[ICLR 2020] Code for paper "Robustness Verification for Transformers"
☆26Nov 26, 2024Updated last year
Alternatives and similar repositories for Robustness-Verification-for-Transformers
Users that are interested in Robustness-Verification-for-Transformers are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- SAFER: A Structure-free Approach For cErtified Robustness to Adversarial Word Substitutions (ACL 2020)☆31Jan 27, 2021Updated 5 years ago
- ☆25May 6, 2021Updated 5 years ago
- This repository contains a simple implementation of Interval Bound Propagation (IBP) using TensorFlow: https://arxiv.org/abs/1810.12715☆162Dec 20, 2019Updated 6 years ago
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆346Jun 11, 2026Updated last week
- The library for symbolic interval☆23Jun 23, 2020Updated 5 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.
- ACL 2021 - Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble☆17Jun 12, 2023Updated 3 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
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆41Apr 24, 2019Updated 7 years ago
- OVAL framework for BaB-based Neural Network Verification☆18May 8, 2026Updated last month
- "Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers" (NeurIPS 2019, previously called "A Stratified Approach …☆17Nov 16, 2019Updated 6 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆39Dec 13, 2018Updated 7 years ago
- Realizing private and practical pharmacological collaboration☆15Oct 19, 2018Updated 7 years ago
- Adversarial examples for Seq2Seq model in NLP☆40Nov 3, 2018Updated 7 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
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Oct 8, 2020Updated 5 years ago
- Certifying Geometric Robustness of Neural Networks☆16Mar 24, 2023Updated 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 5 years ago
- All code for the Piecewise Linear Neural Networks verification: A comparative study paper☆35Nov 7, 2018Updated 7 years ago
- ☆42Jan 16, 2026Updated 5 months ago
- Sherlock is a tool for output range anaylsis of Deep Neural Networks with ReLU activation units.☆30Apr 14, 2020Updated 6 years ago
- Attack AlphaZero Go agents (NeurIPS 2022)☆22Dec 3, 2022Updated 3 years ago
- For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]☆17Oct 8, 2024Updated last year
- ☆10Apr 21, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- codes for paper "learning to discriminate perturbations for blocking adversarial attacks in text classification" in EMNLP19☆15Feb 25, 2020Updated 6 years ago
- White-box Fairness Testing through Adversarial Sampling☆14Apr 16, 2021Updated 5 years ago
- Dataset accompanying the paper "Adaptive Methods for Real-World Domain Generalization"☆16Aug 17, 2023Updated 2 years ago
- Fork of Microsoft/LightGBM to include support for the CEGB (Cost Efficient Gradient Boosting) algorithm. Original repository at https://g…☆13Jun 30, 2017Updated 8 years ago
- Robustify Black-Box Models (ICLR'22 - Spotlight)☆23Jan 29, 2023Updated 3 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆69Jul 12, 2025Updated 11 months ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Feb 12, 2020Updated 6 years ago
- ☆20Aug 26, 2021Updated 4 years ago
- A certifiable defense against adversarial examples by training neural networks to be provably robust☆220Jul 25, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- The implementations of Graph Convolutional Neural Network models☆12Aug 8, 2020Updated 5 years ago
- [ICSE 2023] Differentiable interpretation and failure-inducing input generation for neural network numerical bugs.☆13Jan 5, 2024Updated 2 years ago
- Adversarial Training for Natural Language Understanding☆252Sep 6, 2023Updated 2 years ago
- [ICML 2022] "Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness" by Tianlong Chen*, Huan Zhang*, Zhenyu Zhang, Shiyu…☆16Jun 22, 2022Updated 3 years ago
- A united toolbox for running major robustness verification approaches for DNNs. [S&P 2023]☆90Mar 24, 2023Updated 3 years ago
- Implementation code for the paper "Generating Natural Language Adversarial Examples"☆171Aug 30, 2019Updated 6 years ago
- RAB: Provable Robustness Against Backdoor Attacks☆39Oct 3, 2023Updated 2 years ago