Alternatives and similar repositories for SelfDenoise:

Users that are interested in SelfDenoise are comparing it to the libraries listed below

• THU-BPM / Robust_Watermark
  Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.
  ☆27Updated 4 months ago
• ChengshuaiZhao0 / The-Wolf-Within
  ☆10Updated last month
• BrachioLab / adversarial_prompting
  ☆53Updated last year
• mireshghallah / neighborhood-curvature-mia
  ☆21Updated last year
• papersPapers / BadPrompt
  Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"
  ☆36Updated 8 months 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
• YitingQu / unsafe-diffusion
  ☆31Updated 8 months ago
• ethz-spylab / rlhf-poisoning
  Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"
  ☆48Updated 11 months ago
• princeton-nlp / benign-data-breaks-safety
  ☆34Updated 5 months ago
• sophie-xhonneux / Continuous-AdvTrain
  ☆15Updated 7 months ago
• alvinchangw / CARA_EMNLP2020
  Implementation for Poison Attacks against Text Datasets with Conditional Adversarially Regularized Autoencoder (EMNLP-Findings 2020)
  ☆15Updated 4 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
• chenchenygu / watermark-learnability
  ☆24Updated last month
• lancopku / Embedding-Poisoning
  Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-…
  ☆40Updated 3 years ago
• lancopku / SOS
  Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)
  ☆23Updated 3 years ago
• NYU-DICE-Lab / circumventing-concept-erasure
  ☆19Updated last year
• Vaidehi99 / InfoDeletionAttacks
  ☆42Updated last month
• weichen-yu / LM-Extraction
  ☆42Updated last year
• AISafety-HKUST / Backdoor_Safety_Tuning
  Backdoor Safety Tuning (NeurIPS 2023 & 2024 Spotlight)
  ☆25Updated 4 months ago
• eth-sri / smoothing-ensembles
  [ICLR 2022] Boosting Randomized Smoothing with Variance Reduced Classifiers
  ☆12Updated 3 years ago
• PKU-ML / DYNACL
  [ICLR 2023] Official repository of the paper "Rethinking the Effect of Data Augmentation in Adversarial Contrastive Learning"
  ☆18Updated 2 years ago
• MartinPawel / In-Context-Unlearning
  "In-Context Unlearning: Language Models as Few Shot Unlearners". Martin Pawelczyk, Seth Neel* and Himabindu Lakkaraju*; ICML 2024.
  ☆24Updated last year
• dugu9sword / dne
  ACL 2021 - Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble
  ☆17Updated last year
• 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
• McGill-NLP / AdversarialTriggers
  Code for "Universal Adversarial Triggers Are Not Universal."
  ☆16Updated 10 months ago
• yjw1029 / Self-Reminder-Data
  Data for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder"
  ☆18Updated last year
• pipilurj / MLLM-protector
  The official repository for paper "MLLM-Protector: Ensuring MLLM’s Safety without Hurting Performance"
  ☆35Updated 11 months ago
• zjiehang / RanMASK
  For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]
  ☆15Updated 5 months ago
• haonan3 / ICML-2024-Oral-SilentBadDiffusion
  ☆12Updated 4 months ago
• AI45Lab / CodeAttack
  [ACL 2024] CodeAttack: Revealing Safety Generalization Challenges of Large Language Models via Code Completion
  ☆36Updated 5 months ago