Duen Horng Chau

research

∙ 08/30/2023

Robust Principles: Architectural Design Principles for Adversarially Robust CNNs

Our research aims to unify existing works' diverging opinions on how arc...

0 Shengyun Peng, et al. ∙

research

∙ 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...

0 Alec Helbling, et al. ∙

research

∙ 06/29/2023

ManimML: Communicating Machine Learning Architectures with Animation

There has been an explosion in interest in machine learning (ML) in rece...

0 Alec Helbling, et al. ∙

research

∙ 06/15/2023

WizMap: Scalable Interactive Visualization for Exploring Large Machine Learning Embeddings

Machine learning models often learn latent embedding representations tha...

0 Zijie J. Wang, et al. ∙

research

∙ 05/04/2023

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks

Computational notebooks such as Jupyter Notebook have become data scient...

0 Zijie J. Wang, et al. ∙

research

∙ 05/04/2023

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

Diffusion-based generative models' impressive ability to create convinci...

5 Seongmin Lee, et al. ∙

research

∙ 03/16/2023

WebSHAP: Towards Explaining Any Machine Learning Models Anywhere

As machine learning (ML) is increasingly integrated into our everyday We...

0 Zijie J. Wang, et al. ∙

research

∙ 02/27/2023

GAM Coach: Towards Interactive and User-centered Algorithmic Recourse

Machine learning (ML) recourse techniques are increasingly used in high-...

0 Zijie J. Wang, et al. ∙

research

∙ 02/14/2023

Energy Transformer

Transformers have become the de facto models of choice in machine learni...

0 Benjamin Hoover, et al. ∙

research

∙ 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...

0 Austin P. Wright, et al. ∙

research

∙ 01/08/2023

RobArch: Designing Robust Architectures against Adversarial Attacks

Adversarial Training is the most effective approach for improving the ro...

0 Shengyun Peng, et al. ∙

research

∙ 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...

0 Zijie J. Wang, et al. ∙

research

∙ 10/24/2022

Evaluation of Argo Scholar with Observational Study

Discovering and making sense of relevant literature is fundamental in an...

0 Kevin Li, et al. ∙

research

∙ 10/22/2022

NeuroMapper: In-browser Visualizer for Neural Network Training

We present our ongoing work NeuroMapper, an in-browser visualization too...

0 Zhiyan Zhou, et al. ∙

research

∙ 10/01/2022

Explaining Website Reliability by Visualizing Hyperlink Connectivity

As the information on the Internet continues growing exponentially, unde...

0 Seongmin Lee, et al. ∙

research

∙ 09/30/2022

IMB-NAS: Neural Architecture Search for Imbalanced Datasets

Class imbalance is a ubiquitous phenomenon occurring in real world data ...

0 Rahul Duggal, et al. ∙

research

∙ 09/19/2022

TimberTrek: Exploring and Curating Sparse Decision Trees with Interactive Visualization

Given thousands of equally accurate machine learning (ML) models, how ca...

6 Zijie J. Wang, et al. ∙

research

∙ 08/22/2022

Evaluating Cardiovascular Surgical Planning in Mobile Augmented Reality

Advanced surgical procedures for congenital heart diseases (CHDs) requir...

0 Haoyang Yang, et al. ∙

research

∙ 06/30/2022

Interpretability, Then What? Editing Machine Learning Models to Reflect Human Knowledge and Values

Machine learning (ML) interpretability techniques can reveal undesirable...

0 Zijie J. Wang, et al. ∙

research

∙ 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...

0 David Munechika, et al. ∙

research

∙ 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...

0 Zijie J. Wang, et al. ∙

research

∙ 04/12/2022

VisCUIT: Visual Auditor for Bias in CNN Image Classifier

CNN image classifiers are widely used, thanks to their efficiency and ac...

0 Seongmin Lee, et al. ∙

research

∙ 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...

0 Nilaksh Das, et al. ∙

research

∙ 04/02/2022

SkeleVision: Towards Adversarial Resiliency of Person Tracking with Multi-Task Learning

Person tracking using computer vision techniques has wide ranging applic...

0 Nilaksh Das, et al. ∙

research

∙ 03/30/2022

ConceptEvo: Interpreting Concept Evolution in Deep Learning Training

Deep neural networks (DNNs) have been widely used for decision making, p...

5 Haekyu Park, et al. ∙

research

∙ 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...

0 Ashwin S, et al. ∙

research

∙ 12/06/2021

GAM Changer: Editing Generalized Additive Models with Interactive Visualization

Recent strides in interpretable machine learning (ML) research reveal th...

0 Zijie J. Wang, et al. ∙

research

∙ 10/26/2021

Argo Scholar: Interactive Visual Exploration of Literature in Browsers

Discovering and making sense of relevant research literature is fundamen...

0 Kevin Li, et al. ∙

research

∙ 10/21/2021

Towards Automatic Grading of D3.js Visualizations

Manually grading D3 data visualizations is a challenging endeavor, and i...

0 Matthew Hull, et al. ∙

research

∙ 08/31/2021

A Search Engine for Discovery of Scientific Challenges and Directions

Keeping track of scientific challenges, advances and emerging directions...

11 Dan Lahav, et al. ∙

research

∙ 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 ...

26 Haekyu Park, et al. ∙

research

∙ 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...

0 Austin P. Wright, et al. ∙

research

∙ 05/02/2021

Graph Vulnerability and Robustness: A Survey

The study of network robustness is a critical tool in the characterizati...

0 Scott Freitas, et al. ∙

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...

0 Omar Shaikh, et al. ∙

research

∙ 03/26/2021

Dodrio: Exploring Transformer Models with Interactive Visualization

Why do large pre-trained transformer-based models perform so well across...

0 Zijie J. Wang, et al. ∙

research

∙ 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...

0 Austin P. Wright, et al. ∙

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...

0 Scott Freitas, et al. ∙

research

∙ 01/26/2021

SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models

Skeleton-based human action recognition technologies are increasingly us...

0 Haekyu Park, et al. ∙

research

∙ 11/19/2020

Toward a Bias-Aware Future for Mixed-Initiative Visual Analytics

Mixed-initiative visual analytics systems incorporate well-established d...

0 Adam Coscia, et al. ∙

research

∙ 11/16/2020

A Large-Scale Database for Graph Representation Learning

With the rapid emergence of graph representation learning, the construct...

0 Scott Freitas, et al. ∙

research

∙ 10/22/2020

A Comparative Analysis of Industry Human-AI Interaction Guidelines

With the recent release of AI interaction guidelines from Apple, Google,...

0 Austin P. Wright, et al. ∙

research

∙ 10/09/2020

Examining the Ordering of Rhetorical Strategies in Persuasive Requests

Interpreting how persuasive language influences audiences has implicatio...

5 Omar Shaikh, et al. ∙

research

∙ 09/14/2020

Should We Trust (X)AI? Design Dimensions for Structured Experimental Evaluations

This paper systematically derives design dimensions for the structured e...

0 Fabian Sperrle, et al. ∙

research

∙ 09/05/2020

Bluff: Interactively Deciphering Adversarial Attacks on Deep Neural Networks

Deep neural networks (DNNs) are now commonly used in many domains. Howev...

0 Nilaksh Das, et al. ∙

research

∙ 08/31/2020

Mapping Researchers with PeopleMap

Discovering research expertise at universities can be a difficult task. ...

0 Jon Saad-Falcon, et al. ∙

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...

0 Siwei Li, et al. ∙

research

∙ 06/10/2020

PeopleMap: Visualization Tool for Mapping Out Researchers using Natural Language Processing

Discovering research expertise at institutions can be a difficult task. ...

0 Jon Saad-Falcon, et al. ∙

research

∙ 06/10/2020

Evaluating Graph Vulnerability and Robustness using TIGER

The study of network robustness is a critical tool in the characterizati...

0 Scott Freitas, et al. ∙

research

∙ 04/30/2020

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

Deep learning's great success motivates many practitioners and students ...

60 Zijie J. Wang, et al. ∙

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...

0 Scott Freitas, et al. ∙

Duen Horng Chau

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