QData / deepWordBug
CodeBase for Paper: "Black-box Generation of Adversarial Text Sequences to Evade Deep Learning Classifiers", / Interactive Demo @
☆75Updated last year
Alternatives and similar repositories for deepWordBug:
Users that are interested in deepWordBug are comparing it to the libraries listed below
- Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)☆140Updated 3 years ago
- Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT☆189Updated 4 years ago
- Implementation code for the paper "Generating Natural Language Adversarial Examples"☆168Updated 5 years ago
- Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency☆68Updated last year
- Natural Language Attacks in a Hard Label Black Box Setting.☆46Updated 3 years ago
- Adversarial examples for Seq2Seq model in NLP☆40Updated 6 years ago
- Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)☆296Updated 5 months ago
- Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"☆86Updated 3 years ago
- codes for paper "learning to discriminate perturbations for blocking adversarial attacks in text classification" in EMNLP19☆15Updated 4 years ago
- ☆62Updated 2 years ago
- Library and experiments for attacking machine learning in discrete domains☆45Updated 2 years ago
- Bad Characters: Imperceptible NLP Attacks☆34Updated 9 months ago
- Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples☆34Updated 5 years ago
- Generating Natural Adversarial Examples, ICLR 2018☆143Updated 6 years ago
- Concealed Data Poisoning Attacks on NLP Models☆21Updated last year
- to add☆20Updated 5 years ago
- ☆28Updated 4 years ago
- Natural Universal Trigger Search (NUTS)☆21Updated 3 years ago
- Generate adversarial text via gradient methods☆31Updated 5 years ago
- Contextualized Perturbation for Textual Adversarial Attack, NAACL 2021☆43Updated 3 years ago
- A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)☆26Updated 3 years ago
- A Model for Natural Language Attack on Text Classification and Inference☆498Updated 2 years ago
- Official repository for Jia, Raghunathan, Göksel, and Liang, "Certified Robustness to Adversarial Word Substitutions" (EMNLP 2019)☆39Updated 5 years ago
- Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"☆42Updated 2 years ago
- Implementation of membership inference and model inversion attacks, extracting training data information from an ML model. Benchmarking …☆101Updated 5 years ago
- SAFER: A Structure-free Approach For cErtified Robustness to Adversarial Word Substitutions (ACL 2020)☆28Updated 3 years ago
- A Query Efficient Natural Language Attack in a Black Box Setting☆16Updated 3 years ago
- ☆140Updated 3 months ago
- Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"☆36Updated 4 years ago
- This project proposed a method to defense against adversarial attack. By combining the proposed preprocessing method with an adversariall…☆10Updated 6 years ago