chawins Goto Github PK
Name: Chawin Sitawarin
Type: User
Company: Meta
Bio: Postdoc @ Meta (Central Applied Science - Privacy-Preserving ML). Adversarial robustness and ML security.
Twitter: csitawarin
Location: Menlo Park, CA
Name: Chawin Sitawarin
Type: User
Company: Meta
Bio: Postdoc @ Meta (Central Applied Science - Privacy-Preserving ML). Adversarial robustness and ML security.
Twitter: csitawarin
Location: Menlo Park, CA
Experiments on adversarial examples
Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)
This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits
Improving Adversarial Robustness Through Progressive Hardening (AutoAttack test)
Exploring how BagNet can be used for interpretability and defending adversarial examples
A beautiful, simple, clean, and responsive Jekyll theme for academics
Mini-lecture notes on a variety of topics from UC Berkeley's Introduction to Machine Learning course (CS189/289A Spring 2023)
Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper
COS 429 Final Project: Data Augmentation with GAN (Fall 17)
This repository provides an original implementation of Detecting Pretraining Data from Large Language Models by *Weijia Shi, *Anirudh Ajith, Mengzhou Xia, Yangsibo Huang, Daogao Liu , Terra Blevins , Danqi Chen , Luke Zettlemoyer.
Demonstrate attacks on kNN and Deep kNN
Defending against adversarial examples with diverse ensemble
Experiments on neural networks with hinge loss
Image similarity and adversarial examples
Adversarial Examples on KNN (and its neural network friends)
Papers and resources related to the security and privacy of LLMs 🤖
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"
Python package for measuring memorization in LLMs.
Study effects of data augmentation with random noises to model boundary and robustness
PAL: Proxy-Guided Black-Box Attack on Large Language Models
This repository contains code and tools for reading, processing, evaluating on, and visualizing Panoptic Parts datasets. Moreover, it contains code for reproducing our CVPR 2021 paper results.
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.