Sushant Agarwal

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 14

Top Topics

Differential Privacy

Biomedical Imaging

Top Venues

Comput. Biol. Medicine

Publications

Sushant Agarwal, Gautam Kamath, Mahbod Majid, Argyris Mouzakis, Rose Silver, Jonathan R. Ullman
Private Mean Estimation with Person-Level Differential Privacy. CoRR (2024)
Sushant Agarwal, Amit Deshpande
On the Power of Randomization in Fair Classification and Representation. CoRR (2024)
Sushant Agarwal, Sanjay Saxena, Alessandro Carriero, Gian Luca Chabert, Gobinath Ravindran, Sudip Paul, John R. Laird, Deepak Garg, Mostafa Fatemi, Lopamudra Mohanty, Arun K. Dubey, Rajesh Singh, Mostafa M. Fouda, Narpinder Singh, Subbaram Naidu, Klaudija Viskovic, Melita Kukuljan, Manudeep K. Kalra, Luca Saba, Jasjit S. Suri
COVLIAS 3.0: cloud-based quantized hybrid UNet3+ deep learning for COVID-19 lesion detection in lung computed tomography. Frontiers Artif. Intell. 7 (2024)
Jasjit S. Suri, Mrinalini Bhagawati, Sushant Agarwal, Sudip Paul, Amit Pandey, Suneet K. Gupta, Luca Saba, Kosmas I. Paraskevas, Narendra N. Khanna, John R. Laird, Amer M. Johri, Manudeep K. Kalra, Mostafa M. Fouda, Mostafa Fatemi, Subbaram Naidu
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. IEEE Access 11 (2023)
Sushant Agarwal, Amit Deshpande
On the Power of Randomization in Fair Classification and Representation. FAccT (2022)
Mohit Agarwal, Sushant Agarwal, Luca Saba, Gian Luca Chabert, Suneet K. Gupta, Alessandro Carriero, Alessio Pasche, Pietro Danna, Armin Mehmedovic, Gavino Faa, Saurabh Shrivastava, Kanishka Jain, Harsh Jain, Tanay Jujaray, Inder M. Singh, Monika Turk, Paramjit S. Chadha, Amer M. Johri, Narendra N. Khanna, Sophie Mavrogeni, John R. Laird, David W. Sobel, Martin Miner, Antonella Balestrieri, Petros P. Sfikakis, George Tsoulfas, Durga Prasanna Misra, Vikas Agarwal, George D. Kitas, Jagjit S. Teji, Mustafa Al-Maini, Surinder K. Dhanjil, Andrew Nicolaides, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Pudukode R. Krishnan, Rajanikant R. Yadav, Frence Nagy, Zsigmond Tamás Kincses, Zoltan Ruzsa, Subbaram Naidu, Klaudija Viskovic, Manudeep K. Kalra, Jasjit S. Suri
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. Comput. Biol. Medicine 146 (2022)
Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner
Open Problem: Are all VC-classes CPAC learnable? COLT (2021)
Jasjit S. Suri, Sushant Agarwal, Suneet Kr. Gupta, Anudeep Puvvula, Klaudija Viskovic, Neha Suri, Azra Alizad, Ayman El-Baz, Luca Saba, Mostafa Fatemi, D. Subbaram Naidu
Systematic Review of Artificial Intelligence in Acute Respiratory Distress Syndrome for COVID-19 Lung Patients: A Biomedical Imaging Perspective. IEEE J. Biomed. Health Informatics 25 (11) (2021)
Jasjit S. Suri, Sushant Agarwal, Suneet Kr. Gupta, Anudeep Puvvula, Mainak Biswas, Luca Saba, Arindam Bit, Gopal S. Tandel, Mohit Agarwal, Anubhav Patrick, Gavino Faa, Inder M. Singh, Ronald Oberleitner, Monika Turk, Paramjit S. Chadha, Amer M. Johri, J. Miguel Sanches, Narendra N. Khanna, D. Subbaram Naidu
A narrative review on characterization of acute respiratory distress syndrome in COVID-19-infected lungs using artificial intelligence. Comput. Biol. Medicine 130 (2021)
Tosca Lechner, Shai Ben-David, Sushant Agarwal, Nivasini Ananthakrishnan
Impossibility results for fair representations. CoRR (2021)
Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu, Himabindu Lakkaraju
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. ICML (2021)
Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Zhiwei Steven Wu, Himabindu Lakkaraju
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations. CoRR (2021)
Sushant Agarwal, Nivasini Ananthakrishnan, Shai Ben-David, Tosca Lechner, Ruth Urner
On Learnability wih Computable Learners. ALT (2020)
Sushant Agarwal, Simon Steyskal, Franjo Antunovic, Sabrina Kirrane
Legislative Compliance Assessment: Framework, Model and GDPR Instantiation. APF (2018)
Sushant Agarwal
Developing a Structured Metric to Measure Privacy Risk in Privacy Impact Assessments. Privacy and Identity Management (2015)
Greg A. Keim, Noam M. Shazeer, Michael L. Littman, Sushant Agarwal, Catherine M. Cheves, Joseph Fitzgerald, Jason Grosland, Fan Jiang, Shannon Pollard, Karl Weinmeister
PROVERB: The Probabilistic Cruciverbalist. AAAI/IAAI (1999)