46 citations · 84 across the 4 of their papers we have counts for
4 papers
Systematic Evaluation of Backdoor Data Poisoning Attacks on Image Classifiers
Loc Truong, Chace Jones, Brian Hutchinson +5
Backdoor data poisoning attacks have recently been demonstrated in computer vision research as a potential safety risk for machine learning (ML) systems. Traditional data poisoning…
Projecting Trouble: Light Based Adversarial Attacks on Deep Learning Classifiers
Nicole Nichols, Robert Jasper
This work demonstrates a physical attack on a deep learning image classification system using projected light onto a physical scene. Prior work is dominated by techniques for creat…
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection
Aaron Tuor, Ryan Baerwolf, Nicolas Knowles +3
Automated analysis methods are crucial aids for monitoring and defending a network to protect the sensitive or confidential data it hosts. This work introduces a flexible, powerful…
Faster Fuzzing: Reinitialization with Deep Neural Models
Nicole Nichols, Mark Raugas, Robert Jasper +1
We improve the performance of the American Fuzzy Lop (AFL) fuzz testing framework by using Generative Adversarial Network (GAN) models to reinitialize the system with novel seed fi…