Samuele Poppi

Orcid: 0000-0002-8428-501X

According to our database1, Samuele Poppi authored at least 14 papers between 2021 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Robust Safety Monitoring of Language Models via Activation Watermarking.
CoRR, March, 2026

2025
Robust and Calibrated Detection of Authentic Multimedia Content.
CoRR, December, 2025

SPQR: A Standardized Benchmark for Modern Safety Alignment Methods in Text-to-Image Diffusion Models.
CoRR, November, 2025

Mitigating Watermark Stealing Attacks in Generative Models via Multi-Key Watermarking.
CoRR, July, 2025

Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Prefilling Attack.
CoRR, May, 2025

Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024
Multiclass Unlearning for Image Classification via Weight Filtering.
IEEE Intell. Syst., 2024

Unlearning Vision Transformers Without Retaining Data via Low-Rank Decompositions.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Removing NSFW Concepts from Vision-and-Language Models for Text-to-Image Retrieval and Generation.
CoRR, 2023

Multi-Class Explainable Unlearning for Image Classification via Weight Filtering.
CoRR, 2023

Towards Explainable Navigation and Recounting.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis.
Proceedings of the Image Analysis and Processing - ICIAP 2023, 2023

2021
Revisiting the Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021


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