News

We are thrilled to announce that our paper “Attractor-Aware Hyperbolic Lipschitz-Constrained Reinforcement Learning for FX Market: LLM-Structured …

From October 22 to 24, Massimo Orazio Spata have attended MetroXRAINE 2025 IEEE Conference in Ancona, where I presented with an oral two research …

Novel Metric for Detecting Memorization in Generative Models for Brain MRI Synthesis’ accepted at IEEE/CVF WACV (Winter Conference on Application of …

CNNMC: A Convolutional Neural Network with Monte Carlo Dropout for Speaker Recognition. Authors: Massimo Orazio Spata, Alessandro Ortis, Georgia …

I’m super excited to share that our paper “TRUST: Leveraging Text Robustness for Unsupervised Domain Adaptation” has been accepted at AAAI 2026! …

I’m very pleased to share that our latest paper, “Multi-agent reinforcement learning and variational inequality models for international trade …

We are very proud to announce that the 1st AADD‑2025 Challenge: Adversarial Attacks on Deepfake Detectors, held as a grand challenge at ACM …

We are thrilled to announce that the 1st Deepfake Forensics Workshop: Detection, Attribution, Recognition, and Adversarial Challenges in the Era …

Georgia Fargetta, Stefano Anile, Luigi Priano, Massimo Orazio Spata, Alessandro Ortis, and Sebastiano Battiato are …

Happy to contribute next week (28/10/2025) – thanks to Xenia Progetti for inviting me!  Prof Giovanni Maria Farinella

The paper entitled “A Novel Adversarial Gray-Box Attack on DCT-based Face Deepfake Detectors” has been accepted at IEEE Access  …

The paper entitled “SignForensics: A Robust Framework for Forensic Offline Signature Verification with Enhanced Detection, Noise Removal, and …

The paper “Hyperbolic Deep Learning System for Intelligent Gate-Driving and Health Monitoring of SiC MOSFETs” has been accepted for publication in …

Good news! The paper with title “Exocentric-to-Egocentric Adaptation for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs” has …

We are pleased to share that our paper “Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation” …

Congrats to our students Giuseppe Lando and Rosario Forte for the ICIAP 2025 Best Student Paper Award!