chong-z / tree-ensemble-attack
[NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"
☆22Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for tree-ensemble-attack
- Black-Box Ripper: Copying black-box models using generative evolutionary algorithms - NIPS 2020 - Official Implementation☆28Updated 4 years ago
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆25Updated 5 years ago
- ☆23Updated last year
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆38Updated 5 years ago
- ☆37Updated 3 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Updated 4 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Updated 4 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆46Updated last year
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆99Updated 2 years ago
- Interval attacks (adversarial ML)☆21Updated 5 years ago
- TextHide: Tackling Data Privacy in Language Understanding Tasks☆30Updated 3 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆87Updated last year
- Randomized Smoothing of All Shapes and Sizes (ICML 2020).☆50Updated 4 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆67Updated 2 years ago
- [ICLR 2020] Code for paper "Robustness Verification for Transformers"☆26Updated 2 years ago
- Computationally friendly hyper-parameter search with DP-SGD☆22Updated 2 years ago
- ☆36Updated 2 years ago
- Learning perturbation sets for robust machine learning☆64Updated 3 years ago
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Updated 4 years ago
- ☆23Updated 2 years ago
- Code for Stability Training with Noise (STN)☆21Updated 3 years ago
- Code release for the ICML 2019 paper "Are generative classifiers more robust to adversarial attacks?"☆23Updated 5 years ago
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Updated 4 years ago
- Code for "On Adaptive Attacks to Adversarial Example Defenses"☆85Updated 3 years ago
- Privacy Risks of Securing Machine Learning Models against Adversarial Examples☆44Updated 4 years ago
- Code for the CSF 2018 paper "Privacy Risk in Machine Learning: Analyzing the Connection to Overfitting"☆38Updated 5 years ago
- Library for training globally-robust neural networks.☆28Updated last year
- Official TensorFlow implementation of "Parsimonious Black-Box Adversarial Attacks via Efficient Combinatorial Optimization" (ICML 2019)☆36Updated 3 years ago
- ☆26Updated last year
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆26Updated 4 years ago