3 citations · 3 across the 3 of their papers we have counts for
3 papers
Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning
Lorenzo Orsingher, Thomas De Min, Massimiliano Mancini +2
Machine unlearning has emerged as a tool for removing personal data from trained models to comply with recent AI regulations. To evaluate unlearning effectiveness in multimodal lar…
Conditioned Prompt-Optimization for Continual Deepfake Detection
Francesco Laiti, Benedetta Liberatori, Thomas De Min +1
The rapid advancement of generative models has significantly enhanced the realism and customization of digital content creation. The increasing power of these tools, coupled with t…
Quantum Annealing Learning Search Implementations
Andrea Bonomi, Thomas De Min, Enrico Zardini +3
This paper presents the details and testing of two implementations (in C++ and Python) of the hybrid quantum-classical algorithm Quantum Annealing Learning Search (QALS) on a D-Wav…