google-research / selfstudy-adversarial-robustnessLinks
☆129Updated 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
Sorting:
- ARMORY Adversarial Robustness Evaluation Test Bed☆186Updated last year
- A unified benchmark problem for data poisoning attacks☆161Updated 2 years ago
- LaTeX source for the paper "On Evaluating Adversarial Robustness"☆257Updated 4 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Updated 3 years ago
- ☆149Updated last year
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 6 years ago
- A repository to quickly generate synthetic data and associated trojaned deep learning models☆83Updated 2 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆228Updated 6 years ago
- Code and data for the ICLR 2021 paper "Perceptual Adversarial Robustness: Defense Against Unseen Threat Models".☆56Updated 3 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆87Updated 4 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆111Updated last year
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆63Updated 4 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆50Updated last year
- A Python library for Secure and Explainable Machine Learning☆190Updated 5 months ago
- ☆66Updated 6 years ago
- Benchmarking and Visualization Tool for Adversarial Machine Learning☆189Updated 2 years ago
- Privacy Testing for Deep Learning☆209Updated 3 months ago
- ☆23Updated 4 years ago
- Interfaces for defining Robust ML models and precisely specifying the threat models under which they claim to be secure.☆62Updated 6 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- Provable adversarial robustness at ImageNet scale☆402Updated 6 years ago
- Craft poisoned data using MetaPoison☆54Updated 4 years ago
- Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…☆63Updated 6 years ago
- Creating and defending against adversarial examples☆41Updated 6 years ago
- Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"☆105Updated last year
- Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approac…☆53Updated 7 years ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆88Updated 8 years ago
- A curated list of papers on adversarial machine learning (adversarial examples and defense methods).☆212Updated 3 years ago
- ☆23Updated 2 years ago
- ☆68Updated last year