Revisiting the Evaluation of Class Activation Mapping for Explainability: A Novel Metric and Experimental Analysis. - Samuele Poppi; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CVPR Workshops, 2021)

Unveiling the Impact of Image Transformations on Deepfake Detection: An Experimental Analysis. - Federico Cocchi; Lorenzo Baraldi 002; Samuele Poppi; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (2), 2023)

Towards Explainable Navigation and Recounting. - Samuele Poppi; Roberto Bigazzi; Niyati Rawal; Marcella Cornia; Silvia Cascianelli; Lorenzo Baraldi 001; Rita Cucchiara (ICIAP (1), 2023)

Multi-Class Explainable Unlearning for Image Classification via Weight Filtering. - Samuele Poppi; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2023)

Removing NSFW Concepts from Vision-and-Language Models for Text-to-Image Retrieval and Generation. - Samuele Poppi; Tobia Poppi; Federico Cocchi; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2023)

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models. - Samuele Poppi; Tobia Poppi; Federico Cocchi; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ECCV (53), 2024)

Unlearning Vision Transformers Without Retaining Data via Low-Rank Decompositions. - Samuele Poppi; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (ICPR (3), 2024)

Multiclass Unlearning for Image Classification via Weight Filtering. - Samuele Poppi; Sara Sarto; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (IEEE Intell. Syst., 2024)

Towards Understanding the Fragility of Multilingual LLMs against Fine-Tuning Attacks. - Samuele Poppi; Zheng-Xin Yong; Yifei He; Bobbie Chern; Han Zhao 002; Aobo Yang; Jianfeng Chi (NAACL (Findings), 2025)

Improving LLM First-Token Predictions in Multiple-Choice Question Answering via Prefilling Attack. - Silvia Cappelletti; Tobia Poppi; Samuele Poppi; Zheng-Xin Yong; Diego Garcia-Olano; Marcella Cornia; Lorenzo Baraldi 001; Rita Cucchiara (CoRR, 2025)

Mitigating Watermark Stealing Attacks in Generative Models via Multi-Key Watermarking. - Toluwani Aremu; Noor Hussein; Munachiso Nwadike; Samuele Poppi; Jie Zhang; Karthik Nandakumar; Neil Gong 001; Nils Lukas (CoRR, 2025)