ZaydH

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ML Applied Scientist @Qualtrics

Seattle, WA

https://ZaydH.github.io

Zayd Hammoudeh's repositories

influence_analysis_papers

Influence Analysis and Estimation - Survey, Papers, and Taxonomy

MIT57 90

MalwareGAN

Adversarial Malware Generator Using GANs

Language:PythonMIT48 4 7

arbitrary_pu

NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"

Language:PythonMIT14 40

spur

SAT'18 Paper: SPUR - Satisfying Perfectly Uniform Random sampler (Winner Best Student Paper)

Language:C++MIT7 3 4

target_identification

CCS'22 Paper: "Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation"

Language:PythonMIT7 1 1

certified-regression

SaTML'23 Paper: "Reducing Certified Regression to Certified Classification for General Poisoning Attacks"

Language:PythonMIT2 10

cosin

MIT2 3 1

parallel_pso

Empirical Comparison of Parallel Frameworks for Particle Swarm Optimization

Language:C++MIT1 20

autograder_samples

Examples of autograders for running on Gradescope

Language:Java000

cis510_nlp

CIS510 - Natural Language Processing

Language:TeXMIT020

cis561

Introduction to Compilers

Language:C++030

cis572

CIS572: Machine Learning

Language:Jupyter NotebookMIT020

cis607_xai

Seminar on Explainable AI

Language:TeX020

cmps242

CMPS242 - Machine Learning (UCSC)

Language:HTML050

covariate_shift_risk_estimation

Risk estimator comparison for 20 newsgroups under negative covariate shift

Language:PythonMIT030

dotfiles

Dot Files for Use on Linux/Mac

Language:Shell03 1

fastai_pytest_testcase

Language:Python020

feature-partition

AAAI'24 Paper: "Provable Robustness Against a Union of L0 Attacks"

Language:PythonMIT010

math562

MATH562 - Introduction to Statistics II

Language:TeX020

plotext

plotting on terminal

Language:PythonMIT000

PUbiasedN

PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.

Language:Python020

pytest_bug

Pytest bug

Language:Python020

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Language:C++NOASSERTION010

pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

Language:PythonNOASSERTION010

st

simple statistics from the command line

Language:PerlMIT000

stratego

CIS510: Stratego Board Game

Language:PythonMIT000

towards_adversarial_robustness

Language:TeXMIT020

TrainingSetCamouflage

000

tree_influence

Influence Estimation for Gradient-Boosted Decision Trees

Language:PythonApache-2.0000

udl_arbitrary_pu

Source code for UDL2020 paper: "Positive-Unlabeled Learning with Arbitrarily Non-Representative Labeled Data"

Language:PythonMIT020