Anshuman Chhabra
Orcid: 0000-0001-9376-2896
According to our database1,
Anshuman Chhabra
authored at least 29 papers
between 2017 and 2025.
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Bibliography
2025
CoRR, January, 2025
2024
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing.
CoRR, 2024
Outlier Gradient Analysis: Efficiently Improving Deep Learning Model Performance via Hessian-Free Influence Functions.
CoRR, 2024
Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts.
CoRR, 2024
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
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.
Trans. Emerg. Telecommun. Technol., 2021
Proceedings of the MTD@CCS 2021: Proceedings of the 8th ACM Workshop on Moving Target Defense, 2021
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.
Wirel. Networks, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Future Gener. Comput. Syst., 2019
GMMR: A Gaussian mixture model based unsupervised machine learning approach for optimal routing in opportunistic IoT networks.
Comput. Commun., 2019
A Machine Learning Approach Using Classifier Cascades for Optimal Routing in Opportunistic Internet of Things Networks.
Proceedings of the 16th Annual IEEE International Conference on Sensing, 2019
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.
Int. J. Commun. Syst., 2018
An approach to predictively securing critical cloud infrastructures through probabilistic modeling.
CoRR, 2018
An Energy Efficient Routing Protocol for Wireless Internet-of-Things Sensor Networks.
CoRR, 2018
2017
An Elliptic Curve Cryptography Based Encryption Scheme for Securing the Cloud against Eavesdropping Attacks.
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.
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.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017