Krishnaram Kenthapadi

According to our database, Krishnaram Kenthapadi authored at least 93 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

Mastering the Craft of Data Synthesis for CodeLLMs.

Meng Chen, Philip Arthur, Qianyu Feng, Cong Duy Vu Hoang, Yu-Heng Hong, Mahdi Kazemi Moghaddam, Omid Nezami, Thien Nguyen, Gioacchino Tangari, Duy Vu, Thanh Vu, Mark Johnson, Krishnaram Kenthapadi, Don Dharmasiri, Long Duong, Yuan-Fang Li

CoRR, 2024

Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey).

Krishnaram Kenthapadi, Mehrnoosh Sameki, Ankur Taly

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Measuring Distributional Shifts in Text: The Advantage of Language Model-Based Embeddings.

Gyandev Gupta, Bashir Rastegarpanah, Amalendu Iyer, Joshua Rubin, Krishnaram Kenthapadi

CoRR, 2023

Tutorials at The Web Conference 2023.

Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Generative AI meets Responsible AI: Practical Challenges and Opportunities.

Krishnaram Kenthapadi, Himabindu Lakkaraju, Nazneen Rajani

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Designing Closed-Loop Models for Task Allocation.

Vijay Keswani, L. Elisa Celis, Krishnaram Kenthapadi, Matthew Lease

Proceedings of the HHAI 2023: Augmenting Human Intellect, 2023

2022

Towards the Use of Saliency Maps for Explaining Low-Quality Electrocardiograms to End Users.

Ana Lucic, Sheeraz Ahmad, Amanda Furtado Brinhosa, Vera Liao, Himani Agrawal, Umang Bhatt, Krishnaram Kenthapadi, Alice Xiang, Maarten de Rijke, Nicholas Drabowski

CoRR, 2022

A Human-Centric Take on Model Monitoring.

Murtuza N. Shergadwala, Himabindu Lakkaraju, Krishnaram Kenthapadi

CoRR, 2022

Diverse Counterfactual Explanations for Anomaly Detection in Time Series.

Déborah Sulem, Michele Donini, Muhammad Bilal Zafar, Francois-Xavier Aubet, Jan Gasthaus, Tim Januschowski, Sanjiv Das, Krishnaram Kenthapadi, Cédric Archambeau

CoRR, 2022

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.

Fan Wu, Linyi Li, Chejian Xu, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li

CoRR, 2022

Designing Closed Human-in-the-loop Deferral Pipelines.

Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi

CoRR, 2022

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases.

David Munechika, Zijie J. Wang, Jack Reidy, Joshua Rubin, Krishna Gade, Krishnaram Kenthapadi, Duen Horng Chau

Proceedings of the 2022 IEEE Visualization and Visual Analytics (VIS), 2022

Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks.

Michael Lohaus, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, Chris Russell

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Profiling Deep Learning Workloads at Scale using Amazon SageMaker.

Nathalie Rauschmayr, Sami Kama, Muhyun Kim, Miyoung Choi, Krishnaram Kenthapadi

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Amazon SageMaker Model Monitor: A System for Real-Time Insights into Deployed Machine Learning Models.

David Nigenda, Zohar Karnin, Muhammad Bilal Zafar, Raghu Ramesha, Alan Tan, Michele Donini, Krishnaram Kenthapadi

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Model Monitoring in Practice: Lessons Learned and Open Challenges.

Krishnaram Kenthapadi, Himabindu Lakkaraju, Pradeep Natarajan, Mehrnoosh Sameki

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Generating Distributional Adversarial Examples to Evade Statistical Detectors.

Yigitcan Kaya, Muhammad Bilal Zafar, Sergül Aydöre, Nathalie Rauschmayr, Krishnaram Kenthapadi

Proceedings of the International Conference on Machine Learning, 2022

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.

Fan Wu, Linyi Li, Huan Zhang, Bhavya Kailkhura, Krishnaram Kenthapadi, Ding Zhao, Bo Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

A Human-Centric Perspective on Model Monitoring.

Murtuza N. Shergadwala, Himabindu Lakkaraju, Krishnaram Kenthapadi

Proceedings of the Tenth AAAI Conference on Human Computation and Crowdsourcing, 2022

Human-Algorithm Collaboration: Achieving Complementarity and Avoiding Unfairness.

Kate Donahue, Alexandra Chouldechova, Krishnaram Kenthapadi

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Multiaccurate Proxies for Downstream Fairness.

Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth, Saeed Sharifi-Malvajerdi

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

Pairwise Fairness for Ordinal Regression.

Matthäus Kleindessner, Samira Samadi, Muhammad Bilal Zafar, Krishnaram Kenthapadi, Chris Russell

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

More Than Words: Towards Better Quality Interpretations of Text Classifiers.

Muhammad Bilal Zafar, Philipp Schmidt, Michele Donini, Cédric Archambeau, Felix Biessmann, Sanjiv Ranjan Das, Krishnaram Kenthapadi

CoRR, 2021

On Measuring the Diversity of Organizational Networks.

Zeinab S. Jalali, Krishnaram Kenthapadi, Sucheta Soundarajan

CoRR, 2021

Defuse: Harnessing Unrestricted Adversarial Examples for Debugging Models Beyond Test Accuracy.

Dylan Slack, Nathalie Rauschmayr, Krishnaram Kenthapadi

CoRR, 2021

Amazon SageMaker Debugger: A System for Real-Time Insights into Machine Learning Model Training.

Nathalie Rauschmayr, Vikas Kumar, Rahul Huilgol, Andrea Olgiati, Satadal Bhattacharjee, Nihal Harish, Vandana Kannan, Amol Lele, Anirudh Acharya, Jared Nielsen, Lakshmi Ramakrishnan, Ishan Bhatt, Kohen Chia, Neelesh Dodda, Zhihan Li, Jiacheng Gu, Miyoung Choi, Balajee Nagarajan, Jeffrey Geevarghese, Denis Davydenko, Sifei Li, Lu Huang, Edward Kim, Tyler Hill, Krishnaram Kenthapadi

Proceedings of the Fourth Conference on Machine Learning and Systems, 2021

Amazon SageMaker Automatic Model Tuning: Scalable Gradient-Free Optimization.

Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud.

Michaela Hardt, Xiaoguang Chen, Xiaoyi Cheng, Michele Donini, Jason Gelman, Satish Gollaprolu, John He, Pedro Larroy, Xinyu Liu, Nick McCarthy, Ashish Rathi, Scott Rees, Amaresh Ankit Siva, ErhYuan Tsai, Keerthan Vasist, Pinar Yilmaz, Muhammad Bilal Zafar, Sanjiv Das, Kevin Haas, Tyler Hill, Krishnaram Kenthapadi

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Differentially Private Query Release Through Adaptive Projection.

Sergül Aydöre, William Brown, Michael Kearns, Krishnaram Kenthapadi, Luca Melis, Aaron Roth, Amaresh Ankit Siva

Proceedings of the 38th International Conference on Machine Learning, 2021

Fair Bayesian Optimization.

Valerio Perrone, Michele Donini, Muhammad Bilal Zafar, Robin Schmucker, Krishnaram Kenthapadi, Cédric Archambeau

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Towards Unbiased and Accurate Deferral to Multiple Experts.

Vijay Keswani, Matthew Lease, Krishnaram Kenthapadi

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

Minimax Group Fairness: Algorithms and Experiments.

Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

On the Lack of Robust Interpretability of Neural Text Classifiers.

Muhammad Bilal Zafar, Michele Donini, Dylan Slack, Cédric Archambeau, Sanjiv Das, Krishnaram Kenthapadi

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Amazon SageMaker Automatic Model Tuning: Scalable Black-box Optimization.

Valerio Perrone, Huibin Shen, Aida Zolic, Iaroslav Shcherbatyi, Amr Ahmed, Tanya Bansal, Michele Donini, Fela Winkelmolen, Rodolphe Jenatton, Jean Baptiste Faddoul, Barbara Pogorzelska, Miroslav Miladinovic, Krishnaram Kenthapadi, Matthias W. Seeger, Cédric Archambeau

CoRR, 2020

Convergent Algorithms for (Relaxed) Minimax Fairness.

Emily Diana, Wesley Gill, Michael Kearns, Krishnaram Kenthapadi, Aaron Roth

CoRR, 2020

Fairness-Aware Online Personalization.

G. Roshan Lal, Sahin Cem Geyik, Krishnaram Kenthapadi

CoRR, 2020

Fair Bayesian Optimization.

Valerio Perrone, Michele Donini, Krishnaram Kenthapadi, Cédric Archambeau

CoRR, 2020

Explainable AI in Industry: Practical Challenges and Lessons Learned.

Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly

Proceedings of the Companion of The 2020 Web Conference 2020, 2020

Evaluating Fairness Using Permutation Tests.

Cyrus DiCiccio, Sriram Vasudevan, Kinjal Basu, Krishnaram Kenthapadi, Deepak Agarwal

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Explainable AI in industry: practical challenges and lessons learned: implications tutorial.

Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly

Proceedings of the FAT* '20: Conference on Fairness, 2020

Bridging the gap from AI ethics research to practice.

Kathy Baxter, Yoav Schlesinger, Sarah Aerni, Lewis J. Baker, Julie Dawson, Krishnaram Kenthapadi, Isabel M. Kloumann, Hanna M. Wallach

Proceedings of the FAT* '20: Conference on Fairness, 2020

LiFT: A Scalable Framework for Measuring Fairness in ML Applications.

Sriram Vasudevan, Krishnaram Kenthapadi

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

Privacy-preserving Data Mining in Industry.

Krishnaram Kenthapadi, Ilya Mironov, Abhradeep Thakurta

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.

Sarah Bird, Ben Hutchinson, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell

Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

Fairness-Aware Machine Learning: Practical Challenges and Lessons Learned.

Sarah Bird, Krishnaram Kenthapadi, Emre Kiciman, Margaret Mitchell

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

What's in a Name? Reducing Bias in Bios without Access to Protected Attributes.

Alexey Romanov, Maria De-Arteaga, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Anna Rumshisky, Adam Kalai

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search.

Sahin Cem Geyik, Stuart Ambler, Krishnaram Kenthapadi

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Explainable AI in Industry.

Krishna Gade, Sahin Cem Geyik, Krishnaram Kenthapadi, Varun Mithal, Ankur Taly

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Bias in Bios: A Case Study of Semantic Representation Bias in a High-Stakes Setting.

Maria De-Arteaga, Alexey Romanov, Hanna M. Wallach, Jennifer T. Chayes, Christian Borgs, Alexandra Chouldechova, Sahin Cem Geyik, Krishnaram Kenthapadi, Adam Tauman Kalai

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned.

Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

How LinkedIn Economic Graph Bonds Information and Product: Applications in LinkedIn Salary.

Xi Chen, Yiqun Liu, Liang Zhang, Krishnaram Kenthapadi

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Towards Deep and Representation Learning for Talent Search at LinkedIn.

Rohan Ramanath, Hakan Inan, Gungor Polatkan, Bo Hu, Qi Guo, Cagri Ozcaglar, Xianren Wu, Krishnaram Kenthapadi, Sahin Cem Geyik

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn.

Krishnaram Kenthapadi, Thanh T. L. Tran

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Dionysius: A Framework for Modeling Hierarchical User Interactions in Recommender Systems.

Jian Wang, Krishnaram Kenthapadi, Kaushik Rangadurai, David Hardtke

CoRR, 2017

Candidate Selection for Large Scale Personalized Search and Recommender Systems.

Dhruv Arya, Ganesh Venkataraman, Aman Grover, Krishnaram Kenthapadi

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

Personalized Job Recommendation System at LinkedIn: Practical Challenges and Lessons Learned.

Krishnaram Kenthapadi, Benjamin Le, Ganesh Venkataraman

Proceedings of the Eleventh ACM Conference on Recommender Systems, 2017

LinkedIn Salary: A System for Secure Collection and Presentation of Structured Compensation Insights to Job Seekers.

Krishnaram Kenthapadi, Ahsan Chudhary, Stuart Ambler

Proceedings of the IEEE Symposium on Privacy-Aware Computing, 2017

LiJAR: A System for Job Application Redistribution towards Efficient Career Marketplace.

Fedor Borisyuk, Liang Zhang, Krishnaram Kenthapadi

Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017

Bringing Salary Transparency to the World: Computing Robust Compensation Insights via LinkedIn Salary.

Krishnaram Kenthapadi, Stuart Ambler, Liang Zhang, Deepak Agarwal

Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016

CaSMoS: A Framework for Learning Candidate Selection Models over Structured Queries and Documents.

Fedor Borisyuk, Krishnaram Kenthapadi, David Stein, Bo Zhao

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2014

Assigning videos to textbooks at appropriate granularity.

Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Evaluating educational interventions at scale.

Rakesh Agrawal, M. Hanif Jhaveri, Krishnaram Kenthapadi

Proceedings of the First (2014) ACM Conference on Learning @ Scale, 2014

Mining Videos from the Web for Electronic Textbooks.

Rakesh Agrawal, Maria Christoforaki, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi, Adith Swaminathan

Proceedings of the Formal Concept Analysis - 12th International Conference, 2014

Assigning Educational Videos at Appropriate Locations in Textbooks.

Marios Kokkodis, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 7th International Conference on Educational Data Mining, 2014

Ranking Twitter discussion groups.

James Cook, Abhimanyu Das, Krishnaram Kenthapadi, Nina Mishra

Proceedings of the second ACM conference on Online social networks, 2014

Similarity Search using Concept Graphs.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Privacy via the Johnson-Lindenstrauss Transform.

Krishnaram Kenthapadi, Aleksandra Korolova, Ilya Mironov, Nina Mishra

J. Priv. Confidentiality, 2013

Denials leak information: Simulatable auditing.

Krishnaram Kenthapadi, Nina Mishra, Kobbi Nissim

J. Comput. Syst. Sci., 2013

Group chats on Twitter.

James Cook, Krishnaram Kenthapadi, Nina Mishra

Proceedings of the 22nd International World Wide Web Conference, 2013

Studying from electronic textbooks.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012

Of hammers and nails: an empirical comparison of three paradigms for processing large graphs.

Marc Najork, Dennis Fetterly, Alan Halverson, Krishnaram Kenthapadi, Sreenivas Gollapudi

Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012

Electronic Textbooks and Data Mining.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the Web-Age Information Management - 13th International Conference, 2012

Empowering authors to diagnose comprehension burden in textbooks.

Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Quality of textbooks: an empirical study.

Rakesh Agrawal, Sunandan Chakraborty, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the ACM Annual Symposium on Computing for Development, 2012

2011

Data mining for improving textbooks.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

SIGKDD Explor., 2011

Identifying enrichment candidates in textbooks.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 20th International Conference on World Wide Web, 2011

Indexing strategies for graceful degradation of search quality.

Shuai Ding, Sreenivas Gollapudi, Samuel Ieong, Krishnaram Kenthapadi, Alexandros Ntoulas

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Enriching Education through Data Mining.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the Pattern Recognition and Machine Intelligence, 2011

Enriching textbooks with images.

Rakesh Agrawal, Sreenivas Gollapudi, Anitha Kannan, Krishnaram Kenthapadi

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010

Achieving anonymity via clustering.

Gagan Aggarwal, Rina Panigrahy, Tomás Feder, Dilys Thomas, Krishnaram Kenthapadi, Samir Khuller, An Zhu

ACM Trans. Algorithms, 2010

Enriching textbooks through data mining.

Rakesh Agrawal, Sreenivas Gollapudi, Krishnaram Kenthapadi, Nitish Srivastava, Raja Velu

Proceedings of the First ACM Annual Symposium on Computing for Development, 2010

2009

Releasing search queries and clicks privately.

Aleksandra Korolova, Krishnaram Kenthapadi, Nina Mishra, Alexandros Ntoulas

Proceedings of the 18th International Conference on World Wide Web, 2009

Generating labels from clicks.

Rakesh Agrawal, Alan Halverson, Krishnaram Kenthapadi, Nina Mishra, Panayiotis Tsaparas

Proceedings of the Second International Conference on Web Search and Web Data Mining, 2009

2008

A Survey of Query Auditing Techniques for Data Privacy.

Shubha U. Nabar, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani

Proceedings of the Privacy-Preserving Data Mining - Models and Algorithms, 2008

2006

Models and algorithms for data privacy.

Krishnaram Kenthapadi

PhD thesis, 2006

Towards Robustness in Query Auditing.

Shubha U. Nabar, Bhaskara Marthi, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani

Proceedings of the 32nd International Conference on Very Large Data Bases, 2006

Balanced allocation on graphs.

Krishnaram Kenthapadi, Rina Panigrahy

Proceedings of the Seventeenth Annual ACM-SIAM Symposium on Discrete Algorithms, 2006

Our Data, Ourselves: Privacy Via Distributed Noise Generation.

Cynthia Dwork, Krishnaram Kenthapadi, Frank McSherry, Ilya Mironov, Moni Naor

Proceedings of the Advances in Cryptology - EUROCRYPT 2006, 25th Annual International Conference on the Theory and Applications of Cryptographic Techniques, St. Petersburg, Russia, May 28, 2006

2005

Decentralized algorithms using both local and random probes for P2P load balancing.

Krishnaram Kenthapadi, Gurmeet Singh Manku

Proceedings of the SPAA 2005: Proceedings of the 17th Annual ACM Symposium on Parallelism in Algorithms and Architectures, 2005

Simulatable auditing.

Krishnaram Kenthapadi, Nina Mishra, Kobbi Nissim

Proceedings of the Twenty-fourth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 2005

Anonymizing Tables.

Gagan Aggarwal, Tomás Feder, Krishnaram Kenthapadi, Rajeev Motwani, Rina Panigrahy, Dilys Thomas, An Zhu

Proceedings of the Database Theory, 2005

Two Can Keep A Secret: A Distributed Architecture for Secure Database Services.

Gagan Aggarwal, Mayank Bawa, Prasanna Ganesan, Hector Garcia-Molina, Krishnaram Kenthapadi, Rajeev Motwani, Utkarsh Srivastava, Dilys Thomas, Ying Xu

Proceedings of the Second Biennial Conference on Innovative Data Systems Research, 2005

2004

Vision Paper: Enabling Privacy for the Paranoids.

Gagan Aggarwal, Mayank Bawa, Prasanna Ganesan, Hector Garcia-Molina, Krishnaram Kenthapadi, Nina Mishra, Rajeev Motwani, Utkarsh Srivastava, Dilys Thomas, Jennifer Widom, Ying Xu

Proceedings of the (e)Proceedings of the Thirtieth International Conference on Very Large Data Bases, VLDB 2004, Toronto, Canada, August 31, 2004