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
- The official repository of the paper "On the Exploitability of Instruction Tuning".☆64Updated last year
- An official implementation of "Catastrophic Failure of LLM Unlearning via Quantization" (ICLR 2025)☆27Updated 4 months ago
- Package to optimize Adversarial Attacks against (Large) Language Models with Varied Objectives☆69Updated last year
- ☆43Updated 2 years ago
- ☆29Updated 2 years ago
- ☆46Updated last year
- ☆31Updated 2 years ago
- Does Refusal Training in LLMs Generalize to the Past Tense? [ICLR 2025]☆69Updated 5 months ago
- ☆55Updated 2 years ago
- [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)☆79Updated 8 months ago
- Is In-Context Learning Sufficient for Instruction Following in LLMs? [ICLR 2025]☆31Updated 5 months ago
- AIR-Bench 2024 is a safety benchmark that aligns with emerging government regulations and company policies☆23Updated 11 months ago
- NeurIPS'24 - LLM Safety Landscape☆25Updated 4 months ago
- PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)☆38Updated 8 months 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
- ☆35Updated 7 months ago
- ☆44Updated 5 months ago
- ☆21Updated 8 months ago
- [ICML 2024] Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM Agents Exponentially Fast☆109Updated last year
- ☆16Updated 2 years ago
- ☆20Updated 3 months ago
- Official Repository for Dataset Inference for LLMs☆35Updated 11 months ago
- This is the oficial repository for "Safer-Instruct: Aligning Language Models with Automated Preference Data"☆17Updated last year
- ConceptVectors Benchmark and Code for the paper "Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces"☆36Updated 5 months ago
- Stanford NLP Python library for benchmarking the utility of LLM interpretability methods☆102Updated 3 weeks ago
- [ICML 2025] Weak-to-Strong Jailbreaking on Large Language Models☆79Updated 2 months ago
- ☆18Updated 8 months ago
- ☆17Updated last year
- ☆44Updated 2 years ago