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Author

P. D. de Senna

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Preprint Oct 2026

Combining Long-Term Memory and LLMs Comes at a High Cost: From Prompt Injection to Persistent Compromise

The widespread adoption of generative artificial intelligence in recent years has brought a parallel rise in prompt injection and jailbreak attacks. By embedding malicious instructions, these exploits manipulate language models to bypass intended behavior and operational boundaries. In traditional chatbots, such attack...

Pedro H. Barcha Correia, Matheus Azevedo de Sá, P. D. de Senna et al. · 0 citations
Review Open access Sep 2026

UnifiedBench: Toward a Unified Dataset for Red-Teaming Language Models

The findings reveal current alignment procedures are comparatively less effective at preserving deployment-specific operational constraints than at preventing conventionally harmful content.

Matheus Azevedo de Sá, P. D. de Senna, M. P. Pagliuso et al. · 0 citations

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