Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Tianqing Zhu, and Wanlei Zhou, ``Game Theoretical Adversarial Deep Learning with Variational Adversaries,'' IEEE Transactions on Knowledge and Data Engineering - TKDE 2020, doi:10.1109/TKDE.2020.2972320.
Aneesh Sreevallabh Chivukula, and Wei Liu, ``Adversarial Deep Learning Models with Multiple Adversaries,'' IEEE Transactions on Knowledge and Data Engineering - TKDE 2018, doi:10.1109/TKDE.2018.2851247.
Jean-Charles Lamirel, Pascal Cuxac, Aneesh Sreevallabh Chivukula, and Kafil Hajlaoui, ``Optimizing text classification through efficient feature selection based on quality metric,'' Springer's Journal of Intelligent Information Systems. - EGC 2014, Presented at 14th International Francophone Conference on Knowledge Extraction and Management.
Sreerama Prabhu Chivukula, Rajasekhar Krovvidi, and Aneesh Sreevallabh Chivukula, ``Eucalyptus Cloud to Remotely Provision e-Governance Applications,'' Journal of Computer Networks and Communications - Hindawi Publishing Corporation, vol. 2011, Article ID 268987, 15 pages,2011.doi:10.1155/2011/268987. Presented at The Open Group India Conference 2011.
Ayush Agarwal, Aneesh Sreevallabh Chivukula, Monowar H. Bhuyan, Tony Jan, Bhuva Narayan and Mukesh Prasad, ``Identification and Classification of Cyberbullying Posts: A Recurrent Neural Network Approach using Under-sampling and Class Weighting,'' Proceedings of the International Conference on Neural Information Processing - ICONIP 2020, Presented at the annual conference of the Asia-Pacific Neural Network Society.
Aneesh Sreevallabh Chivukula, Xinghao Yang and Wei Liu, ``Adversarial Deep Learning with Stackelberg Games,'' Proceedings of the International Conference on Neural Information Processing - ICONIP 2019, Presented at the annual conference of the Asia-Pacific Neural Network Society.
Aneesh Sreevallabh Chivukula, Jun Li and Wei Liu, ``Discovering Granger-Causal Features from Deep Learning Networks,'' Proceedings of 31st Australasian Joint Conference in Artificial Intelligence - AI 2018,
Aneesh Sreevallabh Chivukula, Wei Liu, ``Adversarial learning games with deep learning models,'' Proceedings of the International Joint Conference on Neural Networks - IJCNN 2017.
Aneesh Sreevallabh Chivukula, Vikram Pudi, ``A vectorized implementation for Maximum Entropy based Associative Regression,'' Proceedings of the International Conference on Soft Computing & Machine Intelligence - ISCMI 2014.
Aneesh Sreevallabh Chivukula, Vikram Pudi, ``Maximum Entropy based Associative Regression for Sparse Datasets,'' {Proceedings of the Web Intelligence Congress - WI 2014, Presented at Special Session on Complex Methods for Data and Web Mining.
Jean-Charles Lamirel, Pascal Cuxac, Aneesh Sreevallabh Chivukula, Kafil Hajlaoui, ``A new Feature Selection and Feature Contrasting approach based on Quality Metric: Application to Efficient Classification of Complex Textual Data,'' Springer's Lecture Notes in Computer Science : Trends and Applications in Knowledge Discovery and Data Mining. Proceedings of 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining - PAKDD 2013, Presented at 3rd International Workshop on Quality Issues, Measures of Interestingness and Evaluation of Data Mining Models.
Aneesh Sreevallabh Chivukula, Jean-Charles Lamirel, ``Incremental Novelty Detection applied to Complex Text Classification,'' {Proceedings of the 12th International Francophone Conference on Knowledge Extraction and Management} - EGC 2012, Presented at Atelier CIDN Classification Incrémentale et Détection de Nouveauté.
Chidambaram, J.; Prabhu, C.; Narasimha Rao, P.A.; Wankar, R.; Aneesh, C.S.; Agarwal, A.; ,"A methodology for high availability of data for business continuity planning / disaster recovery in a grid using replication in a distributed database," Trends and Developments in Converging Technology(theme : innovative technologies for societal transformation), TENCON 2008 - IEEE Region 10 Conference, pp.1-6, 19-21 Nov. 2008, doi: 10.1109/TENCON.2008.4766862.