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08/30/2023
Robust Principles: Architectural Design Principles for Adversarially Robust CNNs
Our research aims to unify existing works' diverging opinions on how arc...
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08/14/2023
LLM Self Defense: By Self Examination, LLMs Know They Are Being Tricked
Large language models (LLMs) have skyrocketed in popularity in recent ye...
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06/29/2023
ManimML: Communicating Machine Learning Architectures with Animation
There has been an explosion in interest in machine learning (ML) in rece...
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06/15/2023
WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings
Machine learning models often learn latent embedding representations tha...
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05/04/2023
SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks
Computational notebooks such as Jupyter Notebook have become data scient...
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05/04/2023
Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion
Diffusion-based generative models' impressive ability to create convinci...
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03/16/2023
WebSHAP: Towards Explaining Any Machine Learning Models Anywhere
As machine learning (ML) is increasingly integrated into our everyday We...
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02/27/2023
GAM Coach: Towards Interactive and User-centered Algorithmic Recourse
Machine learning (ML) recourse techniques are increasingly used in high-...
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02/14/2023
Energy Transformer
Transformers have become the de facto models of choice in machine learni...
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02/14/2023
Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework
While anomaly detection stands among the most important and valuable pro...
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01/08/2023
RobArch: Designing Robust Architectures against Adversarial Attacks
Adversarial Training is the most effective approach for improving the ro...
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10/26/2022
DiffusionDB: A Large-scale Prompt Gallery Dataset for Text-to-Image Generative Models
With recent advancements in diffusion models, users can generate high-qu...
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10/24/2022
Evaluation of Argo Scholar with Observational Study
Discovering and making sense of relevant literature is fundamental in an...
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10/22/2022
NeuroMapper: In-browser Visualizer for Neural Network Training
We present our ongoing work NeuroMapper, an in-browser visualization too...
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10/01/2022
Explaining Website Reliability by Visualizing Hyperlink Connectivity
As the information on the Internet continues growing exponentially, unde...
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09/30/2022
IMB-NAS: Neural Architecture Search for Imbalanced Datasets
Class imbalance is a ubiquitous phenomenon occurring in real world data ...
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09/19/2022
TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization
Given thousands of equally accurate machine learning (ML) models, how ca...
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08/22/2022
Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality
Advanced surgical procedures for congenital heart diseases (CHDs) requir...
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06/30/2022
Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values
Machine learning (ML) interpretability techniques can reveal undesirable...
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06/25/2022
Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases
As machine learning (ML) systems become increasingly widespread, it is n...
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05/08/2022
NOVA: A Practical Method for Creating Notebook-Ready Visual Analytics
How can we develop visual analytics (VA) tools that can be easily adopte...
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04/12/2022
VisCUIT: Visual Auditor for Bias in CNN Image Classifier
CNN image classifiers are widely used, thanks to their efficiency and ac...
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04/05/2022
Hear No Evil: Towards Adversarial Robustness of Automatic Speech Recognition via Multi-Task Learning
As automatic speech recognition (ASR) systems are now being widely deplo...
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04/02/2022
SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning
Person tracking using computer vision techniques has wide ranging applic...
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03/30/2022
ConceptEvo: Interpreting Concept Evolution in Deep Learning Training
Deep neural networks (DNNs) have been widely used for decision making, p...
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02/09/2022
Erasing Labor with Labor: Dark Patterns and Lockstep Behaviors on the Google Play Store
Google Play Store's policy forbids the use of incentivized installs, rat...
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12/06/2021
GAM Changer: Editing Generalized Additive Models with Interactive Visualization
Recent strides in interpretable machine learning (ML) research reveal th...
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10/26/2021
Argo Scholar: Interactive Visual Exploration of Literature in Browsers
Discovering and making sense of relevant research literature is fundamen...
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10/21/2021
Towards Automatic Grading of D3.js Visualizations
Manually grading D3 data visualizations is a challenging endeavor, and i...
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08/31/2021
A Search Engine for Discovery of Scientific Challenges and Directions
Keeping track of scientific challenges, advances and emerging directions...
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08/29/2021
NeuroCartography: Scalable Automatic Visual Summarization of Concepts in Deep Neural Networks
Existing research on making sense of deep neural networks often focuses ...
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06/15/2021
Quantifying the Impact of Human Capital, Job History, and Language Factors on Job Seniority with a Large-scale Analysis of Resumes
As job markets worldwide have become more competitive and applicant sele...
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05/02/2021
Graph Vulnerability and Robustness: A Survey
The study of network robustness is a critical tool in the characterizati...
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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...
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03/26/2021
Dodrio: Exploring Transformer Models with Interactive Visualization
Why do large pre-trained transformer-based models perform so well across...
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02/08/2021
RECAST: Enabling User Recourse and Interpretability of Toxicity Detection Models with Interactive Visualization
With the widespread use of toxic language online, platforms are increasi...
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01/31/2021
MalNet: A Large-Scale Cybersecurity Image Database of Malicious Software
Computer vision is playing an increasingly important role in automated m...
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01/26/2021
SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models
Skeleton-based human action recognition technologies are increasingly us...
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11/19/2020
Toward a Bias-Aware Future for Mixed-Initiative Visual Analytics
Mixed-initiative visual analytics systems incorporate well-established d...
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11/16/2020
A Large-Scale Database for Graph Representation Learning
With the rapid emergence of graph representation learning, the construct...
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10/22/2020
A Comparative Analysis of Industry Human-AI Interaction Guidelines
With the recent release of AI interaction guidelines from Apple, Google,...
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10/09/2020
Examining the Ordering of Rhetorical Strategies in Persuasive Requests
Interpreting how persuasive language influences audiences has implicatio...
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09/14/2020
Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations
This paper systematically derives design dimensions for the structured e...
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09/05/2020
Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks
Deep neural networks (DNNs) are now commonly used in many domains. Howev...
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08/31/2020
Mapping Researchers with PeopleMap
Discovering research expertise at universities can be a difficult task. ...
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08/26/2020
Argo Lite: Open-Source Interactive Graph Exploration and Visualization in Browsers
Graph data have become increasingly common. Visualizing them helps peopl...
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06/10/2020
PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing
Discovering research expertise at institutions can be a difficult task. ...
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06/10/2020
Evaluating Graph Vulnerability and Robustness using TIGER
The study of network robustness is a critical tool in the characterizati...
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04/30/2020
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization
Deep learning's great success motivates many practitioners and students ...
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02/21/2020
