Scientific results



81 documents

  • Katarzyna Kapusta, Lucas Mattioli, Boussad Addad, Mohammed Lansari. Protecting ownership rights of ML models using watermarking in the light of adversarial attacks. Workshop AITA AI Trustworthiness Assessment - AAAI Spring Symposium, Mar 2023, Palo Alto (Californie), United States. ⟨hal-04264033⟩
  • Patrice Aknin, Bertrand Braunschweig, Loic Cantat, Faïcel Chamroukhi, Georges Hebrail, et al.. Confiance.ai Days 2022. Booklet of articles & posters. 2023. ⟨hal-04024209⟩
  • Morayo Adedjouma, Christophe Alix, Yannick Bonhomme, Bertrand Braunschweig, Raphaël Braud, et al.. Confiance.ai, avancées scientifiques et technologiques. ActuIA, 2023, pp50-55. Volume 11. ⟨hal-04077854⟩
  • Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Petreczky Mihaly. Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings. Systems & Control Letters, 2023, 173, pp.105468. ⟨hal-03872484⟩
  • Juliette Mattioli, Henri Sohier, Agnès Delaborde, Gabriel Pedroza, Kahina Amokrane, et al.. Towards a holistic approach for AI trustworthiness assessment based upon aids for multi-criteria aggregation. SafeAI 2023 - The AAAI's Workshop on Artificial Intelligence Safety, AAAI, Feb 2023, Washington, D.C., United States. ⟨hal-04086455⟩
  • Fabio Arnez, Ansgar Radermacher, François Terrier. Out-of-Distribution Detection Using Deep Neural Network Latent Space Uncertainty. 37th AAAI Conference on Artificial Intelligence: SafeAI 2023 workshop, Feb 2023, Washigton, D.C., United States. ⟨hal-04486388⟩
  • Fateh Kaakai, Paul-Marie Raffi. Towards Multi-timescale Online Monitoring of AI Models: Principles and Preliminary Results. SafeAI, AAAI’s Workshop on Artificial Intelligence Safety, Feb 2023, Washinghton, DC, United States. ⟨hal-04240929⟩
  • Ramzi Ben Mhenni, Mohamed Ibn Khedher, Stéphane Canu. Robustness of Neural Networks Based on MIP Optimization. 2023. ⟨hal-03978730⟩
  • Flora Dellinger, Raphaël Braud, Angelique Loesch. Données sans confiance n'est que ruine de l'IA. ActuIA, 2023, pp37-39, volume 10. ⟨hal-04078658⟩
  • Stéphane Burel, Adrian Evans, Lorena Anghel. Improving DNN fault tolerance in semantic segmentation applications. IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), Oct 2022, Austin, United States. pp.1-6, ⟨10.1109/DFT56152.2022.9962354⟩. ⟨hal-03960998⟩