Papers with Red Teaming

1 papers
Red Teaming Visual Language Models (2024.findings-acl)

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Challenge: VLMs (Vision-Language Models) can be induced to generate harmful or inaccurate content through specific test cases.
Approach: They propose a red teaming dataset which encompasses 12 subtasks under 4 primary aspects (faithfulness, privacy, safety, fairness) this dataset is the first to benchmark current VLMs in terms of these 4 aspects .
Outcome: The proposed dataset shows that 10 open-source VLMs struggle with red teaming in different degrees and have up to 31% performance gap with GPT-4V.

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