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followers: 30.0 following: 57.0 repos: 20.0 gists: 0.0

Name: Ryan Sheatsley

Type: User

Company: University of Wisconsin-Madison

Bio: LEAP fellow at UW-Madison. Advised by Patrick McDaniel. Researching security of machine learning and machine learning for security hasta las quince. 🇺🇸🇩🇴

Twitter: RyanSheatsley

Location: Madison, WI

Blog: sheatsley.me

I am a Ph.D. candidate in the Department of Computer Sciences at the University of Wisconsin-Madison. I am member of MadS&P and advised by Prof. Patrick McDaniel. Previously, I earned my M.S. and B.S. in computer science and engineering from the Pennsylvania State University.

My research is at the intersection of computer security and machine learning. I investigate the risks of deploying machine learning systems in security-centric domains, how their robustness can be measured at scale, and their applications towards novel security problems. I also apply computer security principles to radiation detection, Internet measurement, and Internet of Things.

🌐 Website: Ryan Sheatsley
📧 Email: [email protected]
📫 Address: 1210 W. Dayton St., Room 2253, Madison, WI 53706, USA
📃 CV: CV
🎓 Google Scholar: Google Scholar
🐦 Twitter: @RyanSheatsley
🔑 Public Key: D97737F91189663C

Ryan Sheatsley's Projects

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

attacks icon attacks

Deep learning robustness evaluations with PyTorch

bitscrape icon bitscrape

Repo for pixel art and script for scraping 8bitdash

cleverhans icon cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

coc.nvim icon coc.nvim

Nodejs extension host for vim & neovim, load extensions like VSCode and host language servers.

datasets icon datasets

Scripts for downloading, preprocessing, and numpy-ifying popular machine learning datasets

dotfiles icon dotfiles

My personal collection of dotfiles & configs

foolbox icon foolbox

A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

games icon games

Scripts for scraping and analyzing data from video games

models icon models

PyTorch-based deep learning models with Keras-like interfaces

problems icon problems

Implementations of canonical algorithms and data structures problems

profiler icon profiler

Real-time CLI CPU & GPU performance monitor

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