Anshuman Chhabra

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Clustering Algorithm

Probabilistic Modeling

Top Venues

Publications

Anshuman Chhabra, Hadi Askari, Prasant Mohapatra
Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias. CoRR (2024)
Hadi Askari, Anshuman Chhabra, Muhao Chen, Prasant Mohapatra
Assessing LLMs for Zero-shot Abstractive Summarization Through the Lens of Relevance Paraphrasing. CoRR (2024)
Anshuman Chhabra, Bo Li, Jian Chen, Prasant Mohapatra, Hongfu Liu
Outlier Gradient Analysis: Efficiently Improving Deep Learning Model Performance via Hessian-Free Influence Functions. CoRR (2024)
Hadi Askari, Anshuman Chhabra, Bernhard Clemm von Hohenberg, Michael Heseltine, Magdalena Wojcieszak
Incentivizing News Consumption on Social Media Platforms Using Large Language Models and Realistic Bot Accounts. CoRR (2024)
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
"What Data Benefits My Classifier?" Enhancing Model Performance and Interpretability through Influence-Based Data Selection. ICLR (2024)
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. ICLR (2023)
Anshuman Chhabra, Kartik Patwari, Chandana Kuntala, Sristi, Deepak Kumar Sharma, Prasant Mohapatra
Towards Fair Video Summarization. Trans. Mach. Learn. Res. 2023 (2023)
Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses. NeurIPS (2022)
Muhammad Haroon, Anshuman Chhabra, Xin Liu, Prasant Mohapatra, Zubair Shafiq, Magdalena Wojcieszak
YouTube, The Great Radicalizer? Auditing and Mitigating Ideological Biases in YouTube Recommendations. CoRR (2022)
Anshuman Chhabra, Peizhao Li, Prasant Mohapatra, Hongfu Liu
Robust Fair Clustering: A Novel Fairness Attack and Defense Framework. CoRR (2022)
Anshuman Chhabra, Prasant Mohapatra
Fair Algorithms for Hierarchical Agglomerative Clustering. ICMLA (2022)
Anshuman Chhabra, Ashwin Sekhari, Prasant Mohapatra
On the Robustness of Deep Clustering Models: Adversarial Attacks and Defenses. CoRR (2022)
Anshuman Chhabra, Prasant Mohapatra
Moving Target Defense against Adversarial Machine Learning. MTD@CCS (2021)
Anshuman Chhabra, Adish Singla, Prasant Mohapatra
Fair Clustering Using Antidote Data. CoRR (2021)
Anshuman Chhabra, Adish Singla, Prasant Mohapatra
Fairness Degrading Adversarial Attacks Against Clustering Algorithms. CoRR (2021)
Mehul Sharma, Shrid Pant, Deepak Kumar Sharma, Koyel Datta Gupta, Vidushi Vashishth, Anshuman Chhabra
Enabling security for the Industrial Internet of Things using deep learning, blockchain, and coalitions. Trans. Emerg. Telecommun. Technol. 32 (7) (2021)
Anshuman Chhabra, Adish Singla, Prasant Mohapatra
Fair Clustering Using Antidote Data. AFCR (2021)
Anshuman Chhabra, Karina Masalkovaite, Prasant Mohapatra
An Overview of Fairness in Clustering. IEEE Access 9 (2021)
Deepak Kumar Sharma, Joel J. P. C. Rodrigues, Vidushi Vashishth, Anirudh Khanna, Anshuman Chhabra
RLProph: a dynamic programming based reinforcement learning approach for optimal routing in opportunistic IoT networks. Wirel. Networks 26 (6) (2020)
Anshuman Chhabra, Prasant Mohapatra
Fair Algorithms for Hierarchical Agglomerative Clustering. CoRR (2020)
Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra
Suspicion-Free Adversarial Attacks on Clustering Algorithms. AAAI (2020)
Abhishek Roy, Anshuman Chhabra, Charles A. Kamhoua, Prasant Mohapatra
A moving target defense against adversarial machine learning. SEC (2019)
Anshuman Chhabra, Abhishek Roy, Prasant Mohapatra
Suspicion-Free Adversarial Attacks on Clustering Algorithms. CoRR (2019)
Vidushi Vashishth, Anshuman Chhabra, Deepak Kumar Sharma
A Machine Learning Approach Using Classifier Cascades for Optimal Routing in Opportunistic Internet of Things Networks. SECON (2019)
Vidushi Vashishth, Anshuman Chhabra, Deepak Kumar Sharma
GMMR: A Gaussian mixture model based unsupervised machine learning approach for optimal routing in opportunistic IoT networks. Comput. Commun. 134 (2019)
Mariam Kiran, Anshuman Chhabra
Understanding flows in high-speed scientific networks: A Netflow data study. Future Gener. Comput. Syst. 94 (2019)
Satvik Jain, Arun Balaji Buduru, Anshuman Chhabra
An approach to predictively securing critical cloud infrastructures through probabilistic modeling. CoRR (2018)
Anshuman Chhabra, Vidushi Vashishth, Deepak Kumar Sharma
A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks. Int. J. Commun. Syst. 31 (4) (2018)
Anshuman Chhabra, Vidushi Vashishth, Anirudh Khanna, Deepak Kumar Sharma, Jyotsna Singh
An Energy Efficient Routing Protocol for Wireless Internet-of-Things Sensor Networks. CoRR (2018)
Anshuman Chhabra, Vidushi Vashishth, Deepak Kumar Sharma
A game theory based secure model against Black hole attacks in Opportunistic Networks. CISS (2017)
Anshuman Chhabra, Vidushi Vashishth, Deepak Kumar Sharma
SEIR: A Stackelberg game based approach for energy-aware and incentivized routing in selfish Opportunistic Networks. CISS (2017)
Anshuman Chhabra, Shivam Arora
An Elliptic Curve Cryptography Based Encryption Scheme for Securing the Cloud against Eavesdropping Attacks. CIC (2017)