inspire-group Goto Github PK
Name: Princeton INSPIRE Research Group
Type: Organization
Location: Princeton University
Name: Princeton INSPIRE Research Group
Type: Organization
Location: Princeton University
A paper list for localized adversarial patch research
Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper
This repository is designed to compute the false positives of various age-based BGP monitoring systems for use by certificate authorities.
bedford lab research
An ACME-based CA, written in Go.
An algorithm designed to select best vantage points for use by CAs.
This is a MySQL dump backup of a database of 1.8 million certificates and corresponding BGP data from when those certificates were issued.
exploring intentional connection migration for privacy
Code for "DetectorGuard: Provably Securing Object Detectors against Localized Patch Hiding Attacks"
Full-graph DNS lookup data collected from domains in Let's Encrypt logs.
[NeurIPS 2023] Differentially Private Image Classification by Learning Priors from Random Processes
Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (https://arxiv.org/abs/2002.10509).
[PETS 2022] Machine Learning with Differentially Private Labels: Mechanisms and Frameworks
LinkMirage
Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
[USENIX Security 2022] Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture
Implements attacks and defenses for machine learning systems
Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
A module for the Matrix-Variate Gaussian (MVG) mechanism for differential privacy under matrix-valued query.
Code for "ObjectSeeker: Certifiably Robust Object Detection against Patch Hiding Attacks via Patch-agnostic Masking"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.