Security and Privacy
We work on fundamental as well as practical aspects of security and privacy. In the area of security, we work in authorization logics and access control models, designing secure systems, and cryptographic protocols. In the area of privacy we work on designing practical privacy preserving advertisement systems, formally defining notions of privacy, as well as in designing algorithms that simultaneously provide functional value and guarantee privacy.
Active ongoing projects:
- Authorization and Access Control
- Access control for databases
- FPGA Hardware assisted security
- Noiseless Privacy
- Privacy preserving learning
- Privacy preserving mining
- Privacy preserving advertising
People
Publications
- 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
- Raghav Bhaskar, Ragesh Jaiswal, and Sidharth Telang, Congestion Lower Bounds for Secure In-network Aggregation, in ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec '12), ACM, April 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, in Proceedings of the Fourth ACM Workshop on Artificial Intelligence and Security (AISEC 2011), ACM, October 2011
- 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
- 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
