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Research Area: Web Information Management |
Profile
Ashwin Machanavajjhala is a Senior Research Scientist in the Knowledge Management group at Yahoo! Research. His primary research interests lie in data privacy with a specific focus on formally reasoning about privacy under probabilistic adversary models. He is also interested in creating and curating structure knowledge bases from unstructured, noisy and time-varying web data using statistical methods.
Ashwin graduated with a Ph.D. from the Department of Computer Science, Cornell University. His thesis work on defining and enforcing privacy was awarded the 2008 ACM SIGMOD Jim Gray Dissertation Award Honorable Mention. He has also received an M.S. from Cornell University and a B.Tech in Computer Science and Engineering from the Indian Institute of Technology, Madras.
Recent Publications, Projects and News
- Feed Following: The Big Data Challenge in Social Applications Adam Silberstein; Ashwin Machanavajjhala; Raghu Ramakrishnan, DBSocial, 2011 [view abstract]
- Personalized Social Recommendations -- Accurate or Private? Ashwin Machanavajjhala; Aleksandra Korolova; Atish Das Sarma, VLDB, 2011 [view abstract]
- Collective Bayesian Extraction from Heterogeneous Web Lists Ashwin Machanavajjhala; Arun Iyer; Philip Bohannon; Srujana Merugu, WDSM, 2011 [view abstract]
- No Free Lunch in Data Privacy Daniel Kifer; Ashwin Machanavajhala, SIGMOD, 2011 [view abstract]
- Highly Efficient Algorithms For Structural Clustering of Large Websites Lorenzo Blanco; Nilesh Dalvi; Ashwin Machanavajjhala, WWW, 2011 [view abstract]
- Privacy in Search Logs M. Goetz; A. Machanavajjhala; G. Wang; X. Xiao; J. Gehrke, Transactions on Knowledge and Data Engineering, 2010 [view abstract]
- Yahoo! Labs Privacy - Key Scientific Challenges Ashwin Machanavajjhala, 2010
- Privacy-Preserving Data Publishing (Survey) Bee-Chung Chen; Daniel Kifer; Kristen Lefevre; Ashwin Machanavajjhala, Foundations and Trends in Databases, 2009 [view abstract]
- Privacy in Data Publishing. (Tutorial) Ashwin Machanavajjhala; Johannes Gehrke, 2009 IEEE Symposium on Security and Privacy., 2009
- Data Publishing against Realistic Adversaries Ashwin Machanavajjhala; Johannes Gehrke; Michaela Goetz, Very Large DataBases (VLDB), 2009 [view abstract]
