Alternatives and similar repositories for secml

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

• pralab / secml-torch
  SecML-Torch: A Library for Robustness Evaluation of Deep Learning Models
  ☆67Updated this week
• unica-mlsec / mlsec
  PhD/MSc course on Machine Learning Security (Univ. Cagliari)
  ☆210Updated 2 months ago
• twosixlabs / armory
  ARMORY Adversarial Robustness Evaluation Test Bed
  ☆182Updated last year
• trojai / trojai
  A repository to quickly generate synthetic data and associated trojaned deep learning models
  ☆78Updated 2 years ago
• hbaniecki / adversarial-explainable-ai
  💡 Adversarial attacks on explanations and how to defend them
  ☆324Updated 8 months ago
• google-research / selfstudy-adversarial-robustness
  ☆128Updated 3 years ago
• ZhengyuZhao / AI-Security-and-Privacy-Events
  A curated list of academic events on AI Security & Privacy
  ☆160Updated last year
• trailofbits / PrivacyRaven
  Privacy Testing for Deep Learning
  ☆207Updated 2 years ago
• usnistgov / trojai-literature
  ☆146Updated 10 months ago
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆59Updated 3 years ago
• ain-soph / trojanzoo
  TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…
  ☆295Updated last year
• stratosphereips / awesome-ml-privacy-attacks
  An awesome list of papers on privacy attacks against machine learning
  ☆618Updated last year
• IBM / URET
  Universal Robustness Evaluation Toolkit (for Evasion)
  ☆31Updated 3 months 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 last year
• jeiks / Stealing_DL_Models
  Copycat CNN
  ☆27Updated last year
• pralab / secml_malware
  Create adversarial attacks against machine learning Windows malware detectors
  ☆230Updated 2 months ago
• Lab41 / cyphercat
  Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …
  ☆103Updated 5 years ago
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆157Updated last year
• klasleino / gloro
  Library for training globally-robust neural networks.
  ☆28Updated 2 weeks ago
• ryderling / DEEPSEC
  DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model
  ☆217Updated 6 years ago
• pralab / IndicatorsOfAttackFailure
  Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
  ☆19Updated 3 years ago
• privacytrustlab / ml_privacy_meter
  Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
  ☆673Updated 3 months ago
• spring-epfl / mia
  A library for running membership inference attacks against ML models
  ☆149Updated 2 years ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆86Updated 4 years ago
• bolunwang / backdoor
  Code implementation of the paper "Neural Cleanse: Identifying and Mitigating Backdoor Attacks in Neural Networks", at IEEE Security and P…
  ☆296Updated 5 years ago
• eth-sri / adaptive-auto-attack
  ☆23Updated 3 years ago
• AdamtayZzz / AI-security-related-paper-list
  Papers I have collected and read in undergraduate and graduate period
  ☆52Updated last year
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆66Updated 4 years ago
• AI-secure / Certified-Robustness-SoK-Oldver
  This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …
  ☆98Updated 2 years ago
• PurduePAML / TrojanNN
  Trojan Attack on Neural Network
  ☆187Updated 3 years ago