Succinct Oblivious Tensor Evaluation and Applications: Adaptively-Secure Laconic Function Evaluation and Trapdoor Hashing for All Circuits
The episode discusses a paper on Succinct Oblivious Tensor Evaluation (OTE), which allows two parties to compute an additive secret sharing of a tensor product while keeping message sizes and setup information independent of vector dimensions. The work uses LWE hardness to enable efficient, verifiable cryptographic primitives for AI applications.