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Oblivious Transfer

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Computational Hardness AssumptionsThe RSA CryptosystemGarbled CircuitsMulti-Party Computation+1 more
oblivious-transfer ot-extension mpc-building-block complete-primitive

Core Idea

1-out-of-2 oblivious transfer (OT) is a protocol where a sender has two messages (m0, m1) and a receiver has a choice bit b. After the protocol, the receiver learns m_b but nothing about m_{1-b}, while the sender learns nothing about b. OT is a complete primitive for secure computation: any function can be securely computed using only OT as a building block (Kilian 1988). OT requires computational assumptions — it is impossible information-theoretically. OT extension protocols amortize expensive public-key operations, enabling millions of OTs from a small number of base OTs using only symmetric cryptography.

Explainer

Oblivious transfer (OT) is deceptively simple to state but extraordinarily powerful. In 1-out-of-2 OT, a sender holds two messages m0 and m1, and a receiver holds a bit b. After the protocol, the receiver learns m_b (the message they chose) and nothing about m_{1-b}, while the sender learns nothing about which message was chosen. Both parties are simultaneously ignorant: the sender doesn't know which message was taken, and the receiver doesn't know the message they didn't take. This dual ignorance is what makes OT non-trivial and impossible to achieve without computational assumptions.

OT can be constructed from various public-key assumptions. In the Naor-Pinkas protocol (based on CDH), the receiver sends a pair of group elements, one of which encodes their choice bit. The sender encrypts each message under the corresponding element. The algebraic structure ensures the receiver can decrypt only one message, while the sender cannot determine which one. More recent constructions use lattice-based assumptions, providing post-quantum security. What cannot be done is build OT from one-way functions alone (Impagliazzo-Rudich) — OT genuinely requires public-key-level assumptions, placing it strictly above symmetric primitives in the cryptographic hierarchy.

The theoretical significance of OT lies in its completeness for secure computation (Kilian, 1988): any efficiently computable function can be securely evaluated using OT as the only cryptographic building block. Combined with Yao's garbled circuits, this means two parties can securely compute any function as follows — the garbler constructs the garbled circuit, and the evaluator obtains their input labels via OT (one OT per input bit), ensuring the garbler doesn't learn which labels were selected. For multi-party computation, OT extensions and related techniques generalize this approach. OT is therefore the minimal cryptographic assumption for general secure computation without honest majority.

In practice, OT's main bottleneck is that each invocation requires public-key operations. OT extension (Ishai, Kilian, Nissim, Orlandi, 2003) is the breakthrough optimization: starting from a small number of "base" OTs (128 or 256, performed with expensive public-key crypto), the protocol generates any number of additional OTs using only symmetric operations (hash evaluations). The technique involves exchanging a matrix of bits and using the base OT keys to correlate rows, enabling the amortized cost per OT to drop to a few hash evaluations. Combined with the preprocessing model (precompute random OTs offline, convert to chosen-message OTs online using XOR), this makes practical MPC with millions of OTs feasible. Modern MPC systems can execute billions of OTs per second, transforming OT from a theoretical primitive into a practical workhorse.

Practice Questions 5 questions

Prerequisite Chain

Understanding ZeroThe Number ZeroCounting to FiveCounting to 10Counting to 20Counting a Set of Objects Up to 20Cardinality: The Last Number CountedMatching Numerals to QuantitiesSubitizing Small QuantitiesAddition Within 10Number Bonds to 10Addition Within 20Doubles and Near DoublesDoubles Facts Within 10Near Doubles Facts Within 20Mental Math Strategies for AdditionMental Math: Adding and Subtracting TensAddition Within 100Repeated Addition as MultiplicationMultiplication as Equal GroupsMultiplication: ArraysBasic Multiplication Facts (0s, 1s, 2s, 5s, 10s)Multiplication Facts Within 100Division as Equal SharingDivision as Grouping (Measurement Division)Division: Grouping (Repeated Subtraction) ModelDivision: Fair Sharing ModelDivision as Equal SharingDivision as GroupingBasic Division FactsDivision Facts Within 100Multiplication and Division Fact FamiliesRelationship Between Multiplication and DivisionDivision Facts as Inverse of MultiplicationRemainders and Quotients in DivisionDivision Word ProblemsMulti-Step Word ProblemsSolving Multi-Step Word ProblemsMultiplication Word ProblemsDivision Word ProblemsIntroduction to Long DivisionFactors and MultiplesPrime and Composite NumbersEquivalent FractionsRelating Fractions and DecimalsDecimal Place ValueIntegers and the Number LineComparing and Ordering IntegersAbsolute ValueAdding IntegersSubtracting IntegersMultiplying IntegersIntroduction to ExponentsOrder of OperationsInteger Order of OperationsVariable ExpressionsThe Distributive PropertyVariables and Expressions ReviewIntroduction to PolynomialsAdding and Subtracting PolynomialsMultiplying PolynomialsFactorialPermutationsCombinationsCounting Principles: Addition and Multiplication RulesIntroduction to Graph TheoryPropositional Logic FoundationsLogical EquivalencesBoolean AlgebraBoolean Type and Truth ValuesComparison Operators and Boolean TestsLogical Operators and Boolean AlgebraBoolean Algebra and Fundamental LawsLogic Gates FundamentalsImplementing Boolean Functions with GatesKarnaugh Map SimplificationCombinational Circuit DesignFlip-Flops and LatchesFinite State Machines (FSMs)Deterministic Finite Automata (DFA)Nondeterministic Finite Automata (NFA)Two-Way Finite AutomataNFA to DFA Conversion (Subset Construction)DFA Properties and Minimization AlgorithmsRegular Languages: Definition and CharacterizationContext-Free Grammars (CFGs)Pushdown Automata (PDA)Equivalence of CFGs and Pushdown AutomataClosure Properties of Context-Free LanguagesLimitations of Context-Free LanguagesPumping Lemma for Context-Free LanguagesTuring MachinesVariants of Turing Machines and EquivalenceNondeterministic Time Complexity and NPThe P vs. NP ProblemComplexity Class P: Polynomial TimeHash Functions and Collision ResistanceThe RSA CryptosystemComputational Hardness AssumptionsOblivious Transfer

Longest path: 100 steps · 538 total prerequisite topics

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