Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
☆50Apr 25, 2020Updated 6 years ago
Alternatives and similar repositories for provably-robust-boosting
Users that are interested in provably-robust-boosting are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆69Jul 12, 2025Updated last year
- [NeurIPS 2019] H. Chen*, H. Zhang*, S. Si, Y. Li, D. Boning and C.-J. Hsieh, Robustness Verification of Tree-based Models (*equal contrib…☆27Jun 15, 2019Updated 7 years ago
- [ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html☆23Feb 15, 2024Updated 2 years ago
- [NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"☆23Jun 6, 2021Updated 5 years ago
- ☆13Jun 23, 2022Updated 4 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 8 years ago
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆44Sep 11, 2023Updated 2 years ago
- Code relative to "Adversarial robustness against multiple and single $l_p$-threat models via quick fine-tuning of robust classifiers"☆19Nov 30, 2022Updated 3 years ago
- ☆46May 8, 2024Updated 2 years ago
- Robustness for Non-Parametric Classification: A Generic Attack and Defense☆18Nov 21, 2022Updated 3 years ago
- Cost-Aware Robust Tree Ensembles for Security Applications (Usenix Security'21) https://arxiv.org/pdf/1912.01149.pdf☆18Mar 2, 2021Updated 5 years ago
- Attacks using out-of-distribution adversarial examples☆11Nov 19, 2019Updated 6 years ago
- Geometric Certifications of Neural Nets☆42Nov 22, 2022Updated 3 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆27Nov 23, 2019Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Connecting Interpretability and Robustness in Decision Trees through Separation☆17May 8, 2021Updated 5 years ago
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Dec 8, 2022Updated 3 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆42Apr 24, 2019Updated 7 years ago
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Nov 16, 2019Updated 6 years ago
- On the effectiveness of adversarial training against common corruptions [UAI 2022]☆30May 16, 2022Updated 4 years ago
- Implementation of average- and worst-case robust flatness measures for adversarial training.☆15Nov 5, 2021Updated 4 years ago
- The released code of ReluVal in USENIX Security 2018☆60Mar 4, 2020Updated 6 years ago
- Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://g…☆30Nov 1, 2019Updated 6 years ago
- FuseLIP: Multimodal Embeddings via Early Fusion of Discrete Tokens☆17Sep 8, 2025Updated 10 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆97Oct 18, 2022Updated 3 years ago
- Code for Stability Training with Noise (STN)☆22Dec 27, 2020Updated 5 years ago
- Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]☆170Jul 2, 2020Updated 6 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆98Jun 7, 2021Updated 5 years ago
- A community-run reference for state-of-the-art adversarial example defenses.☆52Oct 13, 2024Updated last year
- ☆22Updated this week
- [ECCV 2024] Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models☆21Jul 17, 2024Updated 2 years ago
- [NeurIPS 2023] Code for the paper "Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threa…☆39Dec 3, 2024Updated last year
- SC-Adagrad, SC-RMSProp and RMSProp algorithms for training deep networks proposed in☆14Oct 5, 2018Updated 7 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆33Jan 23, 2025Updated last year
- ☆12Feb 19, 2025Updated last year
- OVAL framework for BaB-based Neural Network Verification☆18May 8, 2026Updated 2 months ago
- Logit Pairing Methods Can Fool Gradient-Based Attacks [NeurIPS 2018 Workshop on Security in Machine Learning]☆19Dec 2, 2018Updated 7 years ago
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Jul 25, 2024Updated last year
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆229Nov 9, 2019Updated 6 years ago
- A toolkit for neural language modeling using Tensorflow including basic models like RNNs and LSTMs as well as more advanced models.☆21Jan 31, 2019Updated 7 years ago