Scalable. Interactive. Interpretable.
At Georgia Tech, we innovate at the intersection of data mining and human-computer interaction (HCI) to synthesize scalable, interactive, and interpretable tools that amplify human’s ability to understand and interact with billion-scale data and machine learning models. Our focus application areas include cybersecurity (e.g., fraud detection, malware detection), adversarial machine learning (how to protect and break AI and deep learning), health, energy and social good.

AI Visualization, Interpretation, and Protection

Interpretable deep learning and machine learning through interactive visualization, with application in adversarial machine learning (how to break and protect AI and deep learning).

Visual Analytics in Deep Learning
An Interrogative Survey for the Next Frontiers
ActiVis
Visual Exploration of Facebook Deep Neural Network Models
Deployed
Facebook
GAN Lab
Playing with Generated Adversarial Networks in Browser
Google
ShapeShop
Understanding Deep Learning Representations via Interactive Experimentation
PNNL
SHIELD
Fast, practical defense for deep learning
Intel
Protect AI with JPEG
Simple, powerful defense for deep learning
Intel
ShapeShifter
Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Intel
Interactive Classification
For Deep Learning Interpretation
ADAGIO
Interactive experimentation with adversarial attack and defense for audio
Intel
ML Cube
Visual Exploration of Machine Learning Results Using Data Cube Analysis
Facebook

Large Graph Exploration & Visualization

VIGOR
Interactive Visual Exploration of Graph Query Results
Symantec
Graph Playground
Graph Decompositions in 3D
Carina
Million-scale Graph Visualization in Web Browsers
FACETS
Adaptive graph exploration
ETable
Interactive Browsing and Navigation in Relational Databases
VISAGE
Interactive Visual Graph Querying
Scalable Graph Exploration & Visualization
A survey
Apolo
Explore million-node graphs in real time
GLO-STIX
Graph-Level Operations for Specifying Techniques and Interactive eXploration
BubbleNet
Multi-resolution Large Graph Exploration
NaturalMotion
Exploring Gesture Controls for Visualizing Time-Evolving Graphs

Scalable Graph Mining

M-Flash
Billion-Scale Graph Computation by Bimodal Block Processing
M3
billion-scale ML on a PC using virtual memory
MMap
Easy billion-scale graph computation on a PC using virtual memory
Mobile MMap
Scalable Algorithms on the Go
Scalable Architecture in Power Generating Assets
For Anomaly Detection and Visualization
PEGASUS
Billion-Scale Graph Mining on Hadoop
Open Source Software World Challenge, Silver Award
MAGE
Matching Approximate Patterns in Richly-Attributed Graphs

Cyber Security & Fraud

Cyber MoneyBall
Predicting Cyber Threats with Virtual Security Products
Symantec
FairPlay
Fraud and Malware Detection in Google Play
MARCO
Fake Review Detection
SDM'14 Best Student Paper
AESOP
99%-accurate Malware Detection
Patented
Deployed
Symantec
Polonium
Malware Detection over 37 Billion File Relationships
Patented
Deployed
Symantec
Latent Gesture
Mobile Protection with Touch Signatures
NetProbe
Auction Fraud Detection
Quasi Clique
Uncovering Suspicious Links
Insider Trading Pattern Discovery
Securities and Exchange Commission

Social Good & Health

DeepPop
Deep Learning on Satellite Imagery for Population Estimation
Microsoft AI for Earth
Chronodes
Multi-focus mHealth Visual Data Exploration
mHealth Visual Discovery Dashboard
Making Sense of Mobile Health Data
Firebird
Predicting Fire Risk in Atlanta
KDD'16 Best Student Paper, runner-up
Deployed
Atlanta Fire Rescue Department
PASSAGE
A Travel Safety Assistant with Safe Path Recommendations for Pedestrians
TimeStitch
Interactive Multi-focus Cohort Discovery and Comparison
Characterizing Smoking and Drinking Abstinence
Using Social Media Communities
Understanding Pediatric Asthma Care
Using Visual Analytics
Children's Healthcare of Atlanta

KDD IDEA Workshop

Interactive Data Exploration and Analytics. Great IDEAs, 6 years in a row!

Club Members

Minsuk (Brian) Kahng
CS PhD
Shang-Tse Chen
CS PhD
Fred Hohman
CSE PhD
Drummer and frisbee thrower.
Nilaksh Das
CSE PhD
Haekyu Park
CS PhD
Scott Freitas
ML PhD
Siwei "Bob" Li
CS Undergrad
Matthew Keezer
CS Master
Joon Kim
CS Undergrad
Ángel (Alex) Cabrera
CS Undergrad
Sudeep Agarwal
CS Undergrad
Kristina Marotta
Analytics Master
Duen Horng (Polo) Chau
Associate Prof
Covert designer, photographer. Rusty cellist & pianist.

Alumni

Dr. Acar Tamersoy
CS PhD
Research Scientist, Symantec Research Labs
Dr. Robert Pienta
CSE PhD
Research Scientist, Symantec
Dezhi “Andy” Fang
CS Undergrad
Software Engineer, Airbnb
Madhuri Shanbhogue
CS Master
Software Engineer, FAcebook
Varun Bezzam
CS Master
Software Engineer, Salesforce
Prasenjeet Biswal
CS Master
Software Engineer, Oath
Jaegul Choo
CSE PhD
Assistant Prof, Korea University
Zhiyuan "Jerry" Lin
CS Undergrad
CS PhD, Stanford
Ramen lover and hackathon hacker.
Elias Khalil
CSE Master
CSE PhD, Georgia Tech
Paras Jain
CS Undergrad
Engineer, DeepScale
Peter Polack
MS Digital Media
PhD Information Studies, UCLA
Srishti Gupta
CS Master
Data Engineer, Hike Messenger
Samuel Clarke
CS Undergrad
CS Master, Carnegie Mellon
Meera Kamath
CS Master
Software Engineer, Microsoft
Florian Foerster
HCI Master
User Experience Researcher, Facebook
Yiqi (Victor) Chen
CS Undergrad
Software Engineer, Facebook
Aakash Goel
CS Master
Google
Shan Li
HCI Master
User Experience Designer, Oracle
Jake Williams
CS Undergrad
Kshitij Kulkarni
ECE Undergrad
Hugo Armando Gualdron Colmenares
CS Master, University of São Paulo
Changhyun Lee
CS Master
Software Enginner, Google
Kaeser Sabrin
CS PhD

Sponsors

Our research has been made possible by support and funding from: NSF (CNS1704701, IIS1563816, IIS1551614, TWC1526254, IIS1217559), NIH (1-U54EB020404-01), DARPA, NASA, Children's Healthcare of Atlanta, Google, Symantec, Yahoo, Intel, Microsoft, eBay, Amazon, LogicBlox, LexisNexis Dean's Award, James C. Edenfield Faculty Fellowship, Raytheon Faculty Fellowship.