research
∙
05/02/2021
Graph Vulnerability and Robustness: A Survey
The study of network robustness is a critical tool in the characterizati...
share
research
∙
03/30/2021
EnergyVis: Interactively Tracking and Exploring Energy Consumption for ML Models
The advent of larger machine learning (ML) models have improved state-of...
research
∙
01/31/2021
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software
Computer vision is playing an increasingly important role in automated m...
research
∙
11/16/2020
A Large-Scale Database for Graph Representation Learning
With the rapid emergence of graph representation learning, the construct...
research
∙
08/26/2020
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
Graph data have become increasingly common. Visualizing them helps peopl...
research
∙
06/22/2020
ELF: An Early-Exiting Framework for Long-Tailed Classification
The natural world often follows a long-tailed data distribution where on...
research
∙
06/10/2020
Evaluating Graph Vulnerability and Robustness using TIGER
The study of network robustness is a critical tool in the characterizati...
research
∙
02/21/2020
UnMask: Adversarial Detection and Defense Through Robust Feature Alignment
Deep learning models are being integrated into a wide range of high-impa...
research
∙
01/29/2020
REST: Robust and Efficient Neural Networks for Sleep Monitoring in the Wild
In recent years, significant attention has been devoted towards integrat...
research
∙
03/14/2018