Samuele Poppi 🦾
Samuele Poppi

Postdoctoral Associate - AI Safety

About Me

Hi! I’m Samuele Poppi, a Postdoctoral Associate at MBZUAI. I hold a Ph.D. in AI from the Universities of Pisa and Modena, where I focused on Responsible and Safe AI for vision and language.

My work spans explainable AI, machine unlearning, and safety testing (red- and blue-teaming) of LLMs and multimodal models. During a research internship at Meta GenAI, I worked on LLM safety with mentors like Cristian Canton Ferrer and Jianfeng Chi. I’m now collaborating internationally on projects aimed at making AI systems more secure and trustworthy.

Feel free to drop me an e-mail for any communication!

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Interests
  • AI Safety
  • Trustworthy and Explainable AI
  • Privacy
Education
  • PhD Artificial Intelligence

    University of Pisa and University of Modena-Reggio Emilia

  • MSc Computer Engineering - Computer Vision

    University of Modena-Reggio Emilia

  • BSc Computer Engineering

    University of Modena-Reggio Emilia

šŸ“š My Research

Hi, I’m Samuele Poppi! I hold a Ph.D. in AI from the Universities of Pisa and Modena, where I focused on responsible and safe AI for vision and language. My work spans explainable AI, machine unlearning, and testing AI systems for safety flaws. I also interned at Meta GenAI, working on LLM safety, and I’m currently involved in several international projects on AI safety.

Feel free to drop me an e-mail for any communication!

Featured Publications
Recent Publications
(2025). Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Prefilling Attack.
(2024). Unlearning Vision Transformers without Retaining Data via Low-Rank Decompositions. In ICPR.
(2024). Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks. In NAACL.
(2023). Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models. In ECCV.
(2023). Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis. In ICIAP.
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