Mortal12138

new-grad-positions

本项目旨在收集 2023 届互联网公司校招和实习的最新官方招聘信息，帮助在校生消除信息不对称带来的劣势，欢迎贡献 👏🏻。

awesome-adversarial-machine-learning

A curated list of awesome adversarial machine learning resources

AI-for-Security-Learning

安全场景、基于AI的安全算法和安全数据分析业界实践

lmt

Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."

planet

PLANET: a Piece-wise LineAr feed-forward NEural network verification Tool

geometric-certificates

Geometric Certifications of Neural Nets

relu_stable

magic-python

Python 黑魔法手册

Network-Intrusion-Detection

Network Intrusion Detection KDDCup '99', NSL-KDD and UNSW-NB15

nfstream

NFStream: a Flexible Network Data Analysis Framework.

LogADEmpirical

Log-based Anomaly Detection with Deep Learning: How Far Are We? (ICSE 2022, Technical Track)

NeuralLog

Log-based Anomaly Detection Without Log Parsing (ASE 2021, Research Track)

ACID

Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk/ppatras/pub/infocom21.pdf)

Fs-net

FS-Net: A Flow Sequence Network For Encrypted Traffic Classification

FS-Net

Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”

momentumnet

Drop-in replacement for any ResNet with a significantly reduced memory footprint and better representation capabilities

DeepCorr

deepcorr

A replicated implementation of the article 'DeepCorr: Strong Flow Correlation Attacks on Tor Using Deep Learning' in Tensorflow 2.3.

DeepDIG

This repository contains the code for Characterizing the Decision Boundary of Deep Neural Networks

decision-boundaries

code we used in Decision Boundary Analysis of Adversarial Examples https://openreview.net/forum?id=BkpiPMbA-

UnsupervisedLearing

DeepClustering

Methods and Implements of Deep Clustering

dec

MixedRealityToolkit-Unity

This repository is for the legacy Mixed Reality Toolkit (MRTK) v2. For the latest version of the MRTK please visit https://github.com/MixedRealityToolkit/MixedRealityToolkit-Unity

DeepAID

Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)

nprint

nPrint provides a generalizable data representation for network packets that works directly with machine learning techniques

df

The source code and dataset are used to demonstrate the DF model, and reproduce the results of the ACM CCS2018 paper

wangknn-dataset

Dataset from 'Effective Attacks and Provable Defenses for Website Fingerprinting'

OmniAnomaly

KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

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