Alternatives and similar repositories for Sherlock:

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

• deqangss / malware-uncertainty
  deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware
  ☆15Updated 3 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆29Updated 2 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆29Updated 3 months ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆71Updated 4 months ago
• yueyueL / XAIforAndroidMalware
  Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
  ☆13Updated 2 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 years ago
• friendllcc / DMalNet
  ☆18Updated 2 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)
  ☆13Updated 11 months ago
• crowdma / benchmfc
  A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift
  ☆11Updated 2 weeks 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
• wagner-group / active-learning
  Continuous Learning for Android Malware Detection (USENIX Security 2023)
  ☆67Updated last year
• 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）
  ☆30Updated 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 / 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
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆16Updated 3 years ago
• danielgibert / mlw_classification_hydra
  ☆28Updated 4 years ago
• whyisyoung / BODMAS
  Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …
  ☆79Updated last year
• officialarijit / DW-FedAvg
  A Federated Learning based Android Malware Classification System
  ☆26Updated last year
• deqangss / aics2019_challenge_adv_mal_defense
  Codes for AICS'2019 challenge problem
  ☆22Updated 5 years ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆62Updated 4 years ago
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆50Updated 10 months ago
• vinayakakv / android-malware-detection
  Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
  ☆38Updated 3 years ago
• diningphil / robust-call-graph-malware-detection
  Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)
  ☆13Updated last year
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆78Updated 2 years ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 5 years ago
• deqangss / pad4amd
  adversarial malware detection via a principled way
  ☆20Updated last year
• mahitaberrefae / Malware-Detection
  With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, …
  ☆22Updated 5 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 years ago
• seclab-fudan / APIGraph
  Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors
  ☆84Updated 2 years ago