fra31 / rlhf-trojan-competition-submissionLinks
☆19Updated 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
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆29Updated 5 months ago
- The official repository of the paper "On the Exploitability of Instruction Tuning".☆64Updated last year
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆70Updated last year
- Does Refusal Training in LLMs Generalize to the Past Tense? [ICLR 2025]☆72Updated 6 months ago
- ☆29Updated 2 years ago
- [NeurIPS 2024] Goldfish Loss: Mitigating Memorization in Generative LLMs☆91Updated 8 months ago
- ☆20Updated last week
- AIR-Bench 2024 is a safety benchmark that aligns with emerging government regulations and company policies☆23Updated 11 months ago
- ☆43Updated 2 years ago
- 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
- [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)☆81Updated 9 months ago
- Code for reproducing our paper "Low Rank Adapting Models for Sparse Autoencoder Features"☆12Updated 4 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 6 months ago
- ☆56Updated 2 years ago
- Codebase for Inference-Time Policy Adapters☆24Updated last year
- ☆31Updated 2 years ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆39Updated 9 months ago
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆83Updated 3 months ago
- Adversaial attack comparative assessment Large Language Model☆11Updated 2 months ago
- [ICML 2024] Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast☆111Updated last year
- ☆17Updated last year
- ☆21Updated 9 months ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆112Updated last month
- ☆44Updated 6 months ago
- Implementation for the paper "Fictitious Synthetic Data Can Improve LLM Factuality via Prerequisite Learning"☆10Updated 7 months ago
- Code to break Llama Guard☆31Updated last year
- Finding trojans in aligned LLMs. Official repository for the competition hosted at SaTML 2024.☆114Updated last year
- ☆35Updated 7 months ago