ETH Robustness Analyzer for Deep Neural Networks
☆343Jan 27, 2023Updated 3 years ago
Alternatives and similar repositories for eran
Users that are interested in eran are comparing it to the libraries listed below
Sorting:
- A certifiable defense against adversarial examples by training neural networks to be provably robust☆221Jul 25, 2024Updated last year
- ☆312Nov 2, 2025Updated 4 months ago
- The released code of Neurify in NIPS 2018☆50Dec 8, 2022Updated 3 years ago
- ELINA: ETH LIbrary for Numerical Analysis☆136Apr 7, 2023Updated 2 years ago
- Neural Network Verification Software Tool☆139Jan 22, 2026Updated last month
- ☆101Jul 8, 2020Updated 5 years ago
- Neural Network Enumeration Tool☆34Jan 8, 2026Updated last month
- Certifying Geometric Robustness of Neural Networks☆16Mar 24, 2023Updated 2 years ago
- alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, 2024, 2025)☆348Jan 17, 2026Updated last month
- A Framework for Deep Neural Network Verification☆57Dec 14, 2024Updated last year
- Safety Verification of Deep Neural Networks☆50Feb 5, 2018Updated 8 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆161Dec 20, 2019Updated 6 years ago
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆338Feb 3, 2026Updated last month
- Documentation and scripts related to the .nnet file format. This file format specifies a simple text file to define feed-forward, fully-c…☆40Mar 24, 2025Updated 11 months ago
- ☆14Mar 25, 2023Updated 2 years ago
- VNN Neural Network Verification Competition 2021☆36Jul 17, 2021Updated 4 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
- A method for training neural networks that are provably robust to adversarial attacks. [IJCAI 2019]☆10Sep 3, 2019Updated 6 years ago
- The released code of ReluVal in USENIX Security 2018☆60Mar 4, 2020Updated 6 years ago
- Concolic Testing for Deep Neural Networks☆119Jul 16, 2021Updated 4 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆42Apr 24, 2019Updated 6 years ago
- DL2 is a framework that allows training neural networks with logical constraints over numerical values in the network (e.g. inputs, out…☆87Jul 25, 2024Updated last year
- ☆24Oct 31, 2021Updated 4 years ago
- Reachability Analysis of Deep Neural Networks with Provable Guarantees☆36Feb 25, 2020Updated 6 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆27Nov 23, 2019Updated 6 years ago
- Fourth edition of VNN COMP (2023)☆16Apr 12, 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
- SyReNN: Symbolic Representations for Neural Networks☆41Mar 20, 2023Updated 2 years ago
- The library for symbolic interval☆22Jun 23, 2020Updated 5 years ago
- A method for training neural networks that are provably robust to adversarial attacks.☆391Feb 16, 2022Updated 4 years ago
- VerifAI is a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learnin…☆209Jan 19, 2026Updated last month
- Benchmarks for the VNN Comp 2023☆16Jun 7, 2024Updated last year
- Provable adversarial robustness at ImageNet scale☆406May 20, 2019Updated 6 years ago
- Codes for reproducing the experimental results in "CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Net…☆27Jun 23, 2021Updated 4 years ago
- Evaluating Robustness of Neural Networks with Mixed Integer Programming☆117Updated this week
- All code for the Piecewise Linear Neural Networks verification: A comparative study paper☆35Nov 7, 2018Updated 7 years ago
- Venus is a state-of-the-art sound and complete verification toolkit for Relu-based feed-forward neural networks. It can be used to check…☆15Aug 31, 2022Updated 3 years ago
- This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Ar…☆25Dec 17, 2020Updated 5 years ago
- Sherlock is a tool for output range anaylsis of Deep Neural Networks with ReLU activation units.☆30Apr 14, 2020Updated 5 years ago