Geometric Certifications of Neural Nets
☆42Nov 22, 2022Updated 3 years ago
Alternatives and similar repositories for geometric-certificates
Users that are interested in geometric-certificates are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Provable Robustness of ReLU networks via Maximization of Linear Regions [AISTATS 2019]☆31Jul 15, 2020Updated 5 years ago
- A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturb…☆12Aug 5, 2020Updated 5 years ago
- ☆31Oct 7, 2020Updated 5 years ago
- Fastened CROWN: Tightened Neural Network Robustness Certificates☆10Feb 10, 2020Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆49Mar 3, 2025Updated last year
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆87Jul 25, 2024Updated last year
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Apr 24, 2020Updated 5 years ago
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Nov 16, 2019Updated 6 years ago
- A method for training neural networks that are provably robust to adversarial attacks.☆391Feb 16, 2022Updated 4 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Jan 24, 2018Updated 8 years ago
- The Limited Multi-Label Projection Layer☆59Jul 25, 2024Updated last year
- Code for the Adversarial Image Detectors and a Saliency Map☆12Mar 23, 2017Updated 9 years ago
- Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"☆227Nov 9, 2019Updated 6 years ago
- code for EMNLP 2024 paper: How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for M…☆13Nov 17, 2024Updated last year
- 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.
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Apr 24, 2019Updated 6 years ago
- code for experiments in Grosse and Salakhutdinov, 2015.☆12Oct 9, 2016Updated 9 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Apr 25, 2020Updated 5 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆27Nov 23, 2019Updated 6 years ago
- Robustness for Non-Parametric Classification: A Generic Attack and Defense☆18Nov 21, 2022Updated 3 years ago
- Mixed integer programming for computing lipschitz constants of ReLU Networks☆17Feb 10, 2023Updated 3 years ago
- Certifying Geometric Robustness of Neural Networks☆16Mar 24, 2023Updated 3 years ago
- "Parameter origami" -- folding and unfolding collections of parameters for optimization and sensitivity analysis.☆14Jan 23, 2024Updated 2 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Feb 12, 2020Updated 6 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.
- 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
- Making a bridge between NLP models and Brain data☆19Jun 3, 2020Updated 5 years ago
- code for "Semi-Discrete Normalizing Flows through Differentiable Tessellation"☆26Dec 10, 2022Updated 3 years ago
- Code for 'Periodic Activation Functions Induce Stationarity' (NeurIPS 2021)☆19Oct 27, 2021Updated 4 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
- Multiplicative Normalizing Flows in PyTorch.☆25Nov 3, 2025Updated 5 months 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
- A way to achieve uniform confidence far away from the training data.☆38Apr 16, 2021Updated 5 years ago
- Stabilizable Nonlinear Dynamics Learning☆23Oct 10, 2019Updated 6 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A certifiable defense against adversarial examples by training neural networks to be provably robust☆220Jul 25, 2024Updated last year
- Implementation of Confidence-Calibrated Adversarial Training (CCAT).☆45Aug 3, 2020Updated 5 years ago
- Code for our ICLR 2023 paper Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples.☆18May 31, 2023Updated 2 years ago
- Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)☆87Jul 19, 2020Updated 5 years ago
- Implementation of the LOSSGRAD optimization algorithm☆15Mar 21, 2019Updated 7 years ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Feb 15, 2021Updated 5 years ago
- Simple demo of logic used in https://arxiv.org/abs/1712.05304 [outdated]☆22Jun 26, 2018Updated 7 years ago