Alternatives and similar repositories for CADE:

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

• dongtsi / OWAD
  Anomaly Detection in the Open World: Normality Shift Detection, Explanation, and Adaptation (NDSS'23).
  ☆65Updated last week
• dongtsi / DeepAID
  Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)
  ☆71Updated 3 years ago
• junjieliang672 / FARE
  FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data
  ☆25Updated 3 years ago
• dongtsi / TrafficManipulator
  An automatic packet crafting tool for evading learning-based NIDS
  ☆79Updated 3 years ago
• Mobile-Intelligence-Lab / ACID
  Source code for the paper: Adaptive Clustering-based Malicious Traffic Classification at the Network Edge (https://homepages.inf.ed.ac.uk…
  ☆32Updated 3 years ago
• nitishabharathi / LEMNA
  Source code for 'Lemna: Explaining deep learning based security applications'.
  ☆22Updated 4 years ago
• SPIN-UMass / BLANKET
  ☆25Updated 3 years ago
• KaiWangGitHub / BARS
  BARS: Local Robustness Certification for Deep Learning based Traffic Analysis Systems (NDSS'23)
  ☆11Updated 2 years ago
• Thijsvanede / DeepCASE
  Original implementation and resources of DeepCASE as in the S&P '22 paper
  ☆92Updated last year
• amsadeghzadeh / AdversarialNetworkTraffic
  ☆19Updated 4 years ago
• msrocean / mockingbird
  Keras with Tensorflow implementation of our paper "Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with…
  ☆38Updated 10 months ago
• CactiLab / code-xNIDS
  source code for USENIX Security paper xNIDS
  ☆42Updated 7 months ago
• liuguangrui-hit / VulnerGAN-py
  A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system
  ☆20Updated 3 years ago
• cx0113 / fine-grained-unknown-attack-detection
  ☆17Updated 4 years ago
• ACANETS / NetML-Competition2020
  ☆27Updated last year
• wszhs / Cyber-Security-ML-Toolbox
  Adversarial machine learning and explainable machine learning for cyber security
  ☆11Updated 2 years ago
• akafengfeng / AI-Security
  This is a paper list about Machine Learning for IDSes
  ☆88Updated 7 months ago
• DistriNet / DLWF
  Source code for our NDSS'18 paper "Automated Website Fingerprinting through Deep Learning"
  ☆104Updated last year
• sanjit-bhat / Var-CNN
  Code for the paper "Var-CNN: A Data-Efficient Website Fingerprinting Attack Based on Deep Learning" (PETS 2019)
  ☆48Updated 4 years ago
• waimorris / E-GraphSAGE
  A PyTorch implementation of of E-GraphSAGE.
  ☆85Updated 2 years ago
• malfp / tormalwarefp
  Traffic analysis for Tor-based malware detection and classification
  ☆39Updated last year
• Chaomeng-Lu / MAML-CNN-FSIDS-IoT
  A Few-shot Based Model-Agnostic Meta-Learning for Intrusion Detection in Security of Internet of Things
  ☆12Updated last month
• YasodGinige / TrafficGPT
  : An LLM Approach for Open-Set Encrypted Traffic Classification
  ☆24Updated 4 months ago
• francasino / traffic_analysis
  A set of methods to enable traffic classification using randomness tests. We also add an automated database creation algorithm.
  ☆17Updated 3 years ago
• sunskyXX / Rosetta
  ☆43Updated last year
• Secbrain / Trident
  ☆24Updated 10 months ago
• BNN-UPC / GNN-NIDS
  ☆46Updated 3 years ago
• ymirsky / KitNET-py
  KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.
  ☆237Updated last year
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆57Updated 2 years ago
• fuchuanpu / Whisper
  Realtime Robust Malicious Traffic Detection via Frequency Domain Analysis
  ☆127Updated last year