SaswatD27
PhD Student at SEAS, University of Virginia. Differential Privacy, Fairness, Trustworthy ML.
University of VirginiaCharlottesville
SaswatD27's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
karpathy/LLM101n
LLM101n: Let's build a Storyteller
BartoszJarocki/cv
Print-friendly, minimalist CV page
himahuja/Research-Internships-for-Undergraduates
List of Research Internships for Undergraduate Students
dangkhoasdc/awesome-ai-residency
List of AI Residency Programs
strib/scigen
An automatic paper generator
google/rappor
RAPPOR: Privacy-Preserving Reporting Algorithms
MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
owkin/FLamby
Cross-silo Federated Learning playground in Python. Discover 7 real-world federated datasets to test your new FL strategies and try to beat the leaderboard.
coallaoh/Principles
Nuclearstar/K-Anonymity
Anonymization methods for network security.
linjer/jekyll-katex
[DEPRECATED] Jekyll plugin for easy server-side math rendering via KaTeX
Shubha23/Laplace-and-Exponential-mechanisms-for-privacy
Applying Laplace and exponential mechanisms to add random noise to data for differential privacy. Plotting MSE vs. epsilon.
val-iisc/Hard-Label-Model-Stealing
sdgniser/timetable
A simple timetable generator for people at NISER.
tamaramueller/DP-GNNs
Differentially private graph neural networks (GNNs)
terranceliu/rap-rank-reconstruction
Code for reproducing https://arxiv.org/abs/2211.03128
ryan112358/permute-and-flip
Source code for Permute-and-Flip: A new mechanism for differentially-private selection
sdgniser/coding-club-talks
Slides, Datasets, Notebooks, READMEs, Resources, and stuff of/for the talks
smlab-niser/cskathabarta
NISER CS Talk Series Katha Barta
SaswatD27/HybridEncryptionTermPaperCS451