thu-coai / Targeted-Data-ExtractionLinks
Official Code for ACL 2023 paper: "Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation"
☆23Updated 2 years ago
Alternatives and similar repositories for Targeted-Data-Extraction
Users that are interested in Targeted-Data-Extraction are comparing it to the libraries listed below
Sorting:
- Official implementation of Privacy Implications of Retrieval-Based Language Models (EMNLP 2023). https://arxiv.org/abs/2305.14888☆36Updated last year
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆29Updated 3 years ago
- ☆44Updated 5 months ago
- ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆36Updated 5 months ago
- R-Judge: Benchmarking Safety Risk Awareness for LLM Agents (EMNLP Findings 2024)☆80Updated 2 months ago
- ☆36Updated 2 years ago
- ☆13Updated 2 years ago
- ☆21Updated 4 months ago
- ☆24Updated last year
- The dataset and code for the ICLR 2024 paper "Can LLM-Generated Misinformation Be Detected?"☆68Updated 8 months ago
- ☆26Updated last year
- RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024☆77Updated 9 months ago
- Code and data for paper "A Semantic Invariant Robust Watermark for Large Language Models" accepted by ICLR 2024.☆32Updated 8 months ago
- 🤫 Code and benchmark for our ICLR 2024 spotlight paper: "Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Con…☆42Updated last year
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆44Updated last year
- Restore safety in fine-tuned language models through task arithmetic☆28Updated last year
- ☆21Updated last year
- LLM Unlearning☆171Updated last year
- Code & Data for our Paper "Alleviating Hallucinations of Large Language Models through Induced Hallucinations"☆66Updated last year
- ☆45Updated last year
- ☆25Updated 4 years ago
- Code for the ACL-2022 paper "Knowledge Neurons in Pretrained Transformers"☆170Updated last year
- [ACL 2023] Knowledge Unlearning for Mitigating Privacy Risks in Language Models☆82Updated 10 months ago
- [NeurIPS 2023 D&B Track] Code and data for paper "Revisiting Out-of-distribution Robustness in NLP: Benchmarks, Analysis, and LLMs Evalua…☆33Updated 2 years ago
- Code for the WWW'23 paper "Sanitizing Sentence Embeddings (and Labels) for Local Differential Privacy"☆12Updated 2 years ago
- Mostly recording papers about models' trustworthy applications. Intending to include topics like model evaluation & analysis, security, c…☆21Updated 2 years ago
- [ICLR'24] RAIN: Your Language Models Can Align Themselves without Finetuning☆94Updated last year
- ☆26Updated 9 months ago
- [EMNLP 2023] Poisoning Retrieval Corpora by Injecting Adversarial Passages https://arxiv.org/abs/2310.19156☆34Updated last year
- Implementation of the paper: "Making Retrieval-Augmented Language Models Robust to Irrelevant Context"☆69Updated 11 months ago