Tutouboy

Tutouboy's Stars

• KaimingHe/deep-residual-networks

  Deep Residual Learning for Image Recognition

  6.4k301702.2k

• microsoft/restler-fuzzer

  RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.

  Language:Python2.6k35489293

• flipkart-incubator/Astra

  Automated Security Testing For REST API's

  Language:Python2.5k8686396

• THUYimingLi/backdoor-learning-resources

  A list of backdoor learning resources

  1k396167

• gnipping/Awesome-ML-SP-Papers

  A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).

  19913120

• yanminglai/Malware-GAN

  Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017

  Language:Python11451057

• user1342/DroidDetective

  A machine learning malware analysis framework for Android apps.

  Language:Python1125119

• MSiam/Few-Shot-Learning

  1026018

• ZaydH/MalwareGAN

  Adversarial Malware Generator Using GANs

  Language:Python494820

• liuyugeng/baadd

  Code for Backdoor Attacks Against Dataset Distillation

  Language:Python28264

• lvpeizhuo/Data-free_Backdoor

  This is the source code for Data-free Backdoor. Our paper is accepted by the 32nd USENIX Security Symposium (USENIX Security 2023).

  Language:Python273

• Asichurter/MalFusionFSL

  Few-Shot malware classification using fused features of static analysis and dynamic analysis （基于静态+动态分析的混合特征的小样本恶意代码分类框架）

  Language:Python26322

• SPIN-UMass/FRL

  Code for USENIX Security 2023 Paper "Every Vote Counts: Ranking-Based Training of Federated Learning to Resist Poisoning Attacks"

  Language:Python17322

• 2000222/Few-shot-classification----Siamese-Networks-Triplet-Loss

  Try to train a Triplet-Siamese-Netwrok with the constrained Triplet Loss for few shot image classification.

  Language:Jupyter Notebook14202

• Asichurter/APISeqFewShot

  FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for Unknown Family Recognition with Multi-Prototype Modeling" paper.

  Language:Python14211

• lvpeizhuo/MEA-Defender

  This is the source code for MEA-Defender. Our paper is accepted by the IEEE Symposium on Security and Privacy (S&P) 2024.

  Language:Python132

• nikeluobinxiaoma/Learning-Based-PE-Malware-Family-Classification-Methods

  Language:Python11103

• Flynn-ML2019/Android-Malware-Detection

  Using machine learning to detect Android malware

  Language:Python62

• ICC-analysis/pyAndroZoo

  pyAndroZoo is a Python library to access the AndroZoo data set.

  Language:Python6301

• syeehyn/hindroid

  This repository contains a mimic implementation of the Hindroid paper

  Language:Python5000

• ICC-analysis/APK-analyzer

  Language:Shell4202

• saneranonymous/RGDroid

  Language:Jupyter Notebook41

• sharlwinkhin/msoft20

  Experimental comparison of features and machine learning classifiers for Android malware detection

  Language:Python4102

• lvpeizhuo/SSL-WM

  This is the source code for SSL-WM. Our paper is accepted by the Network and Distributed System Security Symposium (NDSS) 2024.

  Language:Python30

• carol233/myazdownload

  download APK from Androzoo and OSS from Github

  Language:Python2101

• Anderson-Xia/Awesome-Malware-Related-Papers

  A curated list of malware-related papers.

  1100

• gnipping/morse

  Language:Python1000

• ShoumikSaha/Malign

  Malign is static malware family classification tool that adopts multiple sequence alignment (MSA) with necessary pre-processing and requirement. Read our paper for more details.

  Language:C++1

• surrealyz/az

  Downloads apks from androzoo repository https://androzoo.uni.lu/

  Language:Python1000

• surrealyz/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python1000