IBM / CLEVER-Robustness-ScoreLinks
Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018
☆52Updated 7 years ago
Alternatives and similar repositories for CLEVER-Robustness-Score
Users that are interested in CLEVER-Robustness-Score are comparing it to the libraries listed below
Sorting:
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago
- CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks☆63Updated 4 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆98Updated 4 years ago
- Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…☆62Updated 6 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- This repository is for NeurIPS 2018 spotlight paper "Attacks Meet Interpretability: Attribute-steered Detection of Adversarial Samples."☆31Updated 3 years ago
- Code for Stability Training with Noise (STN)☆22Updated 4 years ago
- Craft poisoned data using MetaPoison☆53Updated 4 years ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆88Updated 7 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Updated 2 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆67Updated 7 years ago
- ☆48Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 6 years ago
- Official implementation for paper: A New Defense Against Adversarial Images: Turning a Weakness into a Strength☆38Updated 5 years ago
- ☆56Updated 2 years ago
- ☆14Updated 6 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Updated 5 years ago
- Code for "Black-box Adversarial Attacks with Limited Queries and Information" (http://arxiv.org/abs/1804.08598)☆179Updated 3 years ago
- Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking B…☆58Updated 5 years ago
- Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://g…☆30Updated 5 years ago
- Interval attacks (adversarial ML)☆21Updated 6 years ago
- AAAI 2019 oral presentation☆53Updated 3 months ago
- Code implementation of the paper "With Great Training Comes Great Vulnerability: Practical Attacks against Transfer Learning", at USENIX …☆20Updated 6 years ago
- ☆99Updated 4 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆103Updated 5 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆125Updated 4 years ago
- Witches' Brew: Industrial Scale Data Poisoning via Gradient Matching☆109Updated last year
- The code is for our NeurIPS 2019 paper: https://arxiv.org/abs/1910.04749☆34Updated 5 years ago
- Code for "Prior Convictions: Black-Box Adversarial Attacks with Bandits and Priors"☆64Updated 5 years ago