[ICLR 2020] Code for paper "Robustness Verification for Transformers"
☆27Nov 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
Sorting:
- Official repository for Jia, Raghunathan, Göksel, and Liang, "Certified Robustness to Adversarial Word Substitutions" (EMNLP 2019)☆38Dec 30, 2019Updated 6 years ago
- ☆25May 6, 2021Updated 4 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
- The library for symbolic interval☆22Jun 23, 2020Updated 5 years ago
- auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs☆338Feb 3, 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
- This is the code of our work CISS Certified Robustness Against Natural Language Attacks by Causal Intervention published on ICML 2022☆11Dec 6, 2022Updated 3 years ago
- Code of On L-p Robustness of Decision Stumps and Trees, ICML 2020☆10Aug 3, 2020Updated 5 years ago
- [NeurIPS 2021] Fast Certified Robust Training with Short Warmup☆25Jun 7, 2025Updated 9 months 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
- codes for paper "learning to discriminate perturbations for blocking adversarial attacks in text classification" in EMNLP19☆15Feb 25, 2020Updated 6 years ago
- OVAL framework for BaB-based Neural Network Verification☆17Dec 18, 2025Updated 2 months ago
- Neural Network Enumeration Tool☆34Jan 8, 2026Updated last month
- All code for the Piecewise Linear Neural Networks verification: A comparative study paper☆35Nov 7, 2018Updated 7 years ago
- Dataset accompanying the paper "Adaptive Methods for Real-World Domain Generalization"☆16Aug 17, 2023Updated 2 years ago
- ☆18Aug 15, 2022Updated 3 years ago
- CROWN: A Neural Network Verification Framework for Networks with General Activation Functions☆39Dec 13, 2018Updated 7 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
- Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)☆15Oct 8, 2020Updated 5 years ago
- For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]☆17Oct 8, 2024Updated last year
- Adversarial examples for Seq2Seq model in NLP☆40Nov 3, 2018Updated 7 years ago
- Benchmark for LP-relaxed robustness verification of ReLU-networks☆42Apr 24, 2019Updated 6 years ago
- ☆35Jan 16, 2026Updated last month
- Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)☆24Dec 9, 2021Updated 4 years ago
- Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)☆25Oct 21, 2021Updated 4 years ago
- Attack AlphaZero Go agents (NeurIPS 2022)☆22Dec 3, 2022Updated 3 years ago
- ☆26Dec 1, 2022Updated 3 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
- ☆25Nov 21, 2020Updated 5 years ago
- Reference implementations for RecurJac, CROWN, FastLin and FastLip (Neural Network verification and robustness certification algorithms)…☆27Nov 23, 2019Updated 6 years ago
- EMNLP BlackBox NLP 2020: Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples☆26Oct 11, 2020Updated 5 years ago
- Source code for the paper "Exploiting Excessive Invariance caused by Norm-Bounded Adversarial Robustness"☆25Feb 12, 2020Updated 6 years ago
- codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"☆31Oct 27, 2023Updated 2 years ago
- Neural Network Verification Software Tool☆139Jan 22, 2026Updated last month
- A certifiable defense against adversarial examples by training neural networks to be provably robust☆221Jul 25, 2024Updated last year
- Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency☆73Mar 24, 2023Updated 2 years ago
- [ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples☆69Jul 12, 2025Updated 7 months ago
- ☆10Dec 21, 2022Updated 3 years ago
- Text-CRS: A Generalized Certified Robustness Framework against Textual Adversarial Attacks (IEEE S&P 2024)☆34Jun 29, 2025Updated 8 months ago