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 6 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☆61Updated 3 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆97Updated 4 years ago
- ☆54Updated 2 years ago
- Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Network…☆59Updated 6 years ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Updated 2 years ago
- Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” …☆21Updated 6 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 years ago
- Adversarial Examples: Attacks and Defenses for Deep Learning☆32Updated 7 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
- Code for Stability Training with Noise (STN)☆22Updated 4 years ago
- Detecting Adversarial Examples in Deep Neural Networks☆67Updated 7 years ago
- Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks☆39Updated 4 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- ☆11Updated 5 years ago
- Tensorflow implementation of Meta Adversarial Training for Adversarial Patch Attacks on Tiny ImageNet.☆25Updated 4 years ago
- Source Code for ICRL 2018 Paper: PixelDefend: Leveraging Generative Models to Understand and Defend against Adversarial Examples☆25Updated 5 years ago
- Interval attacks (adversarial ML)☆21Updated 6 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Updated 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
- Craft poisoned data using MetaPoison☆52Updated 4 years ago
- Code corresponding to the paper "Adversarial Examples are not Easily Detected..."☆87Updated 7 years ago
- Code for paper "Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality".☆124Updated 4 years ago
- Attacks using out-of-distribution adversarial examples☆12Updated 5 years ago
- ☆26Updated 2 years ago
- ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks☆169Updated 3 years ago
- AAAI 2019 oral presentation☆52Updated last month
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆32Updated 4 years ago
- ☆48Updated 4 years ago
- Certifying Geometric Robustness of Neural Networks☆16Updated 2 years ago