shizhouxing / LLM-Detector-RobustnessLinks
[TACL] Code for "Red Teaming Language Model Detectors with Language Models"
☆23Updated last year
Alternatives and similar repositories for LLM-Detector-Robustness
Users that are interested in LLM-Detector-Robustness are comparing it to the libraries listed below
Sorting:
- The official repository of the paper "On the Exploitability of Instruction Tuning".☆64Updated last year
- The dataset and code for the ICLR 2024 paper "Can LLM-Generated Misinformation Be Detected?"☆76Updated 10 months ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆97Updated last year
- ☆45Updated 7 months ago
- NeurIPS'24 - LLM Safety Landscape☆29Updated 7 months ago
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆85Updated 4 months ago
- ☆43Updated 2 years ago
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆105Updated last year
- ICLR2024 Paper. Showing properties of safety tuning and exaggerated safety.☆87Updated last year
- WMDP is a LLM proxy benchmark for hazardous knowledge in bio, cyber, and chemical security. We also release code for RMU, an unlearning m…☆140Updated 3 months ago
- [ICLR 2024]Data for "Multilingual Jailbreak Challenges in Large Language Models"☆83Updated last year
- [EMNLP 2025 Main] ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆35Updated last month
- Data for our paper "Defending ChatGPT against Jailbreak Attack via Self-Reminder"☆20Updated last year
- DetectLLM: Leveraging Log Rank Information for Zero-Shot Detection of Machine-Generated Text☆30Updated 2 years ago
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆70Updated last year
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆30Updated 3 years ago
- ☆39Updated 2 years ago
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆44Updated last year
- Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique☆18Updated last year
- ☆23Updated 11 months ago
- Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"☆112Updated 7 months ago
- ☆46Updated 6 months ago
- ☆23Updated 8 months ago
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- [ICLR 2024] Unveiling the Pitfalls of Knowledge Editing for Large Language Models☆22Updated last year
- ☆31Updated 2 years ago
- Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks☆31Updated last year
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆36Updated last year
- Official repository for ICML 2024 paper "On Prompt-Driven Safeguarding for Large Language Models"☆96Updated 4 months ago
- [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"☆60Updated 11 months ago