publications

2024

  1. Conference
    Enhancing Vulnerable Class Robustness in Adversarial Machine Learning
    Minal Suresh Patil, and Kary Främling
    In Proceedings of IEEE World Congress on Computational Intelligence (IEEE-WCCI): International Joint Conference on Neural Networks (IJCNN), 2024

2023

  1. Conference
    Investigating Lipschitz Constants in Neural Ensemble Models to Improve Adversarial Robustness
    Minal Suresh Patil, and Kary Främling
    In Proceedings of 7th International Conference on System Reliability and Safety (ICSRS), 2023
    PDF
  2. Conference
    Improving Neural Network Verification Efficiency through Perturbation Refinement
    Minal Suresh Patil, and Kary Främling
    In Proceedings of 32nd International Conference on Artificial Neural Networks(ICANN), 2023
    PDF
  3. Conference
    Do Intermediate Feature Coalitions Aid in the Explainability of Black-Box Models?
    Minal Suresh Patil, and Kary Främling
    In Proceedings of 1st World Conference on eXplainable Artificial Intelligence, 2023
    PDF

2022

  1. Conference
    Towards Preserving Semantics Structure in Argumentative Multi-Agent via Abstract Interpretation
    Minal Suresh Patil, and Kary Främling
    In Proceedings of 3rd Online Handbook of Argumentation for AI (OHAAI), 2022
    PDF
  2. Conference
    Modelling Control Arguments via Cooperation Logic in Unforeseen Scenarios
    Minal Suresh Patil, and Kary Främling
    In 36th AAAI 2022 Fall Symposium - Thinking Fast and Slow and Other Cognitive Theories, 2022
    PDF
  3. Workshop
    Explainability in Autonomous Pedagogically Structured Scenarios
    Minal Suresh Patil, and Kary Främling
    In Proceedings of Workshop on Explainable Agency in Artificial Intelligence at 36th Association for the Advancement of Artificial Intelligence (AAAI), 2022
    PDF

2021

  1. poster
    Towards Explainable Agency in Multi-Agents Systems Using Inductive Learning and Answer Set Programming
    Minal Suresh Patil
    At 6th International Conference on Automation, Control and Robotics Engineering (IEEE-CACRE), 2021