Ashwin Machanavajjhala
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
50
Venues
14
Active years
2004–2022
Best venue rank
A*
Where they publish
Papers
50 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | SIGMOD | R2T: Instance-optimal Truncation for Differentially Private Query Evaluation with Foreign Keys. | Wei Dong, Juanru Fang, Ke Yi, Yuchao Tao, Ashwin Machanavajjhala |
| 2022 | SIGMOD | IncShrink: Architecting Efficient Outsourced Databases using Incremental MPC and Differential Privacy. | Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala |
| 2021 | SIGMOD | Practical Security and Privacy for Database Systems. | Xi He, Jennie Rogers, Johes Bater, Ashwin Machanavajjhala, Chenghong Wang, Xiao Wang |
| 2021 | SIGMOD | Synthesizing Linked Data Under Cardinality and Integrity Constraints. | Amir Gilad, Shweta Patwa, Ashwin Machanavajjhala |
| 2021 | SIGMOD | DP-Sync: Hiding Update Patterns in Secure Outsourced Databases with Differential Privacy. | Chenghong Wang, Johes Bater, Kartik Nayak, Ashwin Machanavajjhala |
| 2020 | ICDE | One-sided Differential Privacy. | Ios Kotsogiannis, Stelios Doudalis, Samuel Haney, Ashwin Machanavajjhala, Sharad Mehrotra |
| 2020 | SIGMOD | Crypt?: Crypto-Assisted Differential Privacy on Untrusted Servers. | Amrita Roy Chowdhury, Chenghong Wang, Xi He, Ashwin Machanavajjhala, Somesh Jha |
| 2020 | SIGMOD | Computing Local Sensitivities of Counting Queries with Joins. | Yuchao Tao, Xi He, Ashwin Machanavajjhala, Sudeepa Roy |
| 2020 | SENSYS | Poirot: private contact summary aggregation: poster abstract. | Yanping Zhang, Chenghong Wang, David Pujol, Johes Bater, Matthew Lentz, Ashwin Machanavajjhala, Kartik Nayak, Lavanya Vasudevan, Jun Yang |
| 2019 | CIDR | Architecting a Differentially Private SQL Engine. | Ios Kotsogiannis, Yuchao Tao, Ashwin Machanavajjhala, Gerome Miklau, Michael Hay |
| 2019 | Mobisys | Permissions Plugins as Android Apps. | Nisarg Raval, Ali Razeen, Ashwin Machanavajjhala, Landon P. Cox, Andrew Warfield |
| 2019 | SIGMOD | APEx: Accuracy-Aware Differentially Private Data Exploration. | Chang Ge, Xi He, Ihab F. Ilyas, Ashwin Machanavajjhala |
| 2019 | VLDB | Privacy Changes Everything. | Jennie Rogers, Johes Bater, Xi He, Ashwin Machanavajjhala, Madhav Suresh, Xiao Wang |
| 2018 | SIGMOD | IoT-Detective: Analyzing IoT Data Under Differential Privacy. | Sameera Ghayyur, Yan Chen, Roberto Yus, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau, Sharad Mehrotra |
| 2018 | SIGMOD | EKTELO: A Framework for Defining Differentially-Private Computations. | Dan Zhang, Ryan McKenna, Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau |
| 2017 | CCS | PeGaSus: Data-Adaptive Differentially Private Stream Processing. | Yan Chen, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau |
| 2017 | CCS | Composing Differential Privacy and Secure Computation: A Case Study on Scaling Private Record Linkage. | Xi He, Ashwin Machanavajjhala, Cheryl J. Flynn, Divesh Srivastava |
| 2017 | CVPR | Protecting Visual Secrets Using Adversarial Nets. | Nisarg Raval, Ashwin Machanavajjhala, Landon P. Cox |
| 2017 | SIGMOD | Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics. | Samuel Haney, Ashwin Machanavajjhala, John M. Abowd, Matthew Graham, Mark Kutzbach, Lars Vilhuber |
| 2017 | SIGMOD | DIAS: Differentially Private Interactive Algorithm Selection using Pythia. | Ios Kotsogiannis, Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Margaret Orr |
| 2017 | SIGMOD | Pythia: Data Dependent Differentially Private Algorithm Selection. | Ios Kotsogiannis, Ashwin Machanavajjhala, Michael Hay, Gerome Miklau |
| 2017 | SIGMOD | Differential Privacy in the Wild: A Tutorial on Current Practices & Open Challenges. | Ashwin Machanavajjhala, Xi He, Michael Hay |
| 2017 | WSDM | Directed Edge Recommender System. | Ios Kotsogiannis, Elena Zheleva, Ashwin Machanavajjhala |
| 2016 | ICDM | Differentially Private Regression Diagnostics. | Yan Chen, Ashwin Machanavajjhala, Jerome P. Reiter, Andrs F. Barrientos |
| 2016 | Mobisys | What You Mark is What Apps See. | Nisarg Raval, Animesh Srivastava, Ali Razeen, Kiron Lebeck, Ashwin Machanavajjhala, Landon P. Cox |
| 2016 | Mobisys | Demo: What You Mark is What Apps See. | Nisarg Raval, Animesh Srivastava, Ali Razeen, Kiron Lebeck, Ashwin Machanavajjhala, Landon P. Cox |
| 2016 | SIGMOD | Principled Evaluation of Differentially Private Algorithms using DPBench. | Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang |
| 2016 | SIGMOD | Exploring Privacy-Accuracy Tradeoffs using DPComp. | Michael Hay, Ashwin Machanavajjhala, Gerome Miklau, Yan Chen, Dan Zhang, George Bissias |
| 2014 | SIGMOD | Blowfish privacy: tuning privacy-utility trade-offs using policies. | Xi He, Ashwin Machanavajjhala, Bolin Ding |
| 2013 | CIDR | Scalable Social Coordination with Group Constraints using Enmeshed Queries. | Jianjun Chen, Ashwin Machanavajjhala, George Varghese |
| 2013 | ICDE | Finding connected components in map-reduce in logarithmic rounds. | Vibhor Rastogi, Ashwin Machanavajjhala, Laukik Chitnis, Anish Das Sarma |
| 2013 | KDD | Entity resolution for big data. | Lise Getoor, Ashwin Machanavajjhala |
| 2013 | KDD | Network sampling. | Lise Getoor, Ashwin Machanavajjhala |
| 2012 | CIKM | Challenges in enabling social application at scale: cloudDB'12 invited-keynote talk abstract. | Ashwin Machanavajjhala |
| 2012 | CIKM | An automatic blocking mechanism for large-scale de-duplication tasks. | Anish Das Sarma, Ankur Jain, Ashwin Machanavajjhala, Philip Bohannon |
| 2012 | PODS | A rigorous and customizable framework for privacy. | Daniel Kifer, Ashwin Machanavajjhala |
| 2012 | WWW | Information integration over time in unreliable and uncertain environments. | Aditya Pal, Vibhor Rastogi, Ashwin Machanavajjhala, Philip Bohannon |
| 2011 | KDD | Sampling hidden objects using nearest-neighbor oracles. | Nilesh N. Dalvi, Ravi Kumar, Ashwin Machanavajjhala, Vibhor Rastogi |
| 2011 | WWW | Highly efficient algorithms for structural clustering of large websites. | Lorenzo Blanco, Nilesh N. Dalvi, Ashwin Machanavajjhala |
| 2011 | SIGMOD | No free lunch in data privacy. | Daniel Kifer, Ashwin Machanavajjhala |
| 2011 | WSDM | Collective extraction from heterogeneous web lists. | Ashwin Machanavajjhala, Arun Shankar Iyer, Philip Bohannon, Srujana Merugu |
| 2010 | ICDE | Privacy in data publishing. | Johannes Gehrke, Daniel Kifer, Ashwin Machanavajjhala |
| 2008 | ICDE | Privacy: Theory meets Practice on the Map. | Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd, Johannes Gehrke, Lars Vilhuber |
| 2007 | ICDE | Worst-Case Background Knowledge for Privacy-Preserving Data Publishing. | David J. Martin, Daniel Kifer, Ashwin Machanavajjhala, Johannes Gehrke, Joseph Y. Halpern |
| 2007 | SIGMOD | P-ring: an efficient and robust P2P range index structure. | Adina Crainiceanu, Prakash Linga, Ashwin Machanavajjhala, Johannes Gehrke, Jayavel Shanmugasundaram |
| 2006 | ICDE | l-Diversity: Privacy Beyond k-Anonymity. | Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer, Muthuramakrishnan Venkitasubramaniam |
| 2006 | ICDE | Trusted CVS. | Muthuramakrishnan Venkitasubramaniam, Ashwin Machanavajjhala, David J. Martin, Johannes Gehrke |
| 2006 | PODS | On the efficiency of checking perfect privacy. | Ashwin Machanavajjhala, Johannes Gehrke |
| 2004 | WWW | A storage and indexing framework for p2p systems. | Adina Crainiceanu, Prakash Linga, Ashwin Machanavajjhala, Johannes Gehrke, Jayavel Shanmugasundaram |
| 2004 | SIGMOD | An Indexing Framework for Peer-to-Peer Systems. | Adina Crainiceanu, Prakash Linga, Ashwin Machanavajjhala, Johannes Gehrke, Jayavel Shanmugasundaram |