ftramer / LM_MemorizationLinks
Training data extraction on GPT-2
☆193Updated 2 years ago
Alternatives and similar repositories for LM_Memorization
Users that are interested in LM_Memorization are comparing it to the libraries listed below
Sorting:
- ☆293Updated 3 months ago
- Repo for arXiv preprint "Gradient-based Adversarial Attacks against Text Transformers"☆109Updated 2 years ago
- A codebase that makes differentially private training of transformers easy.☆177Updated 2 years ago
- Python package for measuring memorization in LLMs.☆173Updated 4 months ago
- ☆76Updated 3 years ago
- ☆21Updated 4 years ago
- Code for the paper "Weight Poisoning Attacks on Pre-trained Models" (ACL 2020)☆142Updated last month
- ☆56Updated last year
- ☆25Updated 4 years ago
- Implementation of the paper "Exploring the Universal Vulnerability of Prompt-based Learning Paradigm" on Findings of NAACL 2022☆31Updated 3 years ago
- Code for the paper "Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models" (NAACL-…☆43Updated 4 years ago
- Official Repository for Dataset Inference for LLMs☆43Updated last year
- This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.☆89Updated last year
- [ICLR'24 Spotlight] DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer☆46Updated last year
- The code and data for "Are Large Pre-Trained Language Models Leaking Your Personal Information?" (Findings of EMNLP '22)☆24Updated 3 years ago
- A re-implementation of the "Extracting Training Data from Large Language Models" paper by Carlini et al., 2020☆37Updated 3 years ago
- Source code of NAACL 2025 Findings "Scaling Up Membership Inference: When and How Attacks Succeed on Large Language Models"☆15Updated 9 months ago
- Code for paper: "Spinning Language Models: Risks of Propaganda-as-a-Service and Countermeasures"☆21Updated 3 years ago
- The repository contains the code for analysing the leakage of personally identifiable (PII) information from the output of next word pred…☆101Updated last year
- codes for "Searching for an Effective Defender:Benchmarking Defense against Adversarial Word Substitution"☆31Updated 2 years ago
- Code for watermarking language models☆83Updated last year
- A survey of privacy problems in Large Language Models (LLMs). Contains summary of the corresponding paper along with relevant code☆68Updated last year
- A Synthetic Dataset for Personal Attribute Inference (NeurIPS'24 D&B)☆45Updated 3 months ago
- Official implementation of the EMNLP 2021 paper "ONION: A Simple and Effective Defense Against Textual Backdoor Attacks"☆35Updated 4 years ago
- ☆13Updated 3 years ago
- ☆47Updated 9 months ago
- Codes and datasets of the paper Red-Teaming Large Language Models using Chain of Utterances for Safety-Alignment☆107Updated last year
- Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873☆169Updated last year
- An open-source toolkit for textual backdoor attack and defense (NeurIPS 2022 D&B, Spotlight)☆195Updated 2 years ago
- Differentially-private transformers using HuggingFace and Opacus☆143Updated last year