ShanglunFengatETHZ / PrivacyBackdoorLinks
Privacy backdoors
☆51Updated last year
Alternatives and similar repositories for PrivacyBackdoor
Users that are interested in PrivacyBackdoor are comparing it to the libraries listed below
Sorting:
- ☆35Updated 2 years ago
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆70Updated last year
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆94Updated last year
- ☆44Updated 2 years ago
- Finding trojans in aligned LLMs. Official repository for the competition hosted at SaTML 2024.☆116Updated last year
- ☆46Updated last year
- Adversarial Attacks on GPT-4 via Simple Random Search [Dec 2023]☆43Updated last year
- ☆37Updated last year
- The official repository of the paper "On the Exploitability of Instruction Tuning".☆67Updated last year
- Code to break Llama Guard☆32Updated 2 years ago
- ☆59Updated 2 years ago
- Does Refusal Training in LLMs Generalize to the Past Tense? [ICLR 2025]☆77Updated 11 months ago
- NeurIPS'24 - LLM Safety Landscape☆37Updated 2 months ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆161Updated 6 months ago
- ☆20Updated 10 months ago
- [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)☆85Updated last year
- ☆23Updated 11 months ago
- Gemstones: A Model Suite for Multi-Faceted Scaling Laws (NeurIPS 2025)☆30Updated 3 months ago
- ☆33Updated 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…☆157Updated 7 months ago
- ☆33Updated 7 months ago
- Official Repository for Dataset Inference for LLMs☆43Updated last year
- ☆31Updated 2 years ago
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆35Updated 10 months ago
- [ICLR 2025] Official Repository for "Tamper-Resistant Safeguards for Open-Weight LLMs"☆65Updated 7 months ago
- Independent robustness evaluation of Improving Alignment and Robustness with Short Circuiting☆18Updated 8 months ago
- ☆24Updated last year
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆41Updated last year
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆17Updated 9 months ago
- Trains Sparse Autoencoders based on outputs from language models☆11Updated last year