Bishwamittra Ghosh

33 papers A* 6A 3C 1Journal 21Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations. CoRR Mohammad Aflah Khan, Mahsa Amani, Soumi Das, Bishwamittra Ghosh, Qinyuan Wu, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander
2025	A*	`conf`	Active Fourier Auditor for Estimating Distributional Properties of ML Models. AAAI Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu
2025	A	`conf`	History-Aware and Dynamic Client Contribution in Federated Learning. ECAI Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2025	A*	`conf`	Logical Consistency of Large Language Models in Fact-Checking. ICLR Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan
2025	J	`jnl`	Rethinking Memorization Measures and their Implications in Large Language Models. CoRR Bishwamittra Ghosh, Soumi Das, Qinyuan Wu, Mohammad Aflah Khan, Krishna P. Gummadi, Evimaria Terzi, Deepak Garg
2025	J	`jnl`	Revisiting Privacy, Utility, and Efficiency Trade-offs when Fine-Tuning Large Language Models. CoRR Soumi Das, Camila Kolling, Mohammad Aflah Khan, Mahsa Amani, Bishwamittra Ghosh, Qinyuan Wu, Till Speicher, Krishna P. Gummadi
2025	J	`jnl`	Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs. CoRR Qinyuan Wu, Soumi Das, Mahsa Amani, Bishwamittra Ghosh, Mohammad Aflah Khan, Krishna P. Gummadi, Muhammad Bilal Zafar
2025	A	`conf`	Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge Extraction. WSDM Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
2024	J	`jnl`	Active Fourier Auditor for Estimating Distributional Properties of ML Models. CoRR Ayoub Ajarra, Bishwamittra Ghosh, Debabrota Basu
2024	J	`jnl`	Don't Forget What I did?: Assessing Client Contributions in Federated Learning. CoRR Bishwamittra Ghosh, Debabrota Basu, Huazhu Fu, Yuan Wang, Renuga Kanagavelu, Jinpeng Jiang, Yong Liu, Rick Siow Mong Goh, Qingsong Wei
2024	J	`jnl`	Logical Consistency of Large Language Models in Fact-checking. CoRR Bishwamittra Ghosh, Sarah Hasan, Naheed Anjum Arafat, Arijit Khan
2024	—	`conf`	Split Learning of Multi-Modal Medical Image Classification. CAI Bishwamittra Ghosh, Yuan Wang, Huazhu Fu, Qingsong Wei, Yong Liu, Rick Siow Mong Goh
2024	J	`jnl`	Towards Reliable Latent Knowledge Estimation in LLMs: In-Context Learning vs. Prompting Based Factual Knowledge Extraction. CoRR Qinyuan Wu, Mohammad Aflah Khan, Soumi Das, Vedant Nanda, Bishwamittra Ghosh, Camila Kolling, Till Speicher, Laurent Bindschaedler, Krishna P. Gummadi, Evimaria Terzi
2024	J	`jnl`	Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications. CoRR Till Speicher, Mohammad Aflah Khan, Qinyuan Wu, Vedant Nanda, Soumi Das, Bishwamittra Ghosh, Krishna P. Gummadi, Evimaria Terzi
2023	—	`conf`	"How Biased are Your Features?": Computing Fairness Influence Functions with Global Sensitivity Analysis. FAccT Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2023	A*	`conf`	Interpretability and Fairness in Machine Learning: A Formal Methods Approach. IJCAI Bishwamittra Ghosh
2023	J	`jnl`	Neighborhood-based Hypergraph Core Decomposition. CoRR Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh
2023	J	`jnl`	Neighborhood-based Hypergraph Core Decomposition. Proc. VLDB Endow. Naheed Anjum Arafat, Arijit Khan, Arpit Kumar Rai, Bishwamittra Ghosh
2022	A*	`conf`	Algorithmic Fairness Verification with Graphical Models. AAAI Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2022	J	`jnl`	Efficient Learning of Interpretable Classification Rules. CoRR Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
2022	J	`jnl`	Efficient Learning of Interpretable Classification Rules. J. Artif. Intell. Res. Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
2022	J	`jnl`	How Biased is Your Feature?: Computing Fairness Influence Functions with Global Sensitivity Analysis. CoRR Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2022	J	`jnl`	Social-Spatial Group Queries with Keywords. ACM Trans. Spatial Algorithms Syst. Sajid Hasan Apon, Mohammed Eunus Ali, Bishwamittra Ghosh, Timos Sellis
2021	J	`jnl`	Algorithmic Fairness Verification with Graphical Models. CoRR Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2021	A*	`conf`	Justicia: A Stochastic SAT Approach to Formally Verify Fairness. AAAI Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2020	J	`jnl`	A Formal Language Approach to Explaining RNNs. CoRR Bishwamittra Ghosh, Daniel Neider
2020	A*	`conf`	A MaxSAT-Based Framework for Group Testing. AAAI Lorenzo Ciampiconi, Bishwamittra Ghosh, Jonathan Scarlett, Kuldeep S. Meel
2020	A	`conf`	Classification Rules in Relaxed Logical Form. ECAI Bishwamittra Ghosh, Dmitry Malioutov, Kuldeep S. Meel
2020	J	`jnl`	IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules. CoRR Bishwamittra Ghosh, Kuldeep S. Meel
2020	J	`jnl`	Justicia: A Stochastic SAT Approach to Formally Verify Fairness. CoRR Bishwamittra Ghosh, Debabrota Basu, Kuldeep S. Meel
2020	J	`jnl`	Probably Approximately Correct Explanations of Machine Learning Models via Syntax-Guided Synthesis. CoRR Daniel Neider, Bishwamittra Ghosh
2019	C	`conf`	IMLI: An Incremental Framework for MaxSAT-Based Learning of Interpretable Classification Rules. AIES Bishwamittra Ghosh, Kuldeep S. Meel
2018	J	`jnl`	The Flexible Socio Spatial Group Queries. Proc. VLDB Endow. Bishwamittra Ghosh, Mohammed Eunus Ali, Farhana Murtaza Choudhury, Sajid Hasan Apon, Timos Sellis, Jianxin Li