Papers by MD Sadik Hossain Shanto

2 papers
SequentialBreak: Large Language Models Can be Fooled by Embedding Jailbreak Prompts into Sequential Prompt Chains (2025.acl-srw)

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Challenge: SequentialBreak enables LLMs to bypass safety mechanisms by arranging malicious prompts in a single query.
Approach: They propose a single-query jailbreak technique that arranges multiple benign prompts in sequence with a hidden malicious instruction among them to bypass safety mechanisms.
Outcome: The proposed technique outperforms baselines on open-source and closed-source models.
The Art of Saying "Maybe": A Conformal Lens for Uncertainty Benchmarking in VLMs (2026.findings-eacl)

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Challenge: Recent advances in large vision-language models have led to remarkable progress in complex visual understanding across scientific and reasoning tasks.
Approach: They evaluate 18 state-of-the-art vision-language models across 6 multimodal datasets with 3 distinct scoring functions and develop instruction-guided likelihood proxies for closed-source models lacking token-level logprob access.
Outcome: The proposed model is able to achieve higher accuracy on multimodal benchmarks while performing poorer on reasoning tasks.

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