Membership Model Inversion Attacks for Deep Networks. - Samyadeep Basu; Rauf Izmailov; Chris Mesterharm (CoRR, 2019)

On Second-Order Group Influence Functions for Black-Box Predictions. - Samyadeep Basu; Xuchen You; Soheil Feizi (ICML, 2020)

Influence Functions in Deep Learning Are Fragile. - Samyadeep Basu; Phillip Pope; Soheil Feizi (ICLR, 2021)

Privacy Leakage Avoidance with Switching Ensembles. - Rauf Izmailov; Peter Lin; Chris Mesterharm; Samyadeep Basu (MILCOM, 2021)

Semi-Supervised Few-Shot Intent Classification and Slot Filling. - Samyadeep Basu; Karine lp Kiun Chong; Amr Sharaf; Alex Fischer; Vishal Rohra; Michael Amoake; Hazem El-Hammamy; Ehi Nosakhare; Vijay Ramani; Benjamin Han (CoRR, 2021)

On Hard Episodes in Meta-Learning. - Samyadeep Basu; Amr Sharaf; Nicolò Fusi; Soheil Feizi (CoRR, 2021)

Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats. - Reshmi Ghosh; Harjeet Singh Kajal; Sharanya Kamath; Dhuri Shrivastava; Samyadeep Basu; Soundararajan Srinivasan (CoRR, 2022)

On Surgical Fine-tuning for Language Encoders. - Abhilasha Lodha; Gayatri Belapurkar; Saloni Chalkapurkar; Yuanming Tao; Reshmi Ghosh; Samyadeep Basu; Dmitrii Petrov; Soundararajan Srinivasan (EMNLP (Findings), 2023)

Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks. - Samyadeep Basu; Megan Stanley; John Bronskill; Soheil Feizi; Daniela Massiceti (ICLR, 2023)

Augmenting CLIP with Improved Visio-Linguistic Reasoning. - Samyadeep Basu; Maziar Sanjabi; Daniela Massiceti; Shell Xu Hu; Soheil Feizi (CoRR, 2023)

EditVal: Benchmarking Diffusion Based Text-Guided Image Editing Methods. - Samyadeep Basu; Mehrdad Saberi; Shweta Bhardwaj; Atoosa Malemir Chegini; Daniela Massiceti; Maziar Sanjabi; Shell Xu Hu; Soheil Feizi (CoRR, 2023)

Topic Segmentation of Semi-Structured and Unstructured Conversational Datasets using Language Models. - Reshmi Ghosh; Harjeet Singh Kajal; Sharanya Kamath; Dhuri Shrivastava; Samyadeep Basu; Hansi Zeng; Soundararajan Srinivasan (CoRR, 2023)

Strong Baselines for Parameter-Efficient Few-Shot Fine-Tuning. - Samyadeep Basu; Shell Xu Hu; Daniela Massiceti; Soheil Feizi (AAAI, 2024)

Distilling Knowledge from Text-to-Image Generative Models Improves Visio-Linguistic Reasoning in CLIP. - Samyadeep Basu; Shell Xu Hu; Maziar Sanjabi; Daniela Massiceti; Soheil Feizi (EMNLP, 2024)

IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning. - Soumya Suvra Ghosal; Samyadeep Basu; Soheil Feizi; Dinesh Manocha (EMNLP, 2024)

Localizing and Editing Knowledge In Text-to-Image Generative Models. - Samyadeep Basu; Nanxuan Zhao; Vlad I. Morariu; Soheil Feizi; Varun Manjunatha (ICLR, 2024)

On Mechanistic Knowledge Localization in Text-to-Image Generative Models. - Samyadeep Basu; Keivan Rezaei; Priyatham Kattakinda; Vlad I. Morariu; Nanxuan Zhao; Ryan A. Rossi; Varun Manjunatha; Soheil Feizi (ICML, 2024)

Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP. - Sriram Balasubramanian; Samyadeep Basu; Soheil Feizi (NeurIPS, 2024)

Understanding Information Storage and Transfer in Multi-Modal Large Language Models. - Samyadeep Basu; Martin Grayson; Cecily Morrison; Besmira Nushi; Soheil Feizi; Daniela Massiceti (NeurIPS, 2024)

On Mechanistic Knowledge Localization in Text-to-Image Generative Models. - Samyadeep Basu; Keivan Rezaei; Priyatham Kattakinda; Ryan A. Rossi; Cherry Zhao; Vlad I. Morariu; Varun Manjunatha; Soheil Feizi (CoRR, 2024)

Understanding and Mitigating Compositional Issues in Text-to-Image Generative Models. - Arman Zarei; Keivan Rezaei; Samyadeep Basu; Mehrdad Saberi; Mazda Moayeri; Priyatham Kattakinda; Soheil Feizi (CoRR, 2024)

From RAGs to rich parameters: Probing how language models utilize external knowledge over parametric information for factual queries. - Hitesh Wadhwa; Rahul Seetharaman; Somyaa Aggarwal; Reshmi Ghosh; Samyadeep Basu; Soundararajan Srinivasan; Wenlong Zhao 001; Shreyas Chaudhari; Ehsan Aghazadeh (CoRR, 2024)

Quantifying reliance on external information over parametric knowledge during Retrieval Augmented Generation (RAG) using mechanistic analysis. - Reshmi Ghosh; Rahul Seetharaman; Hitesh Wadhwa; Somyaa Aggarwal; Samyadeep Basu; Soundararajan Srinivasan; Wenlong Zhao 001; Shreyas Chaudhari; Ehsan Aghazadeh (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

Survey of User Interface Design and Interaction Techniques in Generative AI Applications. - Reuben Luera; Ryan A. Rossi; Alexa F. Siu; Franck Dernoncourt; Tong Yu 001; Sungchul Kim; Ruiyi Zhang 002; Xiang Chen; Hanieh Salehy; Jian Zhao 010; Samyadeep Basu; Puneet Mathur; et al. (CoRR, 2024)

Rethinking Artistic Copyright Infringements In the Era Of Text-to-Image Generative Models. - Mazda Moayeri; Sriram Balasubramanian; Samyadeep Basu; Priyatham Kattakinda; Atoosa Malemir Chegini; Robert Brauneis; Soheil Feizi (ICLR, 2025)

Mitigating Compositional Failures in Text-to-Image Models with Causal Text Embedding Refinement. - Arman Zarei; Keivan Rezaei; Samyadeep Basu; Mehrdad Saberi; Mazda Moayeri; Priyatham Kattakinda; Adrienne Raglin; Anjon Basak; Soheil Feizi (PerCom Workshops, 2025)

On Mechanistic Circuits for Extractive Question-Answering. - Samyadeep Basu; Vlad I. Morariu; Zichao Wang 001; Ryan A. Rossi; Cherry Zhao; Soheil Feizi; Varun Manjunatha (CoRR, 2025)

A Survey on Mechanistic Interpretability for Multi-Modal Foundation Models. - Zihao Lin 003; Samyadeep Basu; Mohammad Beigi; Varun Manjunatha; Ryan A. Rossi; Zichao Wang 001; Yufan Zhou 001; Sriram Balasubramanian; Arman Zarei; Keivan Rezaei; Ying Shen 006; Barry Menglong Yao; et al. (CoRR, 2025)

A Personalized Conversational Benchmark: Towards Simulating Personalized Conversations. - Li Li 006; Peilin Cai; Ryan A. Rossi; Franck Dernoncourt; Branislav Kveton; Junda Wu; Tong Yu 001; Linxin Song; Tiankai Yang 001; Yuehan Qin; Nesreen K. Ahmed; Samyadeep Basu; et al. (CoRR, 2025)

Localizing Knowledge in Diffusion Transformers. - Arman Zarei; Samyadeep Basu; Keivan Rezaei; Zihao Lin 003; Sayan Nag; Soheil Feizi (CoRR, 2025)

A Closer Look at Bias and Chain-of-Thought Faithfulness of Large (Vision) Language Models. - Sriram Balasubramanian; Samyadeep Basu; Soheil Feizi (CoRR, 2025)

Hop, Skip, and Overthink: Diagnosing Why Reasoning Models Fumble during Multi-Hop Analysis. - Anushka Yadav; Isha Nalawade; Srujana Pillarichety; Yashwanth Babu; Reshmi Ghosh; Samyadeep Basu; Wenlong Zhao 001; Ali Nasaeh; Sriram Balasubramanian; Soundararajan Srinivasan (CoRR, 2025)