Giandomenico Cornacchia

According to our database, Giandomenico Cornacchia authored at least 19 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Formalizing Multimedia Recommendation through Multimodal Deep Learning.

Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Felice Antonio Merra, Tommaso Di Noia, Eugenio Di Sciascio

Trans. Recomm. Syst., September, 2025

Forging Time Series with Language: A Large Language Model Approach to Synthetic Data Generation.

Cécile Rousseau, Tobia Boschi, Giandomenico Cornacchia, Dhaval Salwala, Alessandra Pascale, Juan Bernabé-Moreno

CoRR, May, 2025

MAD-MAX: Modular And Diverse Malicious Attack MiXtures for Automated LLM Red Teaming.

Stefan Schoepf, Muhammad Zaid Hameed, Ambrish Rawat, Kieran Fraser, Giulio Zizzo, Giandomenico Cornacchia, Mark Purcell

CoRR, March, 2025

Adversarial Prompt Evaluation: Systematic Benchmarking of Guardrails Against Prompt Input Attacks on LLMs.

Giulio Zizzo, Giandomenico Cornacchia, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Beat Buesser, Mark Purcell, Pin-Yu Chen, Prasanna Sattigeri, Kush R. Varshney

CoRR, February, 2025

Underrepresentation, label bias, and proxies: Towards Data Bias Profiles for the EU AI act and beyond.

Marina Ceccon, Giandomenico Cornacchia, Davide Dalle Pezze, Alessandro Fabris, Gian Antonio Susto

Expert Syst. Appl., 2025

Granite Guardian: Comprehensive LLM Safeguarding.

Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martín Santillán Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

Granite Guardian.

Inkit Padhi, Manish Nagireddy, Giandomenico Cornacchia, Subhajit Chaudhury, Tejaswini Pedapati, Pierre L. Dognin, Keerthiram Murugesan, Erik Miehling, Martin Santillan Cooper, Kieran Fraser, Giulio Zizzo, Muhammad Zaid Hameed, Mark Purcell, Michael Desmond, Qian Pan, Zahra Ashktorab, Inge Vejsbjerg, Elizabeth M. Daly, Michael Hind, Werner Geyer, Ambrish Rawat, Kush R. Varshney, Prasanna Sattigeri

CoRR, 2024

Attack Atlas: A Practitioner's Perspective on Challenges and Pitfalls in Red Teaming GenAI.

Ambrish Rawat, Stefan Schoepf, Giulio Zizzo, Giandomenico Cornacchia, Muhammad Zaid Hameed, Kieran Fraser, Erik Miehling, Beat Buesser, Elizabeth M. Daly, Mark Purcell, Prasanna Sattigeri, Pin-Yu Chen, Kush R. Varshney

CoRR, 2024

MoJE: Mixture of Jailbreak Experts, Naive Tabular Classifiers as Guard for Prompt Attacks.

Giandomenico Cornacchia, Giulio Zizzo, Kieran Fraser, Muhammad Zaid Hameed, Ambrish Rawat, Mark Purcell

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

Auditing fairness under unawareness through counterfactual reasoning.

Giandomenico Cornacchia, Vito Walter Anelli, Giovanni Maria Biancofiore, Fedelucio Narducci, Claudio Pomo, Azzurra Ragone, Eugenio Di Sciascio

Inf. Process. Manag., 2023

Counterfactual Fair Opportunity: Measuring Decision Model Fairness with Counterfactual Reasoning.

Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio

CoRR, 2023

Counterfactual Reasoning for Decision Model Fairness Assessment.

Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

On Popularity Bias of Multimodal-aware Recommender Systems: A Modalities-driven Analysis.

Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia

Proceedings of the 1st International Workshop on Deep Multimodal Learning for Information Retrieval, 2023

Disentangling the Performance Puzzle of Multimodal-aware Recommender Systems.

Daniele Malitesta, Giandomenico Cornacchia, Claudio Pomo, Tommaso Di Noia

Proceedings of EvalRS: A Rounded Evaluation Of Recommender Systems 2023 co-located with 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), 2023

Counterfactual Reasoning for Responsible AI Assessment.

Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio

Proceedings of the Italia Intelligenza Artificiale, 2023

Counterfactual Reasoning for Bias Evaluation and Detection in a Fairness Under Unawareness Setting.

Giandomenico Cornacchia, Vito Walter Anelli, Fedelucio Narducci, Azzurra Ragone, Eugenio Di Sciascio

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2021

A General Model for Fair and Explainable Recommendation in the Loan Domain (Short paper).

Giandomenico Cornacchia, Fedelucio Narducci, Azzurra Ragone

Proceedings of the Joint Workshop Proceedings of the 3rd Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) and the 5th Edition of Recommendation in Complex Environments (ComplexRec) co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021

Improving the User Experience and the Trustworthiness of Financial Services.

Giandomenico Cornacchia, Fedelucio Narducci, Azzurra Ragone

Proceedings of the Human-Computer Interaction - INTERACT 2021 - 18th IFIP TC 13 International Conference, Bari, Italy, August 30, 2021

Explanation in Multi-Stakeholder Recommendation for Enterprise Decision Support Systems.

Giandomenico Cornacchia, Francesco M. Donini, Fedelucio Narducci, Claudio Pomo, Azzurra Ragone

Proceedings of the Advanced Information Systems Engineering Workshops - CAiSE 2021 International Workshops, Melbourne, VIC, Australia, June 28, 2021