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adv-exp

Experiments on adversarial examples

adv-part-model

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

adv-patch-bench

adversarial-examples-gan

adversarial-examples-reading-list

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

adversarial-nonparametrics

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

ates-minimal

Improving Adversarial Robustness Through Progressive Hardening (AutoAttack test)

bagnet-adv

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

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)

dart

Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper

dataauggan

COS 429 Final Project: Data Augmentation with GAN (Fall 17)

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.

dknn_attack

Demonstrate attacks on kNN and Deep kNN

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

knn-defense

Adversarial Examples on KNN (and its neural network friends)

llm-sp

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

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.

ml_defense

network-bound

nn_proof

noise-robust

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

pal

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

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.

personal-ai

princeton_thesis