Alternatives and similar repositories for Robust-PDF-Classifier-with-Conserved-Features

Users that are interested in Robust-PDF-Classifier-with-Conserved-Features are comparing it to the libraries listed below

• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆59Updated 3 years ago
• mzweilin / PDF-Malware-Parser
  PDF Malware Parser
  ☆20Updated 9 years ago
• surrealyz / pdfclassifier
  On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542
  ☆30Updated 3 years ago
• csmutz / pdfrate
  ☆13Updated last year
• danielgibert / mlw_classification_hydra
  ☆28Updated 5 years ago
• rickyxume / MalwareViT
  Training Vision Transformers from Scratch for Malware Classification
  ☆29Updated 4 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
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆55Updated last year
• eurecom-s3 / DecodingMLSecretsOfWindowsMalwareClassification
  ☆18Updated last year
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 5 years ago
• weisong-ucr / DeepMem
  A graph-based deep learning tool that can recognizes the kernel objects from raw memory dumps.
  ☆14Updated 6 years ago
• EQuiw / 2020-evasion-competition
  Defense from the 2020 Microsoft Evasion Competition
  ☆17Updated 4 years ago
• surrealyz / verified-global-properties
  Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf
  ☆28Updated 3 years ago
• 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
• suyeecav / Hybrid-Attack
  ☆24Updated 2 years ago
• eurecom-s3 / tangled_iot
  The Tangled Genealogy of IoT Malware
  ☆12Updated 4 years ago
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆13Updated 4 years ago
• yanminglai / Malware-GAN
  Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
  ☆128Updated 7 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…
  ☆109Updated last year
• 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…
  ☆52Updated 6 months ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆74Updated 11 months ago
• Aurore54F / syntactic-jsdetector
  (AST-based + variables' name info) malicious JavaScript detection system, concept from Zozzle
  ☆16Updated 5 years ago
• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆55Updated last year
• PurduePAML / TrojanNN
  Trojan Attack on Neural Network
  ☆188Updated 3 years ago
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆144Updated 2 years ago
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆18Updated 7 years ago
• pralab / IndicatorsOfAttackFailure
  Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
  ☆19Updated 3 years ago
• nuwuxian / MORSE
  ☆11Updated last year
• evandowning / deepreflect
  Discovering Malicious Functionality through Binary Reconstruction
  ☆58Updated 4 years ago
• dherath / CFGExplainer
  [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…
  ☆37Updated 3 years ago