lancopku / RAP

Related projects: ⓘ

• lancopku / SOS
  Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)
  ☆21Updated 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-…
  ☆34Updated 3 years ago
• thunlp / NeuBA
  ☆22Updated 3 years ago
• ShannonAI / backdoor_nlg
  ☆13Updated 3 years ago
• thunlp / HiddenKiller
  Code and data of the ACL-IJCNLP 2021 paper "Hidden Killer: Invisible Textual Backdoor Attacks with Syntactic Trigger"
  ☆37Updated 2 years ago
• leix28 / prompt-universal-vulnerability
  Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022
  ☆26Updated 2 years ago
• thunlp / ONION
  Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"
  ☆28Updated 2 years ago
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆32Updated 2 months ago
• alvinchangw / CARA_EMNLP2020
  Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)
  ☆15Updated 3 years ago
• PurduePAML / PICCOLO
  ☆23Updated last year
• 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 last year
• dugu9sword / dne
  ACL 2021 - Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble
  ☆15Updated last year
• thunlp / BkdAtk-LWS
  Code and data of the ACL 2021 paper "Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution"
  ☆15Updated 3 years ago
• lancopku / agent-backdoor-attacks
  Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents"
  ☆29Updated 3 months ago
• zjiehang / RanMASK
  For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
  ☆15Updated 2 years ago
• JHL-HUST / FGPM
  Adversarial Training with Fast Gradient Projection Method against Synonym Substitution based Text Attacks
  ☆23Updated 3 years ago
• Hsuan-Tung / universal_attack_natural_trigger
  Natural Universal Trigger Search (NUTS)
  ☆21Updated 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
• RockyLzy / TextDefender
  codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"
  ☆30Updated 10 months ago
• RishabhMaheshwary / hard-label-attack
  Natural Language Attacks in a Hard Label Black Box Setting.
  ☆40Updated 3 years ago
• lishaofeng / NLP_Backdoor
  Hidden backdoor attack on NLP systems
  ☆45Updated 2 years ago
• leileigan / clean_label_textual_backdoor_attack
  ☆16Updated 2 years ago
• alps-lab / trojan-lm
  TrojanLM: Trojaning Language Models for Fun and Profit
  ☆15Updated 3 years ago
• xlhex / cater_neurips
  ☆6Updated 2 years ago
• XuandongZhao / DRW
  [EMNLP 2022] Distillation-Resistant Watermarking (DRW) for Model Protection in NLP
  ☆12Updated last year
• HKUST-KnowComp / LLM-Multistep-Jailbreak
  Code for Findings-EMNLP 2023 paper: Multi-step Jailbreaking Privacy Attacks on ChatGPT
  ☆20Updated 11 months ago
• mireshghallah / neighborhood-curvature-mia
  ☆19Updated last year
• JHL-HUST / PWWS
  Generating Natural Language Adversarial Examples through Probability Weighted Word Saliency
  ☆66Updated last year
• tianshuocong / TePA
  [S&P'24] Test-Time Poisoning Attacks Against Test-Time Adaptation Models
  ☆14Updated 7 months ago
• alphadl / SafeLLM_with_IntentionAnalysis
  Towards Safe LLM with our simple-yet-highly-effective Intention Analysis Prompting
  ☆10Updated 5 months ago