AI-secure / VeriGaugeView external linksLinks
A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]
☆90Mar 24, 2023Updated 2 years ago
Alternatives and similar repositories for VeriGauge
Users that are interested in VeriGauge are comparing it to the libraries listed below
Sorting:
- This repo keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on …☆98Oct 18, 2022Updated 3 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
- Provable adversarial robustness at ImageNet scale☆404May 20, 2019Updated 6 years ago
- Code for paper "Poisoned classifiers are not only backdoored, they are fundamentally broken"☆26Jan 7, 2022Updated 4 years ago
- [CCS 2021] TSS: Transformation-specific smoothing for robustness certification☆26Oct 3, 2023Updated 2 years ago
- Code repository for the paper --- [USENIX Security 2023] Towards A Proactive ML Approach for Detecting Backdoor Poison Samples☆30Jul 11, 2023Updated 2 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Oct 3, 2023Updated 2 years ago
- Official repo for the paper "Make Some Noise: Reliable and Efficient Single-Step Adversarial Training" (https://arxiv.org/abs/2202.01181)☆25Oct 17, 2022Updated 3 years ago
- CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (ICML 2021)☆74Aug 5, 2021Updated 4 years ago
- ☆10Oct 31, 2022Updated 3 years ago
- Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks (IEEE S&P 2024)☆34Jun 29, 2025Updated 7 months ago
- Keeps track of popular provable training and verification approaches towards robust neural networks, including leaderboards on popular da…☆19Jun 12, 2024Updated last year
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆39Dec 13, 2018Updated 7 years ago
- ☆16Dec 7, 2021Updated 4 years ago
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆338Feb 3, 2026Updated last week
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Nov 16, 2019Updated 6 years ago
- Neural network verification in JAX☆144Aug 18, 2023Updated 2 years ago
- ☆68Sep 29, 2020Updated 5 years ago
- Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)☆27Nov 18, 2024Updated last year
- Code for the paper "Evading Black-box Classifiers Without Breaking Eggs" [SaTML 2024]☆21Apr 15, 2024Updated last year
- A modern look at the relationship between sharpness and generalization [ICML 2023]☆43Sep 11, 2023Updated 2 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
- A unified benchmark problem for data poisoning attacks☆161Oct 4, 2023Updated 2 years ago
- RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]☆768Mar 31, 2025Updated 10 months ago
- Machine Learning & Security Seminar @Purdue University☆25May 9, 2023Updated 2 years ago
- Artifact of the ICSE 2020 paper: "ReluDiff: Differential Verification of Deep Neural Networks"☆11Feb 1, 2022Updated 4 years ago
- ☆10Jun 1, 2022Updated 3 years ago
- A method for training neural networks that are provably robust to adversarial attacks. [IJCAI 2019]☆10Sep 3, 2019Updated 6 years ago
- Official Code Implementation for the CCS 2022 Paper "On the Privacy Risks of Cell-Based NAS Architectures"☆11Nov 21, 2022Updated 3 years ago
- [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers☆12Mar 29, 2022Updated 3 years ago
- Learning Security Classifiers with Verified Global Robustness Properties (CCS'21) https://arxiv.org/pdf/2105.11363.pdf☆28Dec 1, 2021Updated 4 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆42Apr 24, 2019Updated 6 years ago
- Semisupervised learning for adversarial robustness https://arxiv.org/pdf/1905.13736.pdf☆141Mar 30, 2020Updated 5 years ago
- Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs☆102Apr 2, 2021Updated 4 years ago
- This repo is the official implementation of the ICLR'23 paper "Towards Robustness Certification Against Universal Perturbations." We calc…☆12Feb 14, 2023Updated 2 years ago
- Fourth edition of VNN COMP (2023)☆16Apr 12, 2023Updated 2 years ago
- The official implementation of USENIX Security'23 paper "Meta-Sift" -- Ten minutes or less to find a 1000-size or larger clean subset on …☆20Apr 27, 2023Updated 2 years ago
- An Algorithm to Quantify Robustness of Recurrent Neural Networks☆49Apr 24, 2020Updated 5 years ago
- TrojanZoo provides a universal pytorch platform to conduct security researches (especially backdoor attacks/defenses) of image classifica…☆302Aug 25, 2025Updated 5 months ago