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ORCIDRaghav Bhaskar
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2020 – today
- 2024
[c14]Chuan Ma, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li:
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy (Extended abstract). ICDE 2024: 5721-5722- 2023
- [j5]Chuan Ma
, Long Yuan, Li Han, Ming Ding, Raghav Bhaskar, Jun Li:
Data Level Privacy Preserving: A Stochastic Perturbation Approach Based on Differential Privacy. IEEE Trans. Knowl. Data Eng. 35(4): 3619-3631 (2023) - [j4]Dinusha Vatsalan, Raghav Bhaskar, Mohamed Ali Kâafar:
Local Differentially Private Fuzzy Counting in Stream Data Using Probabilistic Data Structures. IEEE Trans. Knowl. Data Eng. 35(8): 8185-8198 (2023) - 2022
- [j3]Dinusha Vatsalan, Thierry Rakotoarivelo, Raghav Bhaskar, Paul Tyler, Djazia Ladjal:
Privacy risk quantification in education data using Markov model. Br. J. Educ. Technol. 53(4): 804-821 (2022) - [i9]Dinusha Vatsalan, Raghav Bhaskar, Mohamed Ali Kâafar:
Local Differentially Private Fuzzy Counting in Stream Data using Probabilistic Data Structure. CoRR abs/2208.05264 (2022) - 2021
- [c13]Dinusha Vatsalan, Raghav Bhaskar, Aris Gkoulalas-Divanis, Dimitrios Karapiperis:
Privacy Preserving Text Data Encoding and Topic Modelling. IEEE BigData 2021: 1308-1316 - [c12]Benjamin Zi Hao Zhao, Aviral Agrawal, Catisha Coburn, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kâafar, Darren Webb, Peter Dickinson:
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models. EuroS&P 2021: 232-251 - [i8]Benjamin Zi Hao Zhao, Aviral Agrawal, Catisha Coburn, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kâafar, Darren Webb, Peter Dickinson:
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models. CoRR abs/2103.07101 (2021) - [i7]Tham Nguyen, Hassan Jameel Asghar, Raghav Bhaskar, Dali Kaafar, Farhad Farokhi:
Sharing in a Trustless World: Privacy-Preserving Data Analytics with Potentially Cheating Participants. CoRR abs/2106.09904 (2021)
2010 – 2019
- 2019
- [i6]Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kâafar:
On Inferring Training Data Attributes in Machine Learning Models. CoRR abs/1908.10558 (2019) - 2013
- [c11]Raghav Bhaskar, Saikat Guha, Srivatsan Laxman, Prasad Naldurg:
Verito: A Practical System for Transparency and Accountability in Virtual Economies. NDSS 2013 - [c10]Prabhanjan Ananth, Raghav Bhaskar:
Non Observability in the Random Oracle Model. ProvSec 2013: 86-103 - [c9]Prabhanjan Ananth, Raghav Bhaskar, Vipul Goyal, Vanishree Rao:
On the (In)security of Fischlin's Paradigm. TCC 2013: 202-221 - 2012
- [c8]Raghav Bhaskar, Ragesh Jaiswal, Sidharth Telang:
Congestion lower bounds for secure in-network aggregation. WISEC 2012: 197-204 - [i5]Prabhanjan Ananth, Raghav Bhaskar:
Non Observability in the Random Oracle Model. IACR Cryptol. ePrint Arch. 2012: 710 (2012) - [i4]Prabhanjan Ananth, Raghav Bhaskar, Vipul Goyal, Vanishree Rao:
On the (In)security of Fischlin's Paradigm. IACR Cryptol. ePrint Arch. 2012: 721 (2012) - 2011
- [c7]Raghav Bhaskar, Abhishek Bhowmick, Vipul Goyal, Srivatsan Laxman, Abhradeep Thakurta:
Noiseless Database Privacy. ASIACRYPT 2011: 215-232 - [i3]Raghav Bhaskar, Abhishek Bhowmick, Vipul Goyal, Srivatsan Laxman, Abhradeep Thakurta:
Noiseless Database Privacy. IACR Cryptol. ePrint Arch. 2011: 487 (2011) - 2010
- [c6]Raghav Bhaskar, Srivatsan Laxman, Adam D. Smith, Abhradeep Thakurta:
Discovering frequent patterns in sensitive data. KDD 2010: 503-512
2000 – 2009
- 2008
- [c5]Sanjam Garg, Raghav Bhaskar, Satyanarayana V. Lokam:
Improved Bounds on Security Reductions for Discrete Log Based Signatures. CRYPTO 2008: 93-107 - [i2]Raghav Bhaskar, K. Chandrasekaran, Satyanarayana V. Lokam, Peter L. Montgomery, Ramarathnam Venkatesan, Yacov Yacobi:
On The Diffie-Hellman Assumption. IACR Cryptol. ePrint Arch. 2008: 525 (2008) - 2007
- [j2]Raghav Bhaskar, Javier Herranz, Fabien Laguillaumie:
Aggregate designated verifier signatures and application to secure routing. Int. J. Secur. Networks 2(3/4): 192-201 (2007) - [j1]Daniel Augot, Raghav Bhaskar, Valérie Issarny, Daniele Sacchetti:
A three round authenticated group key agreement protocol for ad hoc networks. Pervasive Mob. Comput. 3(1): 36-52 (2007) - [c4]Raghav Bhaskar, K. Chandrasekaran, Satyanarayana V. Lokam, Peter L. Montgomery, Ramarathnam Venkatesan, Yacov Yacobi:
Vulnerabilities in Anonymous Credential Systems. STM@ESORICS 2007: 141-148 - 2006
- [b1]Raghav Bhaskar:
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). École Polytechnique, Palaiseau, France, 2006 - [c3]Raghav Bhaskar, Javier Herranz, Fabien Laguillaumie:
Efficient Authentication for Reactive Routing Protocols. AINA (2) 2006: 57-61 - [i1]Raghav Bhaskar, Paul Mühlethaler, Daniel Augot, Cédric Adjih, Saadi Boudjit, Anis Laouiti:
Efficient and Dynamic Group Key Agreement in Ad hoc Networks. CoRR abs/cs/0611027 (2006) - 2005
- [c2]Daniel Augot, Raghav Bhaskar, Valérie Issarny, Daniele Sacchetti:
An Efficient Group Key Agreement Protocol for Ad Hoc Networks. WOWMOM 2005: 576-580 - 2003
- [c1]Raghav Bhaskar, Pradeep K. Dubey, Vijay Kumar, Atri Rudra:
Efficient galois field arithmetic on SIMD architectures. SPAA 2003: 256-257
Coauthor Index
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