fra31 / rlhf-trojan-competition-submissionLinks
☆18Updated last year
Alternatives and similar repositories for rlhf-trojan-competition-submission
Users that are interested in rlhf-trojan-competition-submission are comparing it to the libraries listed below
Sorting:
- Adversarial Attacks on GPT-4 via Simple Random Search [Dec 2023]☆43Updated last year
- ☆20Updated 5 months ago
- The official repository of the paper "On the Exploitability of Instruction Tuning".☆65Updated last year
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆70Updated last year
- ☆59Updated 2 years ago
- ☆44Updated 2 years ago
- ☆30Updated 2 years ago
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆35Updated 9 months ago
- [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)☆84Updated last year
- ☆31Updated 2 years ago
- Does Refusal Training in LLMs Generalize to the Past Tense? [ICLR 2025]☆77Updated 10 months ago
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆17Updated 8 months ago
- ☆16Updated last year
- Official PyTorch implementation of "Neural Relation Graph: A Unified Framework for Identifying Label Noise and Outlier Data" (NeurIPS'23)☆15Updated 2 years ago
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- NeurIPS'24 - LLM Safety Landscape☆33Updated last month
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 10 months ago
- Code to break Llama Guard☆32Updated 2 years ago
- Finding trojans in aligned LLMs. Official repository for the competition hosted at SaTML 2024.☆115Updated last year
- ☆46Updated last year
- Code repo for the model organisms and convergent directions of EM papers.☆40Updated 2 months ago
- The repository contains code for Adaptive Data Optimization☆29Updated 11 months ago
- ☆20Updated 4 months ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆93Updated last year
- Privacy backdoors☆52Updated last year
- Code repo for the paper: Attacking Vision-Language Computer Agents via Pop-ups☆47Updated 11 months ago
- Official Repository for Dataset Inference for LLMs☆43Updated last year
- AIR-Bench 2024 is a safety benchmark that aligns with emerging government regulations and company policies☆27Updated last year
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆41Updated last year
- Code for the ICLR 2024 paper "How to catch an AI liar: Lie detection in black-box LLMs by asking unrelated questions"☆71Updated last year