Alternatives and similar repositories for MalwareBackdoors

Users that are interested in MalwareBackdoors 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"
  ☆56Updated last year
• deqangss / pad4amd
  adversarial malware detection via a principled way
  ☆24Updated 2 years ago
• surrealyz / pdfclassifier
  On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542
  ☆30Updated 4 years ago
• s2labres / transcendent-release
  ☆27Updated 2 years ago
• wagner-group / active-learning
  Continuous Learning for Android Malware Detection (USENIX Security 2023)
  ☆73Updated 2 years ago
• nuwuxian / MORSE
  ☆11Updated last year
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆58Updated 2 years ago
• E0HYL / FINER-explain
  CCS 2023 | Explainable malware and vulnerability detection with XAI in paper "FINER: Enhancing State-of-the-art Classifiers with Feature …
  ☆11Updated last year
• ShoumikSaha / DRSM
  DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)
  ☆14Updated last year
• gnipping / AdvDroidZero-Access-Instructions
  the instructions about request access to AdvDroidZero
  ☆13Updated last year
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆68Updated 5 years ago
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆14Updated 5 years ago
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆18Updated 4 years ago
• eurecom-s3 / DecodingMLSecretsOfWindowsMalwareClassification
  ☆18Updated last year
• PurduePAML / TrojanNN
  Trojan Attack on Neural Network
  ☆191Updated 3 years ago
• gnipping / Awesome-Malware-Related-Papers
  A curated list of malware-related papers.
  ☆34Updated last year
• Megum1 / BEAGLE
  [NDSS'23] BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
  ☆17Updated last year
• usnistgov / trojai-literature
  ☆151Updated last year
• yanminglai / Malware-GAN
  Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
  ☆130Updated 7 years ago
• msrocean / continual-learning-malware
  This repository contains code and data of the paper **On the Limitations of Continual Learning for Malware Classification**, accepted to …
  ☆19Updated 2 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.
  ☆75Updated 3 years ago
• PurduePAML / Machine-Learning-Security-Seminar
  Machine Learning & Security Seminar @Purdue University
  ☆25Updated 2 years ago
• surrealyz / verified-global-properties
  Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf
  ☆28Updated 4 years ago
• ryderling / DEEPSEC
  DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
  ☆227Updated 6 years ago
• nthu-datalab / On.the.Trade-off.between.Adversarial.and.Backdoor.Robustness
  Code for "On the Trade-off between Adversarial and Backdoor Robustness" (NIPS 2020)
  ☆17Updated 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…
  ☆53Updated 9 months ago
• ZJUNESA / SANDP
  Seminar 2022
  ☆23Updated last month
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆144Updated 2 years ago
• wubozhi / Xmal
  A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.
  ☆28Updated 3 years ago
• Henrygwb / Explaining-DL
  ☆55Updated 6 years ago