341 citations · 1.6k across the 113 of their papers we have counts for
5 papers · 1 filter
Keeping the Bad Guys Out: Protecting and Vaccinating Deep Learning with JPEG Compression
Nilaksh Das, Madhuri Shanbhogue, Shang-Tse Chen +4
Deep neural networks (DNNs) have achieved great success in solving a variety of machine learning (ML) problems, especially in the domain of image recognition. However, recent resea…
ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models
Minsuk Kahng, Pierre Y. Andrews, Aditya Kalro +1
While deep learning models have achieved state-of-the-art accuracies for many prediction tasks, understanding these models remains a challenge. Despite the recent interest in devel…
FairPlay: Fraud and Malware Detection in Google Play
Mahmudur Rahman, Mizanur Rahman, Bogdan Carbunar +1
Fraudulent behaviors in Google Android app market fuel search rank abuse and malware proliferation. We present FairPlay, a novel system that uncovers both malware and search rank f…
Carina: Interactive Million-Node Graph Visualization using Web Browser Technologies
Dezhi Fang, Matthew Keezer, Jacob Williams +3
We are working on a scalable, interactive visualization system, called Carina, for people to explore million-node graphs. By using latest web browser technologies, Carina offers fa…
Scalable Architecture for Anomaly Detection and Visualization in Power Generating Assets
Paras Jain, Chirag Tailor, Sam Ford +5
Power-generating assets (e.g., jet engines, gas turbines) are often instrumented with tens to hundreds of sensors for monitoring physical and performance degradation. Anomaly detec…