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61850-fuzzing

This repository provides fuzzing scripts to analyze an IEC 61850 implementation

a-survey-on-batadal-dataset

This survey includes recent researches related to BATADAL dataset and my experiment on it (BATADAL dataset is a time series dataset for anomaly detection).

aa_rnn_cps

Adversarial attack on RNN with CPS

acasx-simulator

active_fuzzer

Corresponding code to the paper "Active Fuzzing for Testing and Securing Cyber-Physical Systems" by authors: Yuqi Chen, Bohan Xuan, Christopher M. Poskitt, Jun Sun and Fan Zhangin in ISSTA2020.

ad2attack

This is the official code for the paper "Ad2Attack: Adaptive Adversarial Attack for Real-Time UAV Tracking".

ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

adaptive_and_fault_tolerant_flight_control_systems

Adaptive and fault tolerant flight control with Adaptive Neural Networks

adv-attack-and-defense-on-driving-model

Implementation of the paper "An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models"

adv_ecg

Code for Adversarial Examples in Electrocardiograms

advbox

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

adversarial

Code and hyperparameters for the paper "Generative Adversarial Networks"

adversarial-attacks-on-aerial-scene-classification

This repository contains the code and results for the project titled "Adversarial Attacks on Aerial Scene Classification" that I accomplished during my summer research internship at VIGIL Lab, IIT Hyderabad under the guidance of Prof. C. Krishna Mohan

adversarial-diffusion-attacks-on-graph-based-traffic-prediction-models

adversarial-driving

Adversarial Driving v.s. Autonomous Driving.

adversarial-embedding

adversarial-explanations-cifar

Code example for the paper, "Adversarial Explanations for Understanding Image Classification Decisions and Improved Neural Network Robustness."

adversarial-mtsr

adversarial-robustness-benchmark

adversarial-robustness-toolbox

Python library for adversarial attacks and defenses (evasion, poisoning) for neural networks with multiple framework support

adversarial-security-of-fdc

This repository contains the trained model checkpoints and crafted adversarial samples of the paper: Attack and Defense: Adversarial Security of Data-driven FDC Systems, Yue Zhuo and Zhiqiang Ge.

adversarial_instrument_classification

adversarial_ml_ids

Adversarial Machine Learning applications on network-based Intrusion Detection System (IDS).

adversarialattack-phm

adversarialconvex

Tensorflow implementation for generating adversarial examples using convex programming

adversarialdnn-playground

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

adversedrive

Attacking Vision based Perception in End-to-end Autonomous Driving Models

advrbtddos

aeed

AutoEncoders for Event Detection (AEED): a Keras-based class for anomaly detection in water sensor networks.