Alternatives and similar repositories for benchmfc

Users that are interested in benchmfc are comparing it to the libraries listed below

• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆52Updated last year
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆16Updated 4 years ago
• ShoumikSaha / DRSM
  DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)
  ☆14Updated last year
• friendllcc / DMalNet
  ☆19Updated 2 years ago
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆13Updated 4 years ago
• deqangss / pad4amd
  adversarial malware detection via a principled way
  ☆20Updated 2 years ago
• ryderling / MalGraph
  Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"
  ☆46Updated 3 years ago
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆57Updated 2 years ago
• 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）
  ☆31Updated 3 years ago
• ryderling / adversarial-attacks-and-defenses-for-windows-pe-malware-detection
  A curated resource list of adversarial attacks and defenses for Windows PE malware detection.
  ☆71Updated 2 years ago
• deqangss / aics2019_challenge_adv_mal_defense
  Codes for AICS'2019 challenge problem
  ☆22Updated 5 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆31Updated 6 months ago
• gnipping / AdvDroidZero-Access-Instructions
  the instructions about request access to AdvDroidZero
  ☆11Updated last year
• E0HYL / MsDroid
  An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…
  ☆58Updated last year
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆30Updated 2 years ago
• PowerLZY / MalGAN
  主题为”基于GAN的恶意软件对抗样本生成“。首先介绍了恶意软件发展现状，引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器，详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架，并对实验结果进行了对比。最后总结了结构…
  ☆34Updated 3 years ago
• Bowen-n / MCBG
  Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)
  ☆21Updated 3 years ago
• gnipping / Awesome-Malware-Related-Papers
  A curated list of malware-related papers.
  ☆28Updated last year
• nuwuxian / morse
  ☆11Updated 11 months ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆67Updated 4 years ago
• Optimus-He / MalwareTotal
  ☆39Updated this week
• evandowning / deepreflect
  Discovering Malicious Functionality through Binary Reconstruction
  ☆55Updated 3 years ago
• seclab-fudan / APIGraph
  Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors
  ☆87Updated 2 years ago
• deqangss / malware-uncertainty
  deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware
  ☆16Updated 3 years ago
• weisong-ucr / MAB-malware
  MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…
  ☆44Updated 2 months ago
• nikeluobinxiaoma / Learning-Based-PE-Malware-Family-Classification-Methods
  ☆11Updated 3 years ago
• s2labres / transcendent-release
  ☆23Updated last year
• Trustworthy-Software / Reproduction-of-Android-Malware-detection-approaches
  ☆39Updated 3 years ago
• eurecom-s3 / DecodingMLSecretsOfWindowsMalwareClassification
  ☆18Updated last year
• s2labres / tesseract-ml-release
  Code library for the Tesseract framework from 'TESSERACT: Eliminating experimental bias in malware classification across space and time'
  ☆13Updated 6 months ago