Alternatives and similar repositories for TextAttack-A2T:

Users that are interested in TextAttack-A2T are comparing it to the libraries listed below

• AI-secure / T3
  [EMNLP 2020] "T3: Tree-Autoencoder Constrained Adversarial Text Generation for Targeted Attack" by Boxin Wang, Hengzhi Pei, Boyuan Pan, Q…
  ☆26Updated 3 years ago
• Hsuan-Tung / universal_attack_natural_trigger
  Natural Universal Trigger Search (NUTS)
  ☆21Updated 4 years ago
• JHL-HUST / PWWS
  Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
  ☆69Updated 2 years ago
• QData / TextAttack-Search-Benchmark
  EMNLP BlackBox NLP 2020: Searching for a Search Method: Benchmarking Search Algorithms for Generating NLP Adversarial Examples
  ☆23Updated 4 years ago
• cookielee77 / CLARE
  Contextualized Perturbation for Textual Adversarial Attack, NAACL 2021
  ☆43Updated 3 years ago
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆29Updated 2 years ago
• dongxinshuai / ASCC
  ☆24Updated 4 years ago
• AI-secure / InfoBERT
  [ICLR 2021] "InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective" by Boxin Wang, Shuohang Wang, Y…
  ☆85Updated last year
• thunlp / ONION
  Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"
  ☆33Updated 3 years ago
• yanaiela / pararel
  ☆44Updated last year
• zjiehang / RanMASK
  For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
  ☆16Updated 7 months ago
• UVa-NLP / VMASK
  Code for the paper "Learning Variational Word Masks to Improve the Interpretability of Neural Text Classifiers"
  ☆17Updated 4 years ago
• anyirao / WordAdver
  Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples
  ☆35Updated 6 years ago
• RockyLzy / TextDefender
  codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"
  ☆31Updated last year
• SALT-NLP / mic
  Data and code for the paper "The Moral Integrity Corpus: A Benchmark for Ethical Dialogue Systems"
  ☆19Updated last year
• McGill-NLP / AdversarialTriggers
  Code for "Universal Adversarial Triggers Are Not Universal."
  ☆17Updated last year
• mireshghallah / mixmatch
  Repository for ACL 2022 paper Mix and Match: Learning-free Controllable Text Generation using Energy Language Models
  ☆42Updated 3 years ago
• csong27 / collision-bert
  ☆27Updated 4 years ago
• camelop / NLP-Robustness
  OOD Generalization and Detection (ACL 2020)
  ☆60Updated 5 years ago
• successar / instance_attributions_NLP
  ☆17Updated 4 years ago
• thunlp / StyleAttack
  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
• neulab / RIPPLe
  Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)
  ☆141Updated 3 years ago
• UKPLab / emnlp2020-debiasing-unknown
  ☆26Updated 4 years ago
• lancopku / RAP
  Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)
  ☆24Updated 3 years ago
• thunlp / NeuBA
  ☆25Updated 3 years ago
• lushleaf / Structure-free-certified-NLP
  SAFER: A Structure-free Approach For cErtified Robustness to Adversarial Word Substitutions (ACL 2020)
  ☆31Updated 4 years ago
• princeton-nlp / MABEL
  EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975
  ☆37Updated last year
• robinjia / certified-word-sub
  Official repository for Jia, Raghunathan, Göksel, and Liang, "Certified Robustness to Adversarial Word Substitutions" (EMNLP 2019)
  ☆38Updated 5 years ago
• princeton-nlp / rationale-robustness
  NAACL 2022: Can Rationalization Improve Robustness? https://arxiv.org/abs/2204.11790
  ☆27Updated 2 years ago
• Eric-Wallace / adversarial-mt
  Code for "Imitation Attacks and Defenses for Black-box Machine Translations Systems"
  ☆36Updated 5 years ago