Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack. - Pratik Karmakar; Debabrota Basu (NeurIPS, 2023)

Marich: A Query-efficient Distributionally Equivalent Model Extraction Attack using Public Data. - Pratik Karmakar; Debabrota Basu (CoRR, 2023)

Expected Shapley-Like Scores of Boolean functions: Complexity and Applications to Probabilistic Databases. - Pratik Karmakar; Mikaël Monet; Pierre Senellart; Stéphane Bressan (Proc. ACM Manag. Data, 2024)

Discovering Voting Power for Ensemble Methods. - Pratik Karmakar; Angelo Saadeh; Pierre Senellart; Stéphane Bressan (DEXA (1), 2025)

Using A Probabilistic Database in an Image Retrieval Application. - Fajrian Yunus; Pratik Karmakar; Pierre Senellart; Talel Abdessalem; Stéphane Bressan (EDBT, 2025)