ZaydH

I like cats, especially my cat.

ML Applied Scientist @QualtricsSeattle, WA

Pinned Repositories

arbitrary_pu
NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
Language:Python14 4 04
certified-regression
SaTML'23 Paper: "Reducing Certified Regression to Certified Classification for General Poisoning Attacks"
Language:Python2 1 01
CS156
CS156 - Fall 2014 - Introduction to Artificial Intelligence
Language:Python4 4 01
influence_analysis_papers
Influence Analysis and Estimation - Survey, Papers, and Taxonomy
58 9 13
MalwareGAN
Adversarial Malware Generator Using GANs
Language:Python49 4 820
sjsu_thesis
San Jose State University - Master's Thesis
Language:Python7 2 05
spur
SAT'18 Paper: SPUR - Satisfying Perfectly Uniform Random sampler (Winner Best Student Paper)
Language:C++7 3 41
target_identification
CCS'22 Paper: "Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation"
Language:Python8 1 10
trump_char_rnn
Character-Level RNN to Generate Speech in the Style of Donald Trump
Language:Python3 2 01

ZaydH's Repositories

ZaydH/influence_analysis_papers
Influence Analysis and Estimation - Survey, Papers, and Taxonomy
58 9 13
ZaydH/MalwareGAN
Adversarial Malware Generator Using GANs
Language:Python49 4 820
ZaydH/arbitrary_pu
NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
Language:Python14 4 04
ZaydH/target_identification
CCS'22 Paper: "Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation"
Language:Python8 1 10
ZaydH/spur
SAT'18 Paper: SPUR - Satisfying Perfectly Uniform Random sampler (Winner Best Student Paper)
Language:C++7 3 41
ZaydH/certified-regression
SaTML'23 Paper: "Reducing Certified Regression to Certified Classification for General Poisoning Attacks"
Language:Python2 1 01
ZaydH/cosin
2 3 10
ZaydH/parallel_pso
Empirical Comparison of Parallel Frameworks for Particle Swarm Optimization
Language:C++1 2 0
ZaydH/towards_adversarial_robustness
Language:TeX0 2 00
ZaydH/autograder_samples
Examples of autograders for running on Gradescope
Language:Java0 0
ZaydH/cis510_nlp
CIS510 - Natural Language Processing
Language:TeX2 08
ZaydH/cis561
Introduction to Compilers
Language:C++3 0
ZaydH/cis572
CIS572: Machine Learning
Language:Jupyter Notebook2 0
ZaydH/cis607_xai
Seminar on Explainable AI
Language:TeX2 0
ZaydH/cmps242
CMPS242 - Machine Learning (UCSC)
Language:HTML5 0
ZaydH/covariate_shift_risk_estimation
Risk estimator comparison for 20 newsgroups under negative covariate shift
Language:Python3 01
ZaydH/dotfiles
Dot Files for Use on Linux/Mac
Language:Shell3 1
ZaydH/fastai_pytest_testcase
Language:Python2 0
ZaydH/feature-partition
AAAI'24 Paper: "Provable Robustness Against a Union of L0 Attacks"
Language:Python1 0
ZaydH/math562
MATH562 - Introduction to Statistics II
Language:TeX2 0
ZaydH/plotext
plotting on terminal
Language:Python0 0
ZaydH/PUbiasedN
PyTorch implementation for the paper Classification from Positive, Unlabeled and Biased Negative Data.
Language:Python2 0
ZaydH/pytest_bug
Pytest bug
Language:Python2 0
ZaydH/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Language:C++1 0
ZaydH/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:Python1 0
ZaydH/st
simple statistics from the command line
Language:Perl0 0
ZaydH/stratego
CIS510: Stratego Board Game
Language:Python2 0
ZaydH/TrainingSetCamouflage
ZaydH/tree_influence
Influence Estimation for Gradient-Boosted Decision Trees
Language:Python0 0
ZaydH/udl_arbitrary_pu
Source code for UDL2020 paper: "Positive-Unlabeled Learning with Arbitrarily Non-Representative Labeled Data"
Language:Python2 0