Efficient galois field arithmetic on SIMD architectures. - Raghav Bhaskar; Pradeep K. Dubey; Vijay Kumar; Atri Rudra (SPAA, 2003)

An Efficient Group Key Agreement Protocol for Ad Hoc Networks. - Daniel Augot; Raghav Bhaskar; Valérie Issarny; Daniele Sacchetti (WOWMOM, 2005)

Efficient Authentication for Reactive Routing Protocols. - Raghav Bhaskar; Javier Herranz; Fabien Laguillaumie (AINA (2), 2006)

Efficient and Dynamic Group Key Agreement in Ad hoc Networks - Raghav Bhaskar; Paul Mühlethaler; Daniel Augot; Cédric Adjih; Saadi Boudjit; Anis Laouiti (CoRR, 2006)

Etude cryptographique de solution de sécurité pour les environnements distribués sans fil. Application au projet azone. (Cryptographic study of security solutons for wireless distributed networks application to the azote project). - Raghav Bhaskar (2006)

Vulnerabilities in Anonymous Credential Systems. - Raghav Bhaskar; K. Chandrasekaran 003; Satyanarayana V. Lokam; Peter L. Montgomery; Ramarathnam Venkatesan; Yacov Yacobi (STM@ESORICS, 2007)

Aggregate designated verifier signatures and application to secure routing. - Raghav Bhaskar; Javier Herranz; Fabien Laguillaumie (Int. J. Secur. Networks, 2007)

A three round authenticated group key agreement protocol for ad hoc networks. - Daniel Augot; Raghav Bhaskar; Valérie Issarny; Daniele Sacchetti (Pervasive Mob. Comput., 2007)

Improved Bounds on Security Reductions for Discrete Log Based Signatures. - Sanjam Garg; Raghav Bhaskar; Satyanarayana V. Lokam (CRYPTO, 2008)

On The Diffie-Hellman Assumption. - Raghav Bhaskar; K. Chandrasekaran 003; Satyanarayana V. Lokam; Peter L. Montgomery; Ramarathnam Venkatesan; Yacov Yacobi (IACR Cryptol. ePrint Arch., 2008)

Discovering frequent patterns in sensitive data. - Raghav Bhaskar; Srivatsan Laxman; Adam D. Smith 001; Abhradeep Thakurta (KDD, 2010)

Noiseless Database Privacy. - Raghav Bhaskar; Abhishek Bhowmick 001; Vipul Goyal; Srivatsan Laxman; Abhradeep Thakurta (IACR Cryptol. ePrint Arch., 2011)

Congestion lower bounds for secure in-network aggregation. - Raghav Bhaskar; Ragesh Jaiswal; Sidharth Telang (WISEC, 2012)

Non Observability in the Random Oracle Model. - Prabhanjan Ananth; Raghav Bhaskar (IACR Cryptol. ePrint Arch., 2012)

On the (In)security of Fischlin's Paradigm. - Prabhanjan Ananth; Raghav Bhaskar; Vipul Goyal; Vanishree Rao (IACR Cryptol. ePrint Arch., 2012)

Verito: A Practical System for Transparency and Accountability in Virtual Economies. - Raghav Bhaskar; Saikat Guha; Srivatsan Laxman; Prasad Naldurg (NDSS, 2013)

On Inferring Training Data Attributes in Machine Learning Models. - Benjamin Zi Hao Zhao; Hassan Jameel Asghar; Raghav Bhaskar; Mohamed Ali Kâafar (CoRR, 2019)

Privacy Preserving Text Data Encoding and Topic Modelling. - Dinusha Vatsalan; Raghav Bhaskar; Aris Gkoulalas-Divanis; Dimitrios Karapiperis (IEEE BigData, 2021)

On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models. - Benjamin Zi Hao Zhao; Aviral Agrawal; Catisha Coburn; Hassan Jameel Asghar; Raghav Bhaskar; Mohamed Ali Kâafar; Darren Webb; Peter Dickinson (EuroS&P, 2021)

Sharing in a Trustless World: Privacy-Preserving Data Analytics with Potentially Cheating Participants. - Tham Nguyen; Hassan Jameel Asghar; Raghav Bhaskar; Dali Kaafar; Farhad Farokhi (CoRR, 2021)

Privacy risk quantification in education data using Markov model. - Dinusha Vatsalan; Thierry Rakotoarivelo; Raghav Bhaskar; Paul Tyler; Djazia Ladjal (Br. J. Educ. Technol., 2022)

Local Differentially Private Fuzzy Counting in Stream Data using Probabilistic Data Structure. - Dinusha Vatsalan; Raghav Bhaskar; Mohamed Ali Kâafar (CoRR, 2022)

Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy. - Chuan Ma 001; Long Yuan 001; Li Han 001; Ming Ding 001; Raghav Bhaskar; Jun Li 004 (IEEE Trans. Knowl. Data Eng., 2023)

Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures. - Dinusha Vatsalan; Raghav Bhaskar; Mohamed Ali Kâafar (IEEE Trans. Knowl. Data Eng., 2023)

Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract). - Chuan Ma 001; Long Yuan 001; Li Han 001; Ming Ding 001; Raghav Bhaskar; Jun Li 004 (ICDE, 2024)