PROVERB: The Probabilistic Cruciverbalist. - Greg A. Keim; Noam M. Shazeer; Michael L. Littman; Sushant Agarwal; Catherine M. Cheves; Joseph Fitzgerald; Jason Grosland; Fan Jiang; Shannon Pollard; Karl Weinmeister (AAAI/IAAI, 1999)

Developing a Structured Metric to Measure Privacy Risk in Privacy Impact Assessments. - Sushant Agarwal (Privacy and Identity Management, 2015)

Legislative Compliance Assessment: Framework, Model and GDPR Instantiation. - Sushant Agarwal; Simon Steyskal; Franjo Antunovic; Sabrina Kirrane (APF, 2018)

Privacy in Location-Sensing Technologies. - Andreas Solti; Sushant Agarwal; Sarah Spiekermann-Hoff (Handbook of Mobile Data Privacy, 2018)

On Learnability wih Computable Learners. - Sushant Agarwal; Nivasini Ananthakrishnan; Shai Ben-David; Tosca Lechner; Ruth Urner (ALT, 2020)

Open Problem: Are all VC-classes CPAC learnable? - Sushant Agarwal; Nivasini Ananthakrishnan; Shai Ben-David; Tosca Lechner; Ruth Urner (COLT, 2021)

Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. - Sushant Agarwal; Shahin Jabbari; Chirag Agarwal; Sohini Upadhyay; Steven Wu 001; Himabindu Lakkaraju (ICML, 2021)

A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. - Jasjit S. Suri; Sushant Agarwal; Suneet K. Gupta 001; Anudeep Puvvula; Mainak Biswas; Luca Saba; Arindam Bit; Gopal S. Tandel; Mohit Agarwal 003; Anubhav Patrick; Gavino Faa; Inder M. Singh; et al. (Comput. Biol. Medicine, 2021)

Impossibility results for fair representations. - Tosca Lechner; Shai Ben-David; Sushant Agarwal; Nivasini Ananthakrishnan (CoRR, 2021)

Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. - Jasjit S. Suri; Sushant Agarwal; Suneet K. Gupta 001; Anudeep Puvvula; Klaudija Viskovic; Neha Suri; Azra Alizad; Ayman El-Baz; Luca Saba; Mostafa Fatemi; D. Subbaram Naidu (IEEE J. Biomed. Health Informatics, 2021)

On the Power of Randomization in Fair Classification and Representation. - Sushant Agarwal; Amit Deshpande 001 (FAccT, 2022)

Eight pruning deep learning models for low storage and high-speed COVID-19 computed tomography lung segmentation and heatmap-based lesion localization: A multicenter study using COVLIAS 2.0. - Mohit Agarwal 003; Sushant Agarwal; Luca Saba; Gian Luca Chabert; Suneet K. Gupta 001; Alessandro Carriero; Alessio Pasche; Pietro Danna; Armin Mehmedovic; Gavino Faa; Saurabh Shrivastava; Kanishka Jain; et al. (Comput. Biol. Medicine, 2022)

UNet Deep Learning Architecture for Segmentation of Vascular and Non-Vascular Images: A Microscopic Look at UNet Components Buffered With Pruning, Explainable Artificial Intelligence, and Bias. - Jasjit S. Suri; Mrinalini Bhagawati; Sushant Agarwal; Sudip Paul; Amit Pandey; Suneet K. Gupta 001; Luca Saba; Kosmas I. Paraskevas; Narendra N. Khanna; John R. Laird; Amer M. Johri; Manudeep K. Kalra; et al. (IEEE Access, 2023)

Aggregating Data for Optimal and Private Learning. - Sushant Agarwal; Yukti Makhija; Rishi Saket; Aravindan Raghuveer (CoRR, 2024)

COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. - Sushant Agarwal; Sanjay Saxena; Alessandro Carriero; Gian Luca Chabert; Gobinath Ravindran; Sudip Paul; John R. Laird; Deepak Garg 002; Mostafa Fatemi; Lopamudra Mohanty; Arun Kumar Dubey; Rajesh Singh; et al. (Frontiers Artif. Intell., 2024)

Private Mean Estimation with Person-Level Differential Privacy. - Sushant Agarwal; Gautam Kamath 001; Mahbod Majid; Argyris Mouzakis; Rose Silver; Jonathan R. Ullman (SODA, 2025)

Aggregating Data for Optimal Learning. - Sushant Agarwal; Yukti Makhija; Rishi Saket; Aravindan Raghuveer (UAI, 2025)