Anshuman Chhabra

According to our database, Anshuman Chhabra authored at least 23 papers between 2017 and 2024.

Collaborative distances:

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

2024

Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts.

Hadi Askari, Anshuman Chhabra, Bernhard Clemm von Hohenberg, Michael Heseltine, Magdalena Wojcieszak

CoRR, 2024

Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias.

Anshuman Chhabra, Hadi Askari, Prasant Mohapatra

CoRR, 2024

2023

Robust Fair Clustering: A Novel Fairness Attack and Defense Framework.

Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations.

Muhammad Haroon, Anshuman Chhabra, Xin Liu, Prasant Mohapatra, Zubair Shafiq, Magdalena Wojcieszak

CoRR, 2022

On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses.

Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fair Algorithms for Hierarchical Agglomerative Clustering.

Anshuman Chhabra, Prasant Mohapatra

Proceedings of the 21st IEEE International Conference on Machine Learning and Applications, 2022

2021

Enabling security for the Industrial Internet of Things using deep learning, blockchain, and coalitions.

Mehul Sharma, Shrid Pant, Deepak Kumar Sharma, Koyel Datta Gupta, Vidushi Vashishth, Anshuman Chhabra

Trans. Emerg. Telecommun. Technol., 2021

Fairness Degrading Adversarial Attacks Against Clustering Algorithms.

Anshuman Chhabra, Adish Singla, Prasant Mohapatra

CoRR, 2021

An Overview of Fairness in Clustering.

Anshuman Chhabra, Karina Masalkovaite, Prasant Mohapatra

IEEE Access, 2021

Moving Target Defense against Adversarial Machine Learning.

Anshuman Chhabra, Prasant Mohapatra

Proceedings of the MTD@CCS 2021: Proceedings of the 8th ACM Workshop on Moving Target Defense, 2021

Fair Clustering Using Antidote Data.

Anshuman Chhabra, Adish Singla, Prasant Mohapatra

Proceedings of the Algorithmic Fairness through the Lens of Causality and Robustness Workshop, 2021

2020

RLProph: a dynamic programming based reinforcement learning approach for optimal routing in opportunistic IoT networks.

Deepak Kumar Sharma, Joel J. P. C. Rodrigues, Vidushi Vashishth, Anirudh Khanna, Anshuman Chhabra

Wirel. Networks, 2020

Suspicion-Free Adversarial Attacks on Clustering Algorithms.

Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Understanding flows in high-speed scientific networks: A Netflow data study.

Mariam Kiran, Anshuman Chhabra

Future Gener. Comput. Syst., 2019

GMMR: A Gaussian mixture model based unsupervised machine learning approach for optimal routing in opportunistic IoT networks.

Vidushi Vashishth, Anshuman Chhabra, Deepak Kumar Sharma

Comput. Commun., 2019

A Machine Learning Approach Using Classifier Cascades for Optimal Routing in Opportunistic Internet of Things Networks.

Vidushi Vashishth, Anshuman Chhabra, Deepak Kumar Sharma

Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019

A moving target defense against adversarial machine learning.

Abhishek Roy, Anshuman Chhabra, Charles A. Kamhoua, Prasant Mohapatra

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018

A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks.

Anshuman Chhabra, Vidushi Vashishth, Deepak Kumar Sharma

Int. J. Commun. Syst., 2018

An approach to predictively securing critical cloud infrastructures through probabilistic modeling.

Satvik Jain, Arun Balaji Buduru, Anshuman Chhabra

CoRR, 2018

An Energy Efficient Routing Protocol for Wireless Internet-of-Things Sensor Networks.

Anshuman Chhabra, Vidushi Vashishth, Anirudh Khanna, Deepak Kumar Sharma, Jyotsna Singh

CoRR, 2018

2017

An Elliptic Curve Cryptography Based Encryption Scheme for Securing the Cloud against Eavesdropping Attacks.

Anshuman Chhabra, Shivam Arora

Proceedings of the 3rd IEEE International Conference on Collaboration and Internet Computing, 2017

A game theory based secure model against Black hole attacks in Opportunistic Networks.

Anshuman Chhabra, Vidushi Vashishth, Deepak Kumar Sharma

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

SEIR: A Stackelberg game based approach for energy-aware and incentivized routing in selfish Opportunistic Networks.

Anshuman Chhabra, Vidushi Vashishth, Deepak Kumar Sharma

Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017