☆37Feb 13, 2020Updated 6 years ago
Alternatives and similar repositories for adversarial-learning-literature
Users that are interested in adversarial-learning-literature are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [NeurIPS 2020] Code for "An Efficient Adversarial Attack for Tree Ensembles"☆23Jun 6, 2021Updated 4 years ago
- Connecting Interpretability and Robustness in Decision Trees through Separation☆17May 8, 2021Updated 5 years ago
- Improved Hypergradient optimizers for ML, providing better generalization and faster convergence.☆16Apr 3, 2024Updated 2 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Aug 3, 2020Updated 5 years ago
- β-CROWN: Efficient Bound Propagation with Per-neuron Split Constraints for Neural Network Verification☆31Nov 9, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆15Dec 7, 2021Updated 4 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆27Nov 23, 2019Updated 6 years ago
- Analysis of Adversarial Logit Pairing☆60Aug 13, 2018Updated 7 years ago
- SmoothFool: An Efficient Framework for Computing Smooth Adversarial Perturbations☆14Jan 6, 2022Updated 4 years ago
- ☆26Jul 18, 2019Updated 6 years ago
- Breaking Certifiable Defenses☆17Nov 22, 2022Updated 3 years ago
- ☆21Jul 16, 2019Updated 6 years ago
- ☆37Sep 26, 2017Updated 8 years ago
- The library for symbolic interval☆23Jun 23, 2020Updated 5 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.
- Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019☆47Dec 8, 2022Updated 3 years ago
- Official implementation for Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds (NeurIPS, 2021).☆25Sep 4, 2022Updated 3 years ago
- Formal Guarantees on the Robustness of a Classifier against Adversarial Manipulation [NeurIPS 2017]☆18Apr 8, 2018Updated 8 years ago
- AAAI 2020 - InteractE: Improving Convolution-based Knowledge Graph Embeddings by Increasing Feature Interactions☆87Jul 25, 2024Updated last year
- [ICML'20] Multi Steepest Descent (MSD) for robustness against the union of multiple perturbation models.☆25Jul 25, 2024Updated last year
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Apr 24, 2019Updated 7 years ago
- Robust Reinforcement Learning with the Alternating Training of Learned Adversaries (ATLA) framework☆70Jan 26, 2021Updated 5 years ago
- Source code for "Neural Anisotropy Directions"☆16Nov 17, 2020Updated 5 years ago
- Related papers for robust machine learning☆562May 25, 2023Updated 3 years 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.
- Gradually Updated Neural Networks for Large-Scale Image Recognition at ICML 2018☆10Jun 25, 2018Updated 7 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆97Jun 7, 2021Updated 4 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Apr 25, 2020Updated 6 years ago
- Fork of Microsoft/LightGBM to include support for the CEGB (Cost Efficient Gradient Boosting) algorithm. Original repository at https://g…☆13Jun 30, 2017Updated 8 years ago
- Wheat detection using Faster RCNN☆15Sep 17, 2023Updated 2 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆69Jul 12, 2025Updated 10 months ago
- A Toolbox for Adversarial Robustness Research☆1,368Sep 14, 2023Updated 2 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Feb 12, 2020Updated 6 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆227Nov 9, 2019Updated 6 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- [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 6 years ago
- Fine-grained ImageNet annotations☆30May 25, 2020Updated 6 years ago
- [ICML 2022] "Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness" by Tianlong Chen*, Huan Zhang*, Zhenyu Zhang, Shiyu…☆16Jun 22, 2022Updated 3 years ago
- Adversarial training for Graph Neural Networks☆62Feb 26, 2021Updated 5 years ago
- [NeurIPS 2020, Spotlight] State-Adversarial DQN (SA-DQN) for robust deep reinforcement learning☆35Feb 22, 2021Updated 5 years ago
- Universal Adversarial Networks☆32Jul 30, 2018Updated 7 years ago
- ☆13Jul 9, 2018Updated 7 years ago