48 Open source projects that are alternatives of or similar to FeatureScatter

Code for the paper: Adversarial Training Against Location-Optimized Adversarial Patches. ECCV-W 2020.

SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Adversarial Distributional Training (NeurIPS 2020)

Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX Security 2018

Source code for the ICLR 2021 work "Generating Adversarial Computer Programs using Optimized Obfuscations"

This repository contains a collection of PowerShell tools that can be utilized to protect and defend an environment based on the recommendations of multiple cyber security researchers at Microsoft. These tools were created with a small to medium size enterprise environment in mind as smaller organizations do not always have the type of funding a…

The goal of this survey is two-fold: (i) to present recent advances on adversarial machine learning (AML) for the security of RS (i.e., attacking and defense recommendation models), (ii) to show another successful application of AML in generative adversarial networks (GANs) for generative applications, thanks to their ability for learning (high-…

Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

Python toolbox to evaluate graph vulnerability and robustness (CIKM 2021)

Emulate and Dissect MSF and *other* attacks

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

GAMECHANGER aspires to be the Department’s trusted solution for evidence-based, data-driven decision-making across the universe of DoD requirements

Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Self defense post module for metasploit

KitanaQA: Adversarial training and data augmentation for neural question-answering models

reproduction of Thermometer Encoding: One Hot Way To Resist Adversarial Examples in pytorch

一个针对防御 log4j2 CVE-2021-44228 漏洞的 RASP 工具。 A Runtime Application Self-Protection module specifically designed for log4j2 RCE (CVE-2021-44228) defense.

Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks

Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs

Lightweight utility to fool port scanners

Robustness benchmark for DNN models.

AliGuard PHP WAF

Simple Windows Event Log Forwarder (SWELF). Its easy to use/simply works Log Forwarder and EVTX Parser. Almost in full release here at https://github.com/ceramicskate0/SWELF/releases/latest.

Implementation of the KDD 2020 paper "Graph Structure Learning for Robust Graph Neural Networks"

Group satellites into constellations such that their average observation coverage is maximized

My entry for ICLR 2018 Reproducibility Challenge for paper Synthesizing robust adversarial examples https://openreview.net/pdf?id=BJDH5M-AW

An application to catch, search and analyze HTTP secure headers.

All Day DevOps - Automated Infrastructure Security Monitoring and Defence (ELK + AWS Lambda)

🔒 A curated checklist of 300+ tips for protecting digital security and privacy in 2021

Defacement detection with deep learning

GAMECHANGER aspires to be the Department’s trusted solution for evidence-based, data-driven decision-making across the universe of DoD requirements

A defense tool - detect web shells in local directories via md5sum

Demo for analyzing the structural imbalance on a signed social network.

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

Adversarial Ranking Attack and Defense, ECCV, 2020.

This is our official implementation for the paper: Jinhui Tang, Xiaoyu Du, Xiangnan He, Fajie Yuan, Qi Tian, and Tat-Seng Chua, Adversarial Training Towards Robust Multimedia Recommender System.

Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

A curated list of awesome resources regarding machine learning reliability.

Scaleable input gradient regularization

A Closer Look at Accuracy vs. Robustness

Code for the paper "Addressing Model Vulnerability to Distributional Shifts over Image Transformation Sets", ICCV 2019

Consistency Regularization for Adversarial Robustness (AAAI 2022)

Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation （ICCV2021）

Language-Adversarial Training for Cross-Lingual Text Classification (TACL)

Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]