Alternatives and similar repositories for malnet

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

• riak16 / Malware-Detection-using-Deep-Learning
  Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…
  ☆74Updated 5 years ago
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆78Updated 2 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 years ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆67Updated 4 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
• CircleZ3791117 / PEMalDetection
  Malware detection demo using machine learning.
  ☆25Updated 7 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆31Updated 6 months ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆73Updated 7 months ago
• ocatak / lstm_malware_detection
  ☆32Updated 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 …
  ☆82Updated last year
• ShoumikSaha / DRSM
  DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)
  ☆14Updated last year
• aditya5558 / Android-Malware-Detection
  Android Malware Detection using Deep Learning
  ☆54Updated 5 years ago
• danielgibert / mlw_classification_hydra
  ☆28Updated 4 years ago
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆13Updated 4 years ago
• Kartikaggarwal98 / Android_MalwareAnalysis
  CNN based android malware detection system
  ☆22Updated 5 years ago
• deqangss / pad4amd
  adversarial malware detection via a principled way
  ☆20Updated 2 years ago
• ALFA-group / robust-adv-malware-detection
  [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…
  ☆106Updated 11 months ago
• siddhanthp27 / Malware_Detection_Using_Deep_Learning
  An approach to detect Malware Files using Deep Learning
  ☆5Updated 6 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
• islem-esi / DeepMalwareDetector
  A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.
  ☆73Updated 2 years ago
• crowdma / benchmfc
  A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift
  ☆12Updated 3 months ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆30Updated 2 years ago
• deqangss / aics2019_challenge_adv_mal_defense
  Codes for AICS'2019 challenge problem
  ☆22Updated 5 years ago
• iosifache / DikeDataset
  Dataset with labeled benign and malicious files 🗃️
  ☆127Updated last year
• avdhoot0303 / Malware-detection-of-PE-files
  This project is Malware detection API using ML and CNN techniques
  ☆24Updated 2 years ago
• deqangss / malware-uncertainty
  deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware
  ☆16Updated 3 years ago
• danielgibert / mlw_classification_cnn_img
  ☆26Updated 6 years ago
• vikram-mm / Android-Malware-Detection
  ☆61Updated 7 years ago
• bormaa / Benign-NET
  Benign .NET files
  ☆34Updated 10 months ago
• bazinho / MalImg
  Visual malware classification experiments using deep learning techniques.
  ☆13Updated 7 years ago