Aneesh Sreevallabh Chivukula

According to our database, Aneesh Sreevallabh Chivukula authored at least 13 papers between 2011 and 2024.

Collaborative distances:

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

2024

Off-policy actor-critic deep reinforcement learning methods for alert prioritization in intrusion detection systems.

Lalitha Chavali, Abhinav Krishnan, Paresh Saxena, Barsha Mitra, Aneesh Sreevallabh Chivukula

Comput. Secur., 2024

2021

Game Theoretical Adversarial Deep Learning With Variational Adversaries.

Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu, Tianqing Zhu, Wanlei Zhou

IEEE Trans. Knowl. Data Eng., 2021

Stock Market Analysis with Text Data: A Review.

Kamaladdin Fataliyev, Aneesh Sreevallabh Chivukula, Mukesh Prasad, Wei Liu

CoRR, 2021

2020

Game theoretical adversarial deep learning algorithms for robust neural network models

Aneesh Sreevallabh Chivukula

PhD thesis, 2020

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

Proceedings of the Neural Information Processing - 27th International Conference, 2020

2019

Adversarial Deep Learning Models with Multiple Adversaries.

Aneesh Sreevallabh Chivukula, Wei Liu

IEEE Trans. Knowl. Data Eng., 2019

Adversarial Deep Learning with Stackelberg Games.

Aneesh Sreevallabh Chivukula, Xinghao Yang, Wei Liu

Proceedings of the Neural Information Processing - 26th International Conference, 2019

2018

Discovering Granger-Causal Features from Deep Learning Networks.

Aneesh Sreevallabh Chivukula, Jun Li, Wei Liu

Proceedings of the AI 2018: Advances in Artificial Intelligence, 2018

2017

Adversarial learning games with deep learning models.

Aneesh Sreevallabh Chivukula, Wei Liu

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

2015

Optimizing text classification through efficient feature selection based on quality metric.

Jean-Charles Lamirel, Pascal Cuxac, Aneesh Sreevallabh Chivukula, Kafil Hajlaoui

J. Intell. Inf. Syst., 2015

2014

Maximum Entropy Based Associative Regression for Sparse Datasets.

Aneesh Sreevallabh Chivukula, Vikram Pudi

Proceedings of the 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), Warsaw, Poland, August 11-14, 2014, 2014

2013

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

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

2011

Eucalyptus Cloud to Remotely Provision e-Governance Applications.

Sreerama Prabhu Chivukula, Rajasekhar Krovvidi, Aneesh Sreevallabh Chivukula

J. Comput. Networks Commun., 2011