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mlmeetswat

Related to the Euro S&P Paper 2018: Forgotten Siblings: Unifying Attacks on Machine Learning and Digital Watermarking

mnist-digit-recognition-and-classification-using-cnn-with-keras-99.70

The training dataset consists of 42000 rows each of 784 pixel values thus representing 28 x 28 sized 42000 images of different digits from 0 to 9 . I have used Convolutional Neural Networks to train the model with the help of Keras and made predictions on the 28000 images of the test dataset, also achieved 99.321 % valid accuracy with just 10 epochs . Also tuned ImageDataGenerator to promote generalization and avoid overfitting problem .

mnist-keras

Using various CNN techniques on the MNIST dataset

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

moongen

MoonGen is a fully scriptable high-speed packet generator built on DPDK and LuaJIT. It can saturate a 10 Gbit/s connection with 64 byte packets on a single CPU core while executing user-provided Lua scripts for each packet. Multi-core support allows for even higher rates. It also features precise and accurate timestamping and rate control.

mptun

Multi-path Tunnel

mslstm

A Multi_Scale LSTM Model.

multidimensional-lstm-bitcoin-time-series

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

multiplex-streams

my_gcforest

nab

The Numenta Anomaly Benchmark

naiad

The Naiad system provides fast incremental and iterative computation for data-parallel workloads

nanocube

nattack

natural-adversary

Generating Natural Adversarial Examples, ICLR 2018

natural-adversary-pytorch

Pytorch implementation of "Generating Natural Adversarial Examples (ICLR 2018)"

ncp

Reliable Uncertainty Estimates in Deep Neural Networks using Noise Contrastive Priors

netgan

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

netty

Netty project - an event-driven asynchronous network application framework

network-inference-from-temporal-dependent-groups

networkanomalystorm

Anomaly detection system for streaming network data

neural-ode

Neural Ordinary Differential Equation

neuron-importance-zsl

[ECCV 2018] code for Choose Your Neuron: Incorporating Domain Knowledge Through Neuron Importance

nips2015_vrnn

nn_robust_attacks

Robust evasion attacks against neural network to find adversarial examples

node-unblocker

Web proxy for evading internet censorship, and general-purpose Node.js library for proxying and rewriting remote webpages

nodestats

Get network stats from Tor nodes

obfuscated-gradients

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

oddstream

Outlier detection in Data STREAMs