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ad-versarial

adv-eval-paper

LaTeX source for the paper "On Evaluating Adversarial Robustness"

cifar10-bof

cifar10 using Bag-of-features method (no NN, only 80% accuracy)

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

csrankings

A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.

ensemble-adv-training

Ensemble Adversarial Training on MNIST

excessive-invariance

Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"

facecure

google-research

Google Research

handcrafted-dp

keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

librustzcash

Rust-language assets for Zcash

lm-extraction-benchmark

lm_memorization

Training data extraction on GPT-2

multirobustness

Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019

open_clip

An open source implementation of CLIP.

privacy

Library for training machine learning models with privacy for training data

pytorch-dp

Training PyTorch models with differential privacy

sealed-glass-proofs

slalom

Fast, Verifiable and Private Execution of Neural Networks in Trusted Hardware

stanford-suns-nips17

Code used by the team Stanford&Suns for the NIPS 2017 Competition on Adversarial Examples (https://www.kaggle.com/c/nips-2017-defense-against-adversarial-attack)

steal-ml

Model extraction attacks on Machine-Learning-as-a-Service platforms.

tensorflow-yolo-v3

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

zcash

Zcash - Internet Money