thu-coai / Targeted-Data-Extraction
Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation"
☆22Updated last year
Alternatives and similar repositories for Targeted-Data-Extraction:
Users that are interested in Targeted-Data-Extraction are comparing it to the libraries listed below
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆29Updated 2 years ago
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆35Updated 8 months ago
- ☆24Updated 3 years ago
- ☆41Updated last week
- 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
- Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"☆32Updated 3 years ago
- ☆37Updated last year
- [ACL2024-Main] Data and Code for WaterBench: Towards Holistic Evaluation of LLM Watermarks☆22Updated last year
- ☆28Updated 8 months ago
- Code for the paper "BadPrompt: Backdoor Attacks on Continuous Prompts"☆36Updated 7 months ago
- ☆21Updated last year
- [TACL] Code for "Red Teaming Language Model Detectors with Language Models"☆19Updated last year
- Code and data of the EMNLP 2021 paper "Mind the Style of Text! Adversarial and Backdoor Attacks Based on Text Style Transfer"☆42Updated 2 years ago
- ACL 2021 - Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble☆17Updated last year
- Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.☆27Updated 3 months ago
- Code for Findings-EMNLP 2023 paper: Multi-step Jailbreaking Privacy Attacks on ChatGPT☆30Updated last year
- A lightweight library for large laguage model (LLM) jailbreaking defense.☆47Updated 4 months ago
- Unofficial implementation of "Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection"☆16Updated 7 months ago
- The dataset and code for the ICLR 2024 paper "Can LLM-Generated Misinformation Be Detected?"☆54Updated 3 months ago
- ☆23Updated last year
- ☆25Updated 4 months ago
- [NeurIPS 2024 D&B] Evaluating Copyright Takedown Methods for Language Models☆17Updated 7 months ago
- Code&Data for the paper "Watch Out for Your Agents! Investigating Backdoor Threats to LLM-Based Agents" [NeurIPS 2024]☆60Updated 4 months ago
- ☆20Updated 7 months ago
- ☆45Updated 7 months ago
- ☆24Updated last year
- Official Repository for Dataset Inference for LLMs☆31Updated 6 months ago
- For Certified Robustness to Text Adversarial Attacks by Randomized [MASK]☆15Updated 4 months ago
- [ACL 2024] Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization☆19Updated 7 months ago