Abstract: This paper introduces an innovative framework designed to bolster the security of large language models (LLMs) and source code through automated penetration testing and vulnerability ...
[2024/07/25] We release the preprint paper on Arxiv, Safety-J's model weights, data for six testing tasks, and prompts in developing them. Safety-J is an advanced bilingual (English and Chinese) ...
Abstract: Despite the widespread use of NLP technologies have become widely used in multilingual and code-mixed settings, adversarial robustness efforts have predominantly concentrated on monolingual ...
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