Raghav Bhaskar, Saikat Guha, Srivatsan Laxman, and Prasad Naldurg, Verito: A Practical System for Transparency and Accountability in Virtual Economies, in Proceedings of the Network and Distributed Systems Security Symposium (NDSS), February 2013
Abhirup Nath, Shibnath Mukherjee, Prateek Jain, Navin Goyal, and Srivatsan Laxman, Ad Impression Forecasting for Sponsored Search, in Proceedings of 22nd International World Wide Web Conference (WWW 2013), Rio de Janeiro, 2013
Debprakash Patnaik, Srivatsan Laxman, Badrish Chandramouli, and Naren Ramakrishnan, Efficient Episode Mining of Dynamic Event Streams, in IEEE International Conference on Data Mining (ICDM 2012), Brussels, Belgium, IEEE Computer Society, December 2012
K. S. M. Tozammel Hossain, Debprakash Patnaik, Srivatsan Laxman, Prateek Jain, Chris Bailey-Kellog, and Naren Ramakrishnan, Improved Multiple Sequence Alignments using Coupled Pattern Mining, in Proceedings of the Third ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB 2012), ACM, October 2012
Rishiraj Saha Roy, Niloy Ganguly, Monojit Choudhury, and Srivatsan Laxman, An IR-based Evaluation Framework for Web Search Query Segmentation, in SIGIR 2012, ACM, August 2012
Avinash Achar, Srivatsan Laxman, and P.S. Sastry, A Unified View of the Apriori-based algorithms for Frequent Episode Discovery, in Knowledge and Information Systems (KAIS), vol. 31, no. 2, pp. 223--250, Springer Verlag, 2012
Avinash Achar, Srivatsan Laxman, Raajay Viswanathan, and P. S. Sastry, Discovering Injective Episodes with General Partial Orders, in Data Mining and Knowledge Discovery (DAMI), vol. 25, no. 1, pp. 67--108, Springer, 2012
Raghav Bhaskar, Abhishek Bhowmick, Vipul Goyal, Srivatsan Laxman, and Abhradeep Guha Thakurta, Noiseless Database Privacy, in Proceedings of the Seventeenth International Conference on Theory and Application of Cryptology and Information Security, ASIACRYPT 2011, Lecture Notes in Computer Science, December 2011
Sandeep Karanth, Srivatsan Laxman, Prasad Naldurg, Ramarathnam Venkatesan, J. Lambert, and Jinwook Shin, ZDVUE: Prioritization of JavaScript Attacks To Discover New Vulnerabilities, inProceedings of the Fourth ACM Workshop on Artificial Intelligence and Security (AISEC 2011), ACM, October 2011
Dipak L. Chaudhari, Om P. Damani, and Srivatsan Laxman, Lexical Co-occurrence, Statistical Significance, and Word Association, in Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP 2011), Edinburgh, UK, ACL/SIGPARSE, July 2011
Nikita Mishra, Rishiraj Saha Roy, Niloy Ganguly, Srivatsan Laxman, and Monojit Choudhury,Unsupervised query segmentation using only query logs, in Proceedings of the Twentieth International World Wide Web Conference (WWW 2011), Companion Volume, Hyderabad, Mar 28-Apr 1, ACM, 2011
Raghav Bhaskar, Srivatsan Laxman, Adam Smith, and Abhradeep Thakurta, Discovering frequent patterns in sensitive data, in 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2010), Washington, DC, USA, Association for Computing Machinery, Inc., July 2010
Sandeep Karanth, Srivatsan Laxman, Prasad Naldurg, Ramarathnam Venkatesan, J Lambert, and Jinwook Shin, Pattern Mining for Future Attacks, no. MSR-TR-2010-100, July 2010
Debprakash Patnaik, Srivatsan Laxman, and Naren Ramakrishnan, Learning probabilistic models of connectivity from multiple spike train data, in Posters of Nineteenth Annual Computational Neuroscience Meeting (CNS*2010), San Antonio, Texas, Jul 24, 2010
Debprakash Patnaik, Srivatsan Laxman, and Naren Ramakrishnan, Discovering Excitatory Relationships using Dynamic Bayesian Networks, in Knowledge and Information Systems (KAIS), vol. 29, no. 2, pp. 273-303, Springer Verlag, 2010
Debprakash Patnaik, Srivatsan Laxman, and Naren Ramakrishnan, Discovering Excitatory Networks from Discrete Event Streams with Applications to Neuronal Spike Train Analysis, inProceedings of The 2009 IEEE International Conference on Data Mining (ICDM 2009), Miami, USA, IEEE Computer Society, December 2009
Avinash Achar, Srivatsan Laxman, Raajay Viswanathan, and P. S. Sastry, Discovering general partial orders in event streams, February 2009
Srivatsan Laxman, Vikram Tankasali, and Ryen W. White, Stream prediction using a generative model based on frequent episodes in event sequences, in Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2008), Las Vegas, USA, Association for Computing Machinery, Inc., August 2008
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, and Ramarathnam Venkatesan, Connections between Mining Frequent Itemsets and Learning Generative Models, in Proceedings of Seventh IEEE International Conference on Data Mining, 2007 (ICDM 2007), Omaha, USA, IEEE, October 2007
Srivatsan Laxman, P. S. Sastry, and K. P. Unnikrishnan, Discovering frequent generalized episodes when events persist for different durations, in IEEE Transactions on Knowledge and Data Engineering, vol. 19, no. 9, pp. 1188–1201, IEEE Computer Society, September 2007
Srivatsan Laxman, Prasad Naldurg, Raja Sripada, and Ramarathnam Venkatesan, Connections between mining frequent itemsets and learning generative models, no. MSR-TR-2007-100, August 2007
Srivatsan Laxman, P. S. Sastry, and K. P. Unnikrishnan, A fast algorithm for finding frequent episodes in event streams, in Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007), San Jose, USA, Association for Computing Machinery, Inc., August 2007
Srivatsan Laxman and P. S. Sastry, A survey of temporal data mining, in SADHANA, Academy Proceedings in Engineering Sciences, vol. 31, pp. 173–198, The Indian Academy of Sciences, April 2006
Srivatsan Laxman, P. S. Sastry, and K. P. Unnikrishnan, Discovering frequent episodes and learning Hidden Markov Models: A formal connection, in IEEE Transactions on Knowledge and Data Engineering, vol. 17, no. 11, pp. 1505–1517, IEEE Computer Society, November 2005
Srivatsan Laxman and P. S. Sastry, Speaker adaptation through speaker specific compensation, inProceedings of IEEE SPCOM 2004, International Conference on Signal Processing and Communications, Bangalore, India, Institute of Electrical and Electronics Engineers, Inc., December 2004
Srivatsan Laxman, P. S. Sastry, and K. P. Unnikrishnan, Fast algorithms for frequent episode discovery in event sequences, in Proceedings of the 3rd Workshop on Mining Temporal and Sequential Data, SIGKDD, Seattle, WA, Association for Computing Machinery, Inc., August 2004
Srivatsan Laxman and P. S. Sastry, Text-dependent speaker recognition using speaker specific compensation, in Proceedings of IEEE TENCON 2003, Conference for convergent technologies for Asia-Pacific Region, Bangalore, India, Institute of Electrical and Electronics Engineers, Inc., October 2003
Srivatsan Laxman, P. S. Sastry, and K. P. Unnikrishnan, Generalized frequent episodes in event sequences, in Temporal Data Mining Workshop Notes, SIGKDD, Edmonton, Alberta, Canada, Association for Computing Machinery, Inc., July 2002