DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, outputs, weights) and to query networks for inputs fulfilling a logical formula.
☆87Jul 25, 2024Updated last year
Alternatives and similar repositories for dl2
Users that are interested in dl2 are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Learning Certified Individually Fair Representations☆24Nov 7, 2020Updated 5 years ago
- A method for training neural networks that are provably robust to adversarial attacks. [IJCAI 2019]☆10Sep 3, 2019Updated 6 years ago
- [ICLR 2020] Code for paper "Robustness Verification for Transformers"☆27Nov 26, 2024Updated last year
- A certifiable defense against adversarial examples by training neural networks to be provably robust☆220Jul 25, 2024Updated last year
- Convex Layerwise Adversarial Training (COLT)☆29Jan 13, 2021Updated 5 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- Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://g…☆30Nov 1, 2019Updated 6 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Apr 24, 2020Updated 5 years ago
- All code for the Piecewise Linear Neural Networks verification: A comparative study paper☆35Nov 7, 2018Updated 7 years ago
- miniKanren with a first-order representation of the search space☆17Mar 11, 2026Updated last week
- ETH Robustness Analyzer for Deep Neural Networks☆343Jan 27, 2023Updated 3 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆160Dec 20, 2019Updated 6 years ago
- ☆11Apr 21, 2023Updated 2 years ago
- Safety Verification of Deep Neural Networks☆50Feb 5, 2018Updated 8 years ago
- Python-based HEX implementation for a fragment of the HEX language and a subset of features.☆15Jan 4, 2022Updated 4 years ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆430Nov 22, 2022Updated 3 years ago
- Implementation of GNN ReLU branching strategies☆10Feb 13, 2021Updated 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
- ELINA: ETH LIbrary for Numerical Analysis☆137Apr 7, 2023Updated 2 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Aug 3, 2020Updated 5 years ago
- ☆12Dec 9, 2020Updated 5 years ago
- Library for training globally-robust neural networks.☆31Aug 7, 2025Updated 7 months ago
- Semantic Loss code☆63May 1, 2019Updated 6 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆69Jul 12, 2025Updated 8 months ago
- Learning to Solve SMT Formulas Fast☆90Jun 17, 2024Updated last year
- Proof-carrying code completions in Dafny☆11Apr 4, 2025Updated 11 months ago
- The Python PSDD Package☆19Jul 20, 2025Updated 8 months ago
- ☆26Feb 15, 2023Updated 3 years ago
- Counterexample-Guided Learning of Monotonic Networks☆18May 19, 2022Updated 3 years ago
- Tensorflow implementation for the Class-wise Selective Rationalization☆14Feb 15, 2023Updated 3 years ago
- ☆50Nov 11, 2023Updated 2 years ago
- A modular library for CDCL(T) SMT solvers, with [wip] proof generation.☆26Updated this week
- Library for preprocessing java source code into Augmented ASTs, as per the paper Open Vocabulary Learning on Source Code with a Graph-Str…☆21Oct 22, 2018Updated 7 years ago
- ☆12Sep 29, 2021Updated 4 years ago
- A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees☆20Dec 16, 2020Updated 5 years ago
- Certified defense to adversarial examples using CROWN and IBP. Also includes GPU implementation of CROWN verification algorithm (in PyTor…☆98Jun 7, 2021Updated 4 years ago
- ☆13Jul 24, 2021Updated 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…☆27Jun 15, 2019Updated 6 years ago
- Differentiable Clustering with Perturbed Random Forests, NeurIPS2023☆13Oct 16, 2023Updated 2 years ago
- Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]☆50Apr 25, 2020Updated 5 years ago