A survey of attacks on large vision-language models: Resources, advances, and future trends
Adversarial attacks of vision tasks in the past 10 years: A survey
Adversarial attacks, which manipulate input data to undermine model availability and
integrity, pose significant security threats during machine learning inference. With the advent …
integrity, pose significant security threats during machine learning inference. With the advent …
Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning
The open-sourcing of large language models (LLMs) accelerates application development,
innovation, and scientific progress. This includes both base models, which are pre-trained …
innovation, and scientific progress. This includes both base models, which are pre-trained …