• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 26 matches

• 2024
• 
  Hidayet Aksu, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon, Avinash V. Varadarajan:
  Summary Reports Optimization in the Privacy Sandbox Attribution Reporting API. Proc. Priv. Enhancing Technol. 2024(4): 605-621 (2024)
• 
  Lynn Chua, Qiliang Cui, Badih Ghazi, Charlie Harrison, Pritish Kamath, Walid Krichene, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang:
  Training Differentially Private Ad Prediction Models with Semi-Sensitive Features. CoRR abs/2401.15246 (2024)
• 2023
• 
  Carson Denison, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang:
  Private Ad Modeling with DP-SGD. AdKDD@KDD 2023
• 
  Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V. Varadarajan, Chiyuan Zhang:
  Regression with Label Differential Privacy. ICLR 2023
• 
  Ashwinkumar Badanidiyuru Varadaraja, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V. Varadarajan, Chiyuan Zhang:
  Optimal Unbiased Randomizers for Regression with Label Differential Privacy. NeurIPS 2023
• 
  Hidayet Aksu, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Adam Sealfon, Avinash V. Varadarajan:
  Summary Reports Optimization in the Privacy Sandbox Attribution Reporting API. CoRR abs/2311.13586 (2023)
• 
  Ashwinkumar Badanidiyuru, Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V. Varadarajan, Chiyuan Zhang:
  Optimal Unbiased Randomizers for Regression with Label Differential Privacy. CoRR abs/2312.05659 (2023)
• 2022
• 
  Boris Babenko, Ilana Traynis, Christina Chen, Preeti Singh, Akib Uddin, Jorge Cuadros, Lauren P. Daskivich, April Y. Maa, Kim Ramasamy, Eugene Yu-Chuan Kang, Yossi Matias, Gregory S. Corrado, Lily Peng, Dale R. Webster, Christopher Semturs, Jonathan Krause, Avinash V. Varadarajan, Naama Hammel, Yun Liu:
  Discovering novel systemic biomarkers in photos of the external eye. CoRR abs/2207.08998 (2022)
• 
  Carson Denison, Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Krishna Giri Narra, Amer Sinha, Avinash V. Varadarajan, Chiyuan Zhang:
  Private Ad Modeling with DP-SGD. CoRR abs/2211.11896 (2022)
• 
  Badih Ghazi, Pritish Kamath, Ravi Kumar, Ethan Leeman, Pasin Manurangsi, Avinash V. Varadarajan, Chiyuan Zhang:
  Regression with Label Differential Privacy. CoRR abs/2212.06074 (2022)
• 2020
• 
  Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Gregory S. Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Michael P. Brenner, Philip C. Nelson, Avinash V. Varadarajan:
  Scientific Discovery by Generating Counterfactuals Using Image Translation. MICCAI (1) 2020: 273-283
• 
  Arunachalam Narayanaswamy, Subhashini Venugopalan, Dale R. Webster, Lily Peng, Greg Corrado, Paisan Ruamviboonsuk, Pinal Bavishi, Rory Sayres, Abigail E. Huang, Siva Balasubramanian, Michael P. Brenner, Philip Q. Nelson, Avinash V. Varadarajan:
  Scientific Discovery by Generating Counterfactuals using Image Translation. CoRR abs/2007.05500 (2020)
• 
  Ashish Bora, Siva Balasubramanian, Boris Babenko, Sunny Virmani, Subhashini Venugopalan, Akinori Mitani, Guilherme de Oliveira Marinho, Jorge Cuadros, Paisan Ruamviboonsuk, Gregory S. Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu, Pinal Bavishi:
  Predicting Risk of Developing Diabetic Retinopathy using Deep Learning. CoRR abs/2008.04370 (2020)
• 
  Boris Babenko, Akinori Mitani, Ilana Traynis, Naho Kitade, Preeti Singh, April Y. Maa, Jorge Cuadros, Greg Corrado, Lily Peng, Dale R. Webster, Avinash V. Varadarajan, Naama Hammel, Yun Liu:
  Detecting hidden signs of diabetes in external eye photographs. CoRR abs/2011.11732 (2020)
• 2019
• 
  Anupama Upadhayula, Avinash Ravilla, Ishwarya Varadarajan, Sowmya Viswanathan, David C. Anastasiu:
  Study Area Recommendation via Network Log Analytics. MobileCloud 2019: 48-55
• 
  Boris Babenko, Siva Balasubramanian, Katy E. Blumer, Gregory S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan:
  Predicting Progression of Age-related Macular Degeneration from Fundus Images using Deep Learning. CoRR abs/1904.05478 (2019)
• 
  Akinori Mitani, Yun Liu, Abigail E. Huang, Gregory S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan:
  Detecting Anemia from Retinal Fundus Images. CoRR abs/1904.06435 (2019)
• 2018
• 
  Avinash V. Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk, Peranut Chotcomwongse, Subhashini Venugopalan, Arunachalam Narayanaswamy, Jorge Cuadros, Kuniyoshi Kanai, George Bresnick, Mongkol Tadarati, Sukhum Silpa-Archa, Jirawut Limwattanayingyong, Variya Nganthavee, Joe Ledsam, Pearse A. Keane, Gregory S. Corrado, Lily Peng, Dale R. Webster:
  Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning. CoRR abs/1810.10342 (2018)
• 2017
• 
  Ryan Poplin, Avinash V. Varadarajan, Katy Blumer, Yun Liu, Michael V. McConnell, Gregory S. Corrado, Lily Peng, Dale R. Webster:
  Predicting Cardiovascular Risk Factors from Retinal Fundus Photographs using Deep Learning. CoRR abs/1708.09843 (2017)
• 
  Avinash V. Varadarajan, Ryan Poplin, Katy Blumer, Christof Angermüller, Joe Ledsam, Reena Chopra, Pearse A. Keane, Greg Corrado, Lily Peng, Dale R. Webster:
  Deep learning for predicting refractive error from retinal fundus images. CoRR abs/1712.07798 (2017)
• 2016
• 
  Avinash Visagan Varadarajan, Marcel Romijn, Bart Oosthoek, Joanna M. van de Mortel-Fronczak, Jos Beijer:
  Development and Validation of Functional Model of a Cruise Control System. FESCA@ETAPS 2016: 45-58
• 2007
• 
  Avinash V. Varadarajan, Ramarathnam Venkatesan, C. Pandu Rangan:
  Data structures for limited oblivious execution of programs while preserving locality of reference. Digital Rights Management Workshop 2007: 63-69
• 2005
• 
  Richard Hull, Bharat Kumar, Daniel F. Lieuwen, Peter F. Patel-Schneider, Arnaud Sahuguet, Sriram Varadarajan, Avinash Vyas:
  Improving User Experience through Rule-based Service Customization. Int. J. Cooperative Inf. Syst. 14(4): 469-502 (2005)
• 2004
• 
  Richard Hull, Bharat Kumar, Daniel F. Lieuwen, Peter F. Patel-Schneider, Arnaud Sahuguet, Sriram Varadarajan, Avinash Vyas:
  Enabling Context-Aware and Privacy-Conscious User Data Sharing. Mobile Data Management 2004: 187-198
• 2003
• 
  Richard Hull, Bharat Kumar, Daniel F. Lieuwen, Peter F. Patel-Schneider, Arnaud Sahuguet, Sriram Varadarajan, Avinash Vyas:
  "Everything Personal, Not Just Business: " Improving User Experience through Rule-Based Service Customization. ICSOC 2003: 149-164
• 
  Richard Hull, Bharat Kumar, Daniel F. Lieuwen, Peter F. Patel-Schneider, Arnaud Sahuguet, Sriram Varadarajan, Avinash Vyas:
  Rule-based Service Customization via Houdini. WWW (Posters) 2003