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Image from v1.4 (landscapes dataset) (2/22/24)
Image Generator
Image Generator
During my senior capstone (Adversarial Examples) I had access to a department GPU machine for model training. When I was waiting on collaborators or training the capstone project on a different machine, I used this resource to work on a generative model. After the capstone wrapped, I requested special permission to extend my access and keep working on this project. Although I had not learned deeply about GANs I thought it could be a fun challenge to build one from scratch. The results are by no means photo-real but some of the later results are definitely fun to look at. Here are some of the earliest results, I later grew my datasets and improved the models, to see those results, press below.
Image from v1.2 (kingfisher dataset) (2/21/24)
Chess Position Evaluator
Chess Position Evaluator
This was my final project for my Machine Learning class. My group and I went about trying to create a function that could take in a chess board position and return an evaluation of win likelihood for the player without ever looking at depth. This would be used as a component in a chess engine and is something I want to look at more for my chess engine project.
Final Project ML.pdfAdversarial Examples
Adversarial Examples
Final Capstone Project for Computer Science Major. Explored and compared different adversarial example attacks on image classifiers for 10-week team project. Built and trained image classifiers, developed attack methods, handled dataset curation. Although involved in many parts of this project, I particularly focused on the surrogate model attacks. For this I curated datasets, designed model architectures, and supervised training cycles. In the future I would love to further explore adversarial attacks or defenses against them.
Adversarial Paper (1).pdfPage updated
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