Anshu Yadav

dblp:120/1152 · DBLP profile ↗
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8ranked-venue papers
0as first author
8since 2021 · last 2025
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 7 · 7 since 2021Theory of computation · 2 · 2 since 2021
YearPublicationVenuePosition
2025 Zeroizing Attacks Against Evasive and Circular Evasive LWE
Shweta Agrawal 0001, Anuja Modi, Anshu Yadav, Shota Yamada 0001
TCC (2)3
2024 Strongly Secure Universal Thresholdizer
Ehsan Ebrahimi 0001, Anshu Yadav
ASIACRYPT (3)2
2023 Constant Input Attribute Based (and Predicate) Encryption from Evasive and Tensor LWE
Shweta Agrawal 0001, Melissa Rossi, Anshu Yadav, Shota Yamada 0001
CRYPTO (4)3
2023 Attribute-Based Multi-input FE (and More) for Attribute-Weighted Sums
Shweta Agrawal 0001, Junichi Tomida, Anshu Yadav
CRYPTO (4)3
2023 Broadcast, Trace and Revoke with Optimal Parameters from Polynomial Hardness
Shweta Agrawal 0001, Simran Kumari, Anshu Yadav, Shota Yamada 0001
EUROCRYPT (3)3
2022 Practical, Round-Optimal Lattice-Based Blind Signatures
abstract
Blind signatures are a fundamental cryptographic primitive with numerous practical applications. While there exist many practical blind signatures from number-theoretic assumptions, the situation is far less satisfactory from post-quantum assumptions. In this work, we provide the first overall practical, lattice-based blind signature, supporting an unbounded number of signature queries and additionally enjoying optimal round complexity. We provide a detailed estimate of parameters achieved -- we obtain a signature of size slightly above 45KB, for a core-SVP hardness of 109 bits. The run-times of the signer, user and verifier are also very small.
Shweta Agrawal 0001, Elena Kirshanova, Damien Stehlé, Anshu Yadav
CCS4
2022 Multi-input Attribute Based Encryption and Predicate Encryption
Shweta Agrawal 0001, Anshu Yadav, Shota Yamada 0001
CRYPTO (1)2
2022 Round-Optimal Lattice-Based Threshold Signatures, Revisited
abstract
Threshold signature schemes enable distribution of the signature issuing capability to multiple users, to mitigate the threat of signing key compromise. Though a classic primitive, these signatures have witnessed a surge of interest in recent times due to relevance to modern applications like blockchains and cryptocurrencies. In this work, we study round-optimal threshold signatures in the post-quantum regime and improve the only known lattice-based construction by Boneh et al. [CRYPTO'18] as follows: - Efficiency. We reduce the amount of noise flooding used in the construction from 2^Ω(λ) down to √Q, where Q is the bound on the number of generated signatures and λ is the security parameter. By using lattice hardness assumptions over polynomial rings, this allows to decrease the signature bit-lengths from Õ(λ³) to Õ(λ), bringing them significantly closer to practice. Our improvement relies on a careful analysis using Rényi divergence rather than statistical distance in the security proof. - Instantiation. The construction of Boneh et al. requires a standard signature scheme to be evaluated homomorphically. To instantiate this, we provide a homomorphism-friendly variant of Lyubashevsky’s signature [EUROCRYPT '12] which achieves low circuit depth by being "rejection-free" and uses an optimal, moderate noise flooding of √Q, matching the above. - Towards Adaptive Security. The construction of Boneh et al. satisfies only selective security, where all the corrupted parties must be announced before any signing query is made. We improve this in two ways: in the Random Oracle Model, we obtain partial adaptivity where signing queries can be made before the corrupted parties are announced but the set of corrupted parties must be announced all at once. In the standard model, we obtain full adaptivity, where parties can be corrupted at any time but this construction is in a weaker pre-processing model where signers must be provided correlated randomness of length proportional to the number of signatures, in an offline preprocessing phase.
Shweta Agrawal 0001, Damien Stehlé, Anshu Yadav
ICALP3