AlexWan0 / Poisoning-Instruction-Tuned-ModelsLinks
☆58Updated last year
Alternatives and similar repositories for Poisoning-Instruction-Tuned-Models
Users that are interested in Poisoning-Instruction-Tuned-Models are comparing it to the libraries listed below
Sorting:
- ☆60Updated 2 years ago
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆32Updated 3 years ago
- ☆48Updated 11 months ago
- Official Repository for Dataset Inference for LLMs☆43Updated last year
- ☆43Updated 2 years ago
- Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"☆110Updated 3 years ago
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆90Updated last year
- Code for paper "Universal Jailbreak Backdoors from Poisoned Human Feedback"☆66Updated last year
- Data for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder"☆20Updated 2 years ago
- ☆25Updated 4 years ago
- ☆25Updated 2 years ago
- A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)☆26Updated 4 years ago
- ☆39Updated 2 years ago
- Training data extraction on GPT-2☆195Updated 2 years ago
- ☆37Updated last year
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆108Updated last year
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆98Updated last year
- ☆13Updated 3 years ago
- Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-…☆44Updated 4 years ago
- The official repository of the paper "On the Exploitability of Instruction Tuning".☆68Updated last year
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆60Updated 4 months ago
- TACL 2025: Investigating Adversarial Trigger Transfer in Large Language Models☆19Updated 5 months ago
- Mostly recording papers about models' trustworthy applications. Intending to include topics like model evaluation & analysis, security, c…☆21Updated 2 years ago
- [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models☆86Updated last year
- Code for the paper "RAP: Robustness-Aware Perturbations for Defending against Backdoor Attacks on NLP Models" (EMNLP 2021)☆25Updated 4 years ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆123Updated 10 months ago
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆46Updated last year
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆92Updated 8 months ago
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆70Updated last year
- Official repository for "PostMark: A Robust Blackbox Watermark for Large Language Models"☆27Updated last year