Kunal Talwar, Abhradeep Thakurta and  Li ZhangPrivate Empirical Risk Minimization Beyond the Worst Case: The Effect of the Constraint Set Geometry[Submitted to COLT-2015].

Ruggerio Cavallo, Chris Wilkins, and Abhradeep Thakurta. Permutation Invariant Learning and Dynamic Mechanism Design.

Prateek Jain, Vivek Kulkarni, Abhradeep Thakurta and Oliver Williams. To Drop or Not to Drop: Generalizability, Stability and Privacy of Dropout.

Abhradeep Thakurta. Beyond Worst Case Sensitivity in Private Data Analysis. [Survey article. Encylopedia of Algorithms].

Raef Bassily, Adam Smith and Abhradeep Thakurta. Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds.  In FOCS 2014, and in ICML, 2014 workshop on learning, security and privacy (presentation only)

Nikita Mishra and Abhradeep Thakurta. (Nearly) Optimal Differentially Private Stochastic Multi-arm Bandits: From Theory to Practice. [In ICML, 2014 workshop on learning, security and privacy].

Cynthia Dwork, Kunal Talwar, Abhradeep Thakurta and  Li ZhangAnalyze Gauss: Optimal Bounds for Privacy-Preserving Principal Component Analysis. STOC-2014, pp. 11-20.

Prateek Jain and Abhradeep Thakurta. (Near) Dimension Independent Risk Bounds for Differentially Private Learning. ICML 2014.

Adam Smith and Abhradeep Thakurta. (Nearly) Optimal Algorithms for Private Online Learning in Full-information and Bandit Settings. NIPS-2013.

Adam Smith and Abhradeep ThakurtaDifferentially Private Feature Selection via Stability Arguments, and the Robustness of LASSO. COLT-2013, pp. 30:819-850.

Prateek Jain and Abhradeep Thakurta. Differentially Private Learning with Kernels. ICML-2013, pp. 28(3):118-126.

Kashyap Dixit, Madhav Jha, Sofya Raskhodnikova and Abhradeep ThakurtaTesting Lipschitz Property over Product Distributions with Applications to Statistical Data Privacy. TCC-2013, pp. 418-436.

Prateek Jain and Abhradeep Thakurta. Mirror Descent based Interactive Database Privacy. APPROX/ RANDOM-2012, pp. 579-590.

Daniel Kifer, Adam Smith and Abhradeep Thakurta. Private Convex Empirical Risk Minimization and High-dimensional Regression. COLT-2012, pp. 25.1–25.40.

Prateek Jain, Pravesh Kothari and Abhradeep Thakurta. Differentially Private Online Learning. COLT-2012, pp. 24.1–24.34.

Prashanth Mohan, Abhradeep Thakurta, Elaine Shi and Dawn Song. GUPT: Privacy Preserving Data Analysis Made Easy.  SIGMOD 2012, pp. 349-360.

Raghav Bhaskar, Abhishek Bhowmick, Vipul Goyal, Srivatsan Laxman and Abhradeep Thakurta. Noiseless Database Privacy. Asiacrypt, 2011, pp 215-232.

Raghav Bhaskar, Srivatsan Laxman, Adam Smith and Abhradeep Thakurta. Discovering frequent patterns in sensitive data. SIGKDD, 2010, pp. 503-512.

Abhradeep Guha Thakurta, Ashwath Kumar Reddyand Vijayan Immanuel. GRASP Approach to The Glass Cutting Problem. 5th Mexican International Conference on Artificial Intelligence(MICAI-2006), Research in Computing Science, ISSN 1870-4069.