Indian Institute of Technology (IIT), Varanasi, Uttar Pradesh
Principal Investigator
Dr. SaiLakshmiBhavana Obbattu
Indian Institute Of Technology (BHU), Uttar Pradesh
About
Multiparty computation is about multiple parties each individually holding private inputs aim to compute a function on their inputs. Here the key requirement is that while computing the function output none of the parties should learn anything additional about each other's private input. Though theoretically computing any function while guaranteeing privacy is possible, the solutions are generic and may not always be efficient. For example consider the problem of private set intersection where parties want to compute intersection of their private sets following a generic solution would not be efficient. In this proposal the aim is to build efficient solutions for specific problem instances of multiparty computation
Source
Source
Anusandhan National Research Foundation/Science and Engineering Research Board (SERB), DST 2023-24
Science and Engineering Research Board (SERB), New Delhi
Anusandhan National Research Foundation (ANRF)
Quick Information
Area of Research
Computer Sciences and Information Technology
Focus Area
Cryptography, Secure Computation
Start Year
2024
End Year
2026
Sanction Amount
₹ 20.44 L
Status
Ongoing
Contact
oslbhavana2@gmail.com
Output
No. of Research Paper
00
Technologies (If Any)
00
No. of PhD Produced
00
No. of Patents
Filed :00
Grant :00
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