Modelling Control Arguments via Cooperation Logic in Unforeseen Scenarios. - Minal Suresh Patil (CoRR, 2022)

Explainability in autonomous pedagogically structured scenarios. - Minal Suresh Patil (CoRR, 2022)

Towards Preserving Semantic Structure in Argumentative Multi-Agent via Abstract Interpretation. - Minal Suresh Patil (CoRR, 2022)

Online Handbook of Argumentation for AI: Volume 3. - Lars Bengel; Elfia Bezou-Vrakatseli; Lydia Blümel; Federico Castagna; Giulia D'Agostino; Daphne Odekerken; Minal Suresh Patil; Jordan Robinson; Hao Wu; Andreas Xydis (CoRR, 2022)

Improving Neural Network Verification Efficiency Through Perturbation Refinement. - Minal Suresh Patil; Kary Främling (ICANN (1), 2023)

Investigating Lipschitz Constants in Neural Ensemble Models to Improve Adversarial Robustness. - Minal Suresh Patil; Kary Främling (ICSRS, 2023)

Do Intermediate Feature Coalitions Aid Explainability of Black-Box Models? - Minal Suresh Patil; Kary Främling (xAI (1), 2023)

Context, Utility and Influence of an Explanation. - Minal Suresh Patil; Kary Främling (CoRR, 2023)

Enhancing Vulnerable Class Robustness in Adversarial Machine Learning. - Minal Suresh Patil; Kary Främling (IJCNN, 2024)

Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software. - Minal Suresh Patil; Gustav Ung; Mattias Nyberg (AISoLA, 2024)