google-research / selfstudy-adversarial-robustness
☆121Updated 3 years ago
Alternatives and similar repositories for selfstudy-adversarial-robustness:
Users that are interested in selfstudy-adversarial-robustness are comparing it to the libraries listed below
- ARMORY Adversarial Robustness Evaluation Test Bed☆177Updated last year
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆86Updated 4 years ago
- ☆142Updated 5 months ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆252Updated 3 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆99Updated 2 years ago
- A Python library for Secure and Explainable Machine Learning☆172Updated last month
- Library for training globally-robust neural networks.☆28Updated last year
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆77Updated last year
- A unified benchmark problem for data poisoning attacks☆153Updated last year
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆88Updated last year
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆210Updated 2 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆55Updated 3 years ago
- ☆23Updated 3 years ago
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆61Updated 3 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆100Updated 6 months ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆188Updated last year
- PhD/MSc course on Machine Learning Security (Univ. Cagliari)☆208Updated 2 months ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆224Updated 5 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆49Updated 5 months ago
- Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.☆62Updated 5 years ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆85Updated 7 years ago
- Creating and defending against adversarial examples☆42Updated 6 years ago
- 😎 A curated list of awesome real-world adversarial examples resources☆58Updated 4 years ago
- Example external repository for interacting with armory.☆11Updated 2 years ago
- Knockoff Nets: Stealing Functionality of Black-Box Models☆94Updated 2 years ago
- Code for "Testing Robustness Against Unforeseen Adversaries"☆81Updated 7 months ago
- ☆156Updated 4 years ago
- Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)☆125Updated last year
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆160Updated 4 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆123Updated 4 years ago