| 2026 | ACIIDS | Hybrid Deep Learning Architectures for Forecasting 10-Year Indian Government Bond Yields. | Manjula Pilaka, Abhinav Kumar, Aneesh Sreevallabh Chivukula, Sai Poorna Parikshit Dashetwar |
| 2026 | ACIIDS | A Variational Adversarial Game Framework for Robust Network Intrusion Detection. | Swetha Krishna Sriram, Aneesh Sreevallabh Chivukula, Vijayalakshmi Anand |
| 2025 | HiPC | A Robust Course Recommendation Model with Adversarial Training of Factorization Machines. | Sai Poorna Parikshit Dashetwar, Aneesh Sreevallabh Chivukula, Apurba Das |
| 2025 | HiPC | On the Adversarial Robustness of Efficient KANs. | Swetha Krishna Sriram, Aneesh Sreevallabh Chivukula, Anup Bera |
| 2020 | ICONIP | Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach Using Under-Sampling and Class Weighting. | Ayush Agarwal, Aneesh Sreevallabh Chivukula, Monowar H. Bhuyan, Tony Jan, Bhuva Narayan, Mukesh Prasad |
| 2019 | ICONIP | Adversarial Deep Learning with Stackelberg Games. | Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu |
| 2017 | IJCNN | Adversarial learning games with deep learning models. | Aneesh Sreevallabh Chivukula, Wei Liu |
| 2013 | PAKDD | A New Feature Selection and Feature Contrasting Approach Based on Quality Metric: Application to Efficient Classification of Complex Textual Data. | Jean-Charles Lamirel, Pascal Cuxac, Aneesh Sreevallabh Chivukula, Kafil Hajlaoui |