sachith500 / Sherlock

Related projects ⓘ

Alternatives and complementary repositories for Sherlock

• deqangss / malware-uncertainty
  deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware
  ☆14Updated 2 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆47Updated 2 years ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆69Updated last week
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆55Updated last year
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆12Updated 3 years ago
• danielgibert / mlw_classification_cnn_img
  ☆27Updated 5 years ago
• friendllcc / DMalNet
  ☆16Updated 2 years ago
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆14Updated 3 years ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 4 years ago
• 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
  ☆59Updated 3 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…
  ☆16Updated 3 years ago
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆48Updated 6 months ago
• danielgibert / mlw_classification_hydra
  ☆27Updated 4 years ago
• ShoumikSaha / DRSM
  DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
  ☆11Updated 6 months ago
• rickyxume / MalwareViT
  Training Vision Transformers from Scratch for Malware Classification
  ☆26Updated 3 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…
  ☆31Updated 3 years ago
• deqangss / pad4amd
  adversarial malware detection via a principled way
  ☆16Updated last year
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆27Updated 2 years ago
• ryderling / MalGraph
  Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"
  ☆41Updated 2 years ago
• vinayakakv / android-malware-detection
  Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
  ☆35Updated 3 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆27Updated 4 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）
  ☆28Updated 2 years ago
• yueyueL / XAIforAndroidMalware
  Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
  ☆13Updated 2 years ago
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆129Updated last year
• RingBDStack / HAWK
  ☆16Updated 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
  ☆78Updated 2 years ago
• Thijsvanede / DeepCASE
  Original implementation and resources of DeepCASE as in the S&P '22 paper
  ☆91Updated last year
• ocatak / lstm_malware_detection
  ☆30Updated 4 years ago
• wagner-group / active-learning
  Continuous Learning for Android Malware Detection (USENIX Security 2023)
  ☆58Updated last year