Cryptography & Security · Wed, Nov 4, 2026

arXiv Cryptography and Security (cs.CR) and the IACR Cryptology ePrint Archive.

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arXiv quant-ph · cs.CC · cs.CR

Quantum Advantage has Few Complexity Implications

In briefA paper showing that quantum advantage has limited complexity implications

SummaryThe paper examines the complexity-theoretic consequences of proofs of quantumness and quantum-verifier oblivious state preparation. The authors give oracle evidence that both can exist even when P = NP or BQP = QCMA. Their oracle separations lead to conclusions about what relativizing proofs can and cannot establish for classical or quantum cryptography.

Eli Goldin, Alex Lombardi, Tomoyuki Morimae

★★★★☆ Notable
arXiv cs.CC · cs.CR

Information Loss Is All You Need: TC⁰ Pseudorandomness from Worst-Case Lattices

In briefInformation Loss Is All You Need: Post-Quantum TC⁰ Pseudorandomness from Worst-Case Lattices

SummaryThe paper introduces learning with algebraic rounding (LAR), which applies deterministic integer rounding to blocks of secret-dependent linear measurements and encodes the result in a lattice quotient. For a fixed family with polynomially bounded modulus and dimensions, the authors show these deterministic labels on uniform, secret-independent public matrices are computationally indistinguishable from uniform labels given any polynomial number of classical random examples. Security rests on quantum worst-case hardness of GapSVP and SIVP over general lattices at approximation factor Õ(q). The construction yields a post-quantum weak pseudorandom function with joint key-and-input evaluation in TC⁰, and the paper also proves hardness of learning polynomial-size two-hidden-layer ReLU networks from noiseless uniform random examples.

WhyThe authors propose learning with algebraic rounding, a deterministic-rounding construction giving a TC0 weak PRF from worst-case lattice hardness, plus ReLU network learning hardness.

Chen Qian

★★★★☆ Notable
arXiv cs.DS · cs.CR

The Power of Interaction in Locally Edge-Private Subgraph Counting

In briefInteractive Privacy Boosts Accuracy in Edge-Private Subgraph Counting

SummaryThis paper studies counting subgraphs of a fixed pattern in any undirected graph under interactive local edge differential privacy. The authors propose a two-round algorithm, Linear Noise Cancellation, with error O(n^{k-3/2}/ε^ℓ) on every graph, showing that one extra interaction round can polynomially improve worst-case accuracy over noninteractive methods. They also give a Predict and Correct framework for graphs with bounded maximum degree and prove matching lower bounds in n and d.

WhyThe authors propose a two-round interactive method improving triangle counting error by √n, with matching lower bounds showing tight bounds.

Xian Chen, Pan Peng