixels, normalization the iris region to a fixed area, and extracting relevant features for comp…
DOCSDN: Dynamic and Optimal Configuration of Software-Defined Networks
Timothy Curry, Devon Callahan, Benjamin Fuller +1
Networks are designed with functionality, security, performance, and cost in mind. Tools exist to check or optimize individual properties of a network. These properties may conflic…
Unconstrained Iris Segmentation using Convolutional Neural Networks
Sohaib Ahmad, Benjamin Fuller
The extraction of consistent and identifiable features from an image of the human iris is known as iris recognition. Identifying which pixels belong to the iris, known as segmentat…