google-research / selfstudy-adversarial-robustness

Related projects ⓘ

Alternatives and complementary repositories for selfstudy-adversarial-robustness

• twosixlabs / armory
  ARMORY Adversarial Robustness Evaluation Test Bed
  ☆176Updated 10 months ago
• usnistgov / trojai-literature
  ☆140Updated last month
• trojai / trojai
  A repository to quickly generate synthetic data and associated trojaned deep learning models
  ☆74Updated last year
• aks2203 / poisoning-benchmark
  A unified benchmark problem for data poisoning attacks
  ☆152Updated last year
• Lab41 / cyphercat
  Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …
  ☆99Updated 5 years ago
• wielandbrendel / adaptive_attacks_paper
  Code for "On Adaptive Attacks to Adversarial Example Defenses"
  ☆85Updated 3 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 …
  ☆99Updated 2 years ago
• cassidylaidlaw / perceptual-advex
  Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".
  ☆54Updated 2 years ago
• evaluating-adversarial-robustness / adv-eval-paper
  LaTeX source for the paper "On Evaluating Adversarial Robustness"
  ☆253Updated 3 years ago
• JonasGeiping / poisoning-gradient-matching
  Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching
  ☆94Updated 3 months ago
• tribhuvanesh / knockoffnets
  Knockoff Nets: Stealing Functionality of Black-Box Models
  ☆89Updated last year
• eth-sri / adaptive-auto-attack
  ☆23Updated 3 years ago
• inspire-group / membership-inference-evaluation
  Systematic Evaluation of Membership Inference Privacy Risks of Machine Learning Models
  ☆124Updated 7 months ago
• carlini / pycallcc
  Discount jupyter.
  ☆42Updated 2 years ago
• wronnyhuang / metapoison
  Craft poisoned data using MetaPoison
  ☆47Updated 3 years ago
• pralab / secml
  A Python library for Secure and Explainable Machine Learning
  ☆153Updated last week
• ashafahi / inceptionv3-transferLearn-poison
  Attacking a dog vs fish classification that uses transfer learning inceptionV3
  ☆68Updated 6 years ago
• jagielski / auditing-dpsgd
  Code for Auditing DPSGD
  ☆35Updated 2 years ago
• suyeecav / model-targeted-poisoning
  code for model-targeted poisoning
  ☆12Updated last year
• carlini / nn_breaking_detection
  Code corresponding to the paper "Adversarial Examples are not Easily Detected..."
  ☆84Updated 7 years ago
• columbia / pixeldp
  ☆63Updated 5 years ago
• mzweilin / EvadeML-Zoo
  Benchmarking and Visualization Tool for Adversarial Machine Learning
  ☆186Updated last year
• tao-bai / attack-and-defense-methods
  A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
  ☆211Updated 2 years ago
• google-research / cryptanalytic-model-extraction
  ☆44Updated 3 years ago
• Jianbo-Lab / HSJA
  ☆79Updated 3 years ago
• ddkang / advex-uar
  Code for "Testing Robustness Against Unforeseen Adversaries"
  ☆80Updated 3 months ago
• shrezaei / MI-Attack
  ☆32Updated 2 months ago
• twosixlabs / armory-example
  Example external repository for interacting with armory.
  ☆11Updated 2 years ago
• AI-secure / VeriGauge
  A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]
  ☆88Updated last year