chawins

llm-sp

Papers and resources related to the security and privacy of LLMs 🤖

Adversarial-Examples-Reading-List

This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.

pal

PAL: Proxy-Guided Black-Box Attack on Large Language Models

adv-part-model

Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)

knn-defense

Adversarial Examples on KNN (and its neural network friends)

bagnet-adv

Exploring how BagNet can be used for interpretability and defending adversarial examples

adv-patch-bench

ates-minimal

Improving Adversarial Robustness Through Progressive Hardening (AutoAttack test)

dknn_attack

Demonstrate attacks on kNN and Deep kNN

adv-exp

Experiments on adversarial examples

adversarial-nonparametrics

Adversarial Examples for Non-Parametric Methods: Attacks, Defenses and Large Sample Limits

noise-robust

Study effects of data augmentation with random noises to model boundary and robustness

chawins.github.io

A beautiful, simple, clean, and responsive Jekyll theme for academics

cs189_spring2023_notes

Mini-lecture notes on a variety of topics from UC Berkeley's Introduction to Machine Learning course (CS189/289A Spring 2023)

detect-pretrain-code

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.

ensemble_defense

Defending against adversarial examples with diverse ensemble

hinge_loss_nn

Experiments on neural networks with hinge loss

image_sim

Image similarity and adversarial examples

Mask2Former

Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"

MaskDINO

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

mimir

Python package for measuring memorization in LLMs.

network-bound

nn_proof

panoptic_parts

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.

py-gutenberg

A Python library to access the Project Gutenberg API

pytorch-cifar

95.47% on CIFAR10 with PyTorch

savio-note

Some notes and instructions for using Savio server

TAP

TAP: An automated jailbreaking method for black-box LLMs

tdc2023

This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.

tensorflow2-cifar

95.76% on CIFAR-10 with TensorFlow2