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
Sorting:
- Learning Certified Individually Fair Representations☆24Nov 7, 2020Updated 5 years ago
- A certifiable defense against adversarial examples by training neural networks to be provably robust☆221Jul 25, 2024Updated last year
- 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
- ETH Robustness Analyzer for Deep Neural Networks☆343Jan 27, 2023Updated 3 years ago
- Tensorflow implementation for the Class-wise Selective Rationalization☆15Feb 15, 2023Updated 3 years ago
- Implementation of GNN ReLU branching strategies☆10Feb 13, 2021Updated 5 years ago
- Safety Verification of Deep Neural Networks☆50Feb 5, 2018Updated 8 years ago
- miniKanren with a first-order representation of the search space☆17Jul 23, 2024Updated last year
- Semantic Loss code☆62May 1, 2019Updated 6 years ago
- Bridging deep learning and logical reasoning using a differentiable satisfiability solver.☆427Nov 22, 2022Updated 3 years ago
- ☆19Nov 11, 2019Updated 6 years ago
- A Game-Based Approximate Verification of Deep Neural Networks with Provable Guarantees☆20Dec 16, 2020Updated 5 years ago
- Certifying Geometric Robustness of Neural Networks☆16Mar 24, 2023Updated 2 years ago
- Convex Layerwise Adversarial Training (COLT)☆29Jan 13, 2021Updated 5 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Apr 24, 2020Updated 5 years ago
- ELINA: ETH LIbrary for Numerical Analysis☆136Apr 7, 2023Updated 2 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- Efficient Robustness Verification for ReLU networks (this repository is outdated, don't use; checkout our new implementation at https://g…☆30Nov 1, 2019Updated 6 years ago
- The Python PSDD Package☆19Jul 20, 2025Updated 7 months ago
- A modular library for CDCL(T) SMT solvers, with [wip] proof generation.☆26Feb 8, 2026Updated 3 weeks ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆69Jul 12, 2025Updated 7 months ago
- ☆101Jul 8, 2020Updated 5 years ago
- Learning to Solve SMT Formulas Fast☆90Jun 17, 2024Updated last year
- This github repository hosts the code used within my thesis work and my last publication.☆12Jul 20, 2017Updated 8 years ago
- Proof-carrying code completions in Dafny☆11Apr 4, 2025Updated 10 months ago
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Nov 16, 2019Updated 6 years ago
- SyReNN: Symbolic Representations for Neural Networks☆41Mar 20, 2023Updated 2 years ago
- ☆10May 24, 2021Updated 4 years ago
- ☆11Oct 21, 2023Updated 2 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Aug 3, 2020Updated 5 years ago
- Experiments with modal types☆17Oct 20, 2020Updated 5 years ago
- Difflog: Synthesizing Datalog Programs using Numerical Relaxation☆12Sep 26, 2019Updated 6 years ago
- Codebase for Neuro-Symbolic Continual Learning.☆27Aug 21, 2023Updated 2 years ago
- Files for the tutorial "Correct-by-construction programming in Agda" at POPL '19 in Cascais☆26Jan 14, 2019Updated 7 years ago
- LFSC Proof Checker☆11Sep 14, 2023Updated 2 years ago
- ☆13Jul 24, 2021Updated 4 years ago
- An ocaml implementation of conflict-driven reasoning☆14Jul 13, 2018Updated 7 years ago
- ☆11Sep 29, 2021Updated 4 years ago
- Library for training globally-robust neural networks.☆31Aug 7, 2025Updated 6 months ago