Papers by Yan Solihin

2 papers
Jailbreaking LLMs with Arabic Transliteration and Arabizi (2024.emnlp-main)

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Challenge: Large Language Models (LLMs) are vulnerable to ‘jailbreak’ attacks, focusing on the Arabic language and its various forms.
Approach: They propose to use Arabic transliteration and chatspeak to generate unsafe content on platforms like OpenAI GPT-4 and Anthropic Claude 3 Sonnet.
Outcome: The proposed model could generate unsafe content on platforms like OpenAI GPT-4 and Anthropic Claude 3 Sonnet, highlighting the need for more comprehensive safety training across all language forms.
Evaluating the Robustness and Accuracy of Text Watermarking Under Real-World Cross-Lingual Manipulations (2025.findings-emnlp)

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Challenge: a study focuses on evaluating watermarking methods for the English language . the literature for evaluating cross-lingual watermarks is scarce .
Approach: They evaluate representative watermarking methods in four different languages . they examine the quality of text under different watermark procedures .
Outcome: The proposed method is compared with other evaluation methods in four different languages.

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