Alternatives and similar repositories for Sherlock

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

• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆57Updated 2 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 years ago
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆13Updated 4 years ago
• deqangss / malware-uncertainty
  deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware
  ☆16Updated 3 years ago
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆16Updated 4 years ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆71Updated 6 months ago
• deqangss / pad4amd
  adversarial malware detection via a principled way
  ☆20Updated 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
• crowdma / benchmfc
  A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift
  ☆12Updated 2 months ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆30Updated 2 years ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆62Updated 4 years ago
• rickyxume / MalwareViT
  Training Vision Transformers from Scratch for Malware Classification
  ☆28Updated 3 years ago
• ShoumikSaha / DRSM
  DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)
  ☆14Updated last year
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆29Updated 5 months ago
• deqangss / aics2019_challenge_adv_mal_defense
  Codes for AICS'2019 challenge problem
  ☆22Updated 5 years ago
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆78Updated 2 years ago
• vinayakakv / android-malware-detection
  Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
  ☆38Updated 3 years ago
• yueyueL / XAIforAndroidMalware
  Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
  ☆13Updated 2 years ago
• Asichurter / APISeqFewShot
  FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…
  ☆17Updated 3 years ago
• danielgibert / mlw_classification_cnn_img
  ☆26Updated 6 years ago
• friendllcc / DMalNet
  ☆19Updated 2 years ago
• tamnguyenvan / malnet
  Malware Detection using Convolutional Neural Networks
  ☆13Updated 2 years ago
• okokabv / MAPAS
  A Practical Deep Learning-based Android Malware Detection System
  ☆16Updated 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
• aditya5558 / Android-Malware-Detection
  Android Malware Detection using Deep Learning
  ☆54Updated 5 years ago
• danielgibert / mlw_classification_hydra
  ☆28Updated 4 years ago
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆52Updated last year
• safreita1 / malnet-image
  A large-scale database of malicious software images
  ☆47Updated 3 years ago
• TanayBhadula / malware-image-detection
  A deep learning project which uses a method that converts malware .bytes files into gray-scale images and uses a CNN deep learning model …
  ☆26Updated 2 years ago
• daivc96 / android-malware-classification
  ☆11Updated last year