RishabhMaheshwary / query-attack

Related projects ⓘ

Alternatives and complementary repositories for query-attack

• AI-secure / SemAttack
  [NAACL 2022] "SemAttack: Natural Textual Attacks via Different Semantic Spaces" by Boxin Wang, Chejian Xu, Xiangyu Liu, Yu Cheng, Bo Li
  ☆19Updated 2 years ago
• thunlp / SememePSO-Attack
  Code and data of the ACL 2020 paper "Word-level Textual Adversarial Attacking as Combinatorial Optimization"
  ☆85Updated 3 years ago
• JHL-HUST / PWWS
  Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
  ☆68Updated last year
• danishpruthi / Adversarial-Misspellings
  ☆62Updated 2 years ago
• JHL-HUST / FGPM
  Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks
  ☆24Updated 3 years ago
• lushleaf / Structure-free-certified-NLP
  SAFER: A Structure-free Approach For cErtified Robustness to Adversarial Word Substitutions (ACL 2020)
  ☆27Updated 3 years ago
• LinyangLee / BERT-Attack
  Code for EMNLP2020 long paper: BERT-Attack: Adversarial Attack Against BERT Using BERT
  ☆188Updated 4 years ago
• 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
• cookielee77 / CLARE
  Contextualized Perturbation for Textual Adversarial Attack, NAACL 2021
  ☆43Updated 3 years ago
• RishabhMaheshwary / hard-label-attack
  Natural Language Attacks in a Hard Label Black Box Setting.
  ☆43Updated 3 years ago
• Hsuan-Tung / universal_attack_natural_trigger
  Natural Universal Trigger Search (NUTS)
  ☆21Updated 3 years ago
• dongxinshuai / ASCC
  ☆23Updated 3 years ago
• csong27 / collision-bert
  ☆28Updated 4 years ago
• joey1993 / bert-defender
  codes for paper "learning to discriminate perturbations for blocking adversarial attacks in text classification" in EMNLP19
  ☆15Updated 4 years ago
• zjiehang / RanMASK
  For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
  ☆15Updated last month
• 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
• LilyNLP / ADFAR
  ☆9Updated 3 years ago
• dugu9sword / dne
  ACL 2021 - Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble
  ☆15Updated last year
• QData / TextAttack-A2T
  A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)
  ☆24Updated 3 years ago
• AnyiRao / WordAdver
  Code for ACL2018 HotFlip: White-Box Adversarial Examples for Text Classification, Word-level Adversarial Examples
  ☆33Updated 5 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"
  ☆41Updated 2 years ago
• cecilialeiqi / adversarial_text
  to add
  ☆20Updated 5 years ago
• robinjia / certified-word-sub
  Official repository for Jia, Raghunathan, Göksel, and Liang, "Certified Robustness to Adversarial Word Substitutions" (EMNLP 2019)
  ☆39Updated 4 years ago
• thunlp / ONION
  Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"
  ☆29Updated 3 years ago
• RockyLzy / TextDefender
  codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"
  ☆31Updated last year
• Yangyi-Chen / MAYA
  Code base for the EMNLP 2021 paper, "Multi-granularity Textual Adversarial Attack with Behavior Cloning".
  ☆13Updated 2 years ago
• lancopku / Embedding-Poisoning
  Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-…
  ☆37Updated 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
  ☆27Updated 2 years ago
• thunlp / NeuBA
  ☆23Updated 3 years ago
• neulab / RIPPLe
  Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)
  ☆138Updated 3 years ago