Alternatives and similar repositories for Flooding-X:

Users that are interested in Flooding-X are comparing it to the libraries listed below

• RockyLzy / TextDefender
  codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"
  ☆31Updated last year
• zjiehang / RanMASK
  For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
  ☆15Updated 3 months ago
• dugu9sword / dne
  ACL 2021 - Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble
  ☆16Updated last year
• minicheshire / Robust-Prefix-Tuning
  code for the ICLR'22 paper: On Robust Prefix-Tuning for Text Classification
  ☆27Updated 2 years ago
• thunlp / NeuBA
  ☆24Updated 3 years ago
• JHL-HUST / FGPM
  Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks
  ☆24Updated 4 years ago
• Hsuan-Tung / universal_attack_natural_trigger
  Natural Universal Trigger Search (NUTS)
  ☆21Updated 3 years ago
• Vaidehi99 / InfoDeletionAttacks
  ☆40Updated last year
• 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
• dongxinshuai / ASCC
  ☆24Updated 3 years ago
• declare-lab / resta
  Restore safety in fine-tuned language models through task arithmetic
  ☆26Updated 10 months ago
• lancopku / Avg-Avg
  [Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection
  ☆18Updated last year
• TaoYang225 / AD-DROP
  Source code of NeurIPS 2022 accepted paper "AD-DROP: Attribution-Driven Dropout for Robust Language Model Fine-Tuning"
  ☆23Updated 2 years ago
• Princeton-SysML / kNNLM_privacy
  Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888
  ☆35Updated 7 months 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-…
  ☆39Updated 3 years ago
• ShannonAI / backdoor_nlg
  ☆14Updated 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
• pratyushmaini / llm_dataset_inference
  Official Repository for Dataset Inference for LLMs
  ☆28Updated 6 months ago
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆36Updated 6 months ago
• lancopku / SOS
  Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)
  ☆22Updated 3 years ago
• adymaharana / d2pruning
  ☆31Updated last year
• thunlp / ONION
  Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"
  ☆32Updated 3 years ago
• UCSB-NLP-Chang / SelfDenoise
  ☆13Updated 8 months ago
• anshuman23 / InfDataSel
  Code for paper: “What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selecti…
  ☆22Updated 8 months ago
• thunlp / BkdAtk-LWS
  Code and data of the ACL 2021 paper "Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution"
  ☆16Updated 3 years ago
• thunlp / Advbench
  Code and data of the EMNLP 2022 paper "Why Should Adversarial Perturbations be Imperceptible? Rethink the Research Paradigm in Adversaria…
  ☆41Updated last year
• ruizheng20 / robust_ticket
  Code of Robust Lottery Tickets for Pre-trained Language Models (ACL2022)
  ☆20Updated 2 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
• leileigan / clean_label_textual_backdoor_attack
  ☆16Updated 2 years ago
• franciscoliu / SKU
  Official code implementation of SKU, Accepted by ACL 2024 Findings
  ☆13Updated last month