Co-occurring keywords · papers mentioning both
Papers
Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions
ICLR 2024
Stress-Testing Capability Elicitation With Password-Locked Models
NeurIPS 2024
Tree of Attacks: Jailbreaking Black-Box LLMs Automatically
NeurIPS 2024
Adversarial Textual Robustness on Visual Dialog
ACL 2023
Attack Prompt Generation for Red Teaming and Defending Large Language Models
EMNLP 2023
Automatically Auditing Large Language Models via Discrete Optimization
ICML 2023
Holistic Adversarial Robustness of Deep Learning Models
AAAI 2023
NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails
EMNLP 2023
Self-Detoxifying Language Models via Toxification Reversal
EMNLP 2023
On the Safety of Interpretable Machine Learning: A Maximum Deviation Approach
NeurIPS 2022
Verification of Non-Linear Specifications for Neural Networks
ICLR 2019