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Dual Learning Parity with (Regular) Noise
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Classroom Contents
Correlated Pseudorandom Functions from Variable-Density LPN
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- 1 Intro
- 2 Part I: Correlated pseudorandom functions
- 3 Part II: Low-complexity weak PRFs
- 4 Secure multi-party computation (MPC)
- 5 Secure MPC with preprocessing Beaver91
- 6 Pseudorandom correlation generator (PCG)
- 7 Pseudorandom correlation function (PCF)
- 8 Construction of PCFs
- 9 Weak pseudorandom function (weak PRF)
- 10 Function secret sharing (FSS)
- 11 Towards instantiating the building blocks
- 12 Dual Learning Parity with (Regular) Noise
- 13 Towards exponential stretch
- 14 A different point of view
- 15 Security Analysis
- 16 Security against XOR-related-key attacks
- 17 Concrete efficiency
- 18 Summary Variable-Density Learning Parity with Noise assumption - can be proven to withstand large class of attacks
