Publications

  • Zuccarà, R., Fargetta, G., Ortis, A., & Battiato, S. (2025). Exploiting Adversarial Learning and Topology Augmentation for Open-Set Visual Recognition. In Proceedings of the Computer Vision and Pattern Recognition Conference (pp. 3416-3424).
  • Amerini, Irene, et al. "Deepfake media forensics: Status and future challenges." Journal of Imaging 11.3 (2025): 73.
  • Spata, M. O., Russo, V. M., Ortis, A., & Battiato, S. (2025). A New Pipeline for Snooping Keystroke Based on Deep Learning Algorithm. IEEE Access.
  • Guarnera, Luca, et al. "Evasion Attack on Deepfake Detection via DCT Trace Manipulation." International Conference on Pattern Recognition. Cham: Springer Nature Switzerland, 2024.
  • Pasqualino, G., Guarnera, L., Ortis, A., & Battiato, S. (2024). MITS-GAN: Safeguarding medical imaging from tampering with generative adversarial networks. Computers in Biology and Medicine, 183, 109248.
  • Giurato, S., Ortis, A., & Battiato, S. (2023, September). Real-Time Multiclass Face Spoofing Recognition Through Spatiotemporal Convolutional 3D Features. In International Conference on Image Analysis and Processing (pp. 356-367). Cham: Springer Nature Switzerland.
  • Spata, M. O., Ortis, A., Battiato, S., & Russo, V. M. (2024, July). A new deep learning pipeline for acoustic attack on keyboards. In Intelligent Systems Conference (pp. 402-414). Cham: Springer Nature Switzerland.
  • Fargetta, G., Ortis, A., Anile, S., & Battiato, S. (2024, May). Evaluation of CNNs for Wildcats Classification in Real World Scenario. In International Conference on Advanced Engineering, Technology and Applications (pp. 15-25). Cham: Springer Nature Switzerland.
  • Spata, M. O., Russo, V. M., Ortis, A., & Battiato, S. (2024, October). Acoustic Side Channel Attack for Keystroke Splitting in the Wild. In 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp. 131-136). IEEE.
  • Spata, M.O., Battiato, S., Ortis, A., Rundo, F., Calabretta, M., Pino, C., Messina, A. Deep Learning Algorithm for Advanced Level-3 Inverse-Modeling of Silicon-Carbide Power MOSFET Devices,(2024) Proceedings of SPIE - The International Society for Optical Engineering, 12973, art. no. 1297309
  • Cauli, Nino, Alessandro Ortis, and Sebastiano Battiato. "Fooling a face recognition system with a marker-free label-consistent backdoor attack." International Conference on Image Analysis and Processing. Cham: Springer International Publishing, 2022.
  • Guarnera, Luca, et al. "The face deepfake detection challenge." Journal of Imaging 8.10 (2022): 263.
  • Zuccarà, R., Ortis, A., & Battiato, S. (2022, May). Recognition of complex gestures for real-time emoji assignment. In International Conference on Image Analysis and Processing (pp. 215-227). Cham: Springer International Publishing.
  • Rundo, F., Anfuso, I., Amore, M. G., Ortis, A., Messina, A., Conoci, S., & Battiato, S. (2022). Advanced eNose-driven pedestrian tracking pipeline for intelligent car driver assisting system: preliminary results. Sensors, 22(2), 674.
  • Devaram, R. R., Ortis, A., Battiato, S., Bruna, A. R., & Tomaselli, V. (2021). Real-time thermal face identification system for low memory vision applications using cnn. In Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings, Part V (pp. 529-543). Springer International Publishing.
  • Battiato, S., Conoci, S., Leotta, R., Ortis, A., Rundo, F., & Trenta, F. (2020, November). Benchmarking of computer vision algorithms for driver monitoring on automotive-grade devices. In 2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE) (pp. 1-6). IEEE.
  • Rundo, F., Ortis, A., Battiato, S., & Conoci, S. (2018). Advanced bio-inspired system for noninvasive cuff-less blood pressure estimation from physiological signal analysis. Computation, 6(3), 46.
  • Rundo, F., Conoci, S., Ortis, A., & Battiato, S. (2018). An advanced bio-inspired photoplethysmography (PPG) and ECG pattern recognition system for medical assessment. Sensors, 18(2), 405.