valeriechen Goto Github PK
Name: Valerie Chen
Type: User
Company: Carnegie Mellon University
Name: Valerie Chen
Type: User
Company: Carnegie Mellon University
Python library for adversarial machine learning, attacks and defenses for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, and more with multiple framework support
This provides an example for how a user would model and test a system using the Airlock as an example. Includes functionality to generate a set of test cases that achieves data input and branch coverage, with the goal of finding critical errors in a given system.
Dataset collection and training code for "Ask Your Humans: Using Human Instructions to Improve Generalization in Reinforcement Learning"
ICNN experiments for S&DS 430 Final Project
PyTorch implementation of Grad-CAM
Secure MPC for regression & machine learning algorithms using SPDZ
Final project for CPSC 645 Topics in Theoretical Machine Learning course
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