chong-z / tree-ensemble-attackLinks
[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"
☆23Updated 4 years ago
Alternatives and similar repositories for tree-ensemble-attack
Users that are interested in tree-ensemble-attack are comparing it to the libraries listed below
Sorting:
- Black-Box Ripper: Copying black-box models using generative evolutionary algorithms - NIPS 2020 - Official Implementation☆28Updated 4 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Updated 5 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆67Updated last week
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆27Updated 6 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 6 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆161Updated 5 years ago
- ☆50Updated 2 years ago
- ☆38Updated 4 years ago
- Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)☆40Updated 4 years ago
- Learning perturbation sets for robust machine learning☆65Updated 3 years ago
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆52Updated 5 years ago
- TextHide: Tackling Data Privacy in Language Understanding Tasks☆31Updated 4 years ago
- [NeurIPS 2020] Simple and practical private mean and covariance estimation.☆35Updated 4 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆24Updated 2 years ago
- Beta Shapley: a Unified and Noise-reduced Data Valuation Framework for Machine Learning (AISTATS 2022 Oral)☆41Updated 2 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Updated 2 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
- PyTorch implementation of efficient algorithms for DRO with CVaR and Chi-Square uncertainty sets☆60Updated 2 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Updated 2 years ago
- [ICLR 2020] Code for paper "Robustness Verification for Transformers"☆27Updated 7 months ago
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Updated 2 years ago
- ☆37Updated 3 years ago
- Interval attacks (adversarial ML)☆21Updated 6 years ago
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Updated 5 years ago
- Code for the paper "Understanding Generalization through Visualizations"☆61Updated 4 years ago
- Code for Stability Training with Noise (STN)☆22Updated 4 years ago
- ☆24Updated 2 years ago
- ☆26Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Updated 2 years ago
- Code for the paper "Adversarial Neural Pruning with Latent Vulnerability Suppression"☆15Updated 2 years ago