Alternatives and similar repositories for 2021-machine-learning-security-evasion-competition

Users that are interested in 2021-machine-learning-security-evasion-competition are comparing it to the libraries listed below

• pralab / secml_malware
  Create adversarial attacks against machine learning Windows malware detectors
  ☆242Updated last month
• Azure / 2020-machine-learning-security-evasion-competition
  2020 Machine Learning Security Evasion Competition
  ☆49Updated 5 years ago
• unica-mlsec / mlsec
  PhD/MSc course on Machine Learning Security (Univ. Cagliari)
  ☆224Updated 3 weeks ago
• bfilar / malware_rl
  Malware Bypass Research using Reinforcement Learning
  ☆107Updated last year
• endgameinc / malware_evasion_competition
  ☆80Updated 6 years ago
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆60Updated 3 years ago
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆211Updated 4 months ago
• surrealyz / pdfclassifier
  On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542
  ☆30Updated 4 years ago
• Alexander-H-Liu / MalConv-Pytorch
  Pytorch implementation of MalConv
  ☆72Updated 3 years ago
• IBM / URET
  Universal Robustness Evaluation Toolkit (for Evasion)
  ☆32Updated 3 months ago
• pralab / secml
  A Python library for Secure and Explainable Machine Learning
  ☆190Updated 6 months ago
• srndic / mimicus
  A library for adversarial classifier evasion
  ☆43Updated 11 years ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆75Updated 3 months ago
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆55Updated last year
• twosixlabs / armory
  ARMORY Adversarial Robustness Evaluation Test Bed
  ☆187Updated last year
• 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 …
  ☆89Updated last year
• rjjoyce / MalDICT
  Malware datasets tagged by behavior, platform, vulnerability, and packer
  ☆28Updated last year
• ucsb-seclab / packware
  Effects of packers on machine-learning-based malware classifiers that use only static analysis
  ☆89Updated last year
• yanminglai / Malware-GAN
  Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
  ☆130Updated 7 years ago
• pralab / toucanstrike
  Command line tool for launching attacks against Machine Learning Malware detectors.
  ☆19Updated 2 years ago
• s2labres / transcendent-release
  ☆27Updated last year
• johnnyzn / MalRNN
  An RNN-based framework to evade opensource anti-virus which is also deep learning-based. E.g., MalConv and Non-Negative MalConv.
  ☆13Updated 5 years ago
• google-research / selfstudy-adversarial-robustness
  ☆130Updated 4 years ago
• pralab / IndicatorsOfAttackFailure
  Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
  ☆19Updated 3 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
• usnistgov / trojai-literature
  ☆151Updated last year
• 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…
  ☆110Updated last year
• trojai / trojai
  A repository to quickly generate synthetic data and associated trojaned deep learning models
  ☆84Updated 2 years ago
• Lab41 / cyphercat
  Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …
  ☆103Updated 6 years ago
• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆55Updated last year