Binyi Chen

dblp:133/2004 · DBLP profile ↗
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15ranked-venue papers
4as first author
10since 2021 · last 2025
0000-0003-0835-9678ORCID · corroborated

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

Security and privacy · 14 · 4 first-author · 10 since 2021Artificial intelligence and machine learning · 1Graphics, computer vision, multimedia, augmented reality and games · 1
YearPublicationVenuePosition
2025 LatticeFold: A Lattice-Based Folding Scheme and Its Applications to Succinct Proof Systems
Dan Boneh, Binyi Chen
ASIACRYPT (3)2
2025 Pairing-Based Batch Arguments for NP with a Linear-Size CRS
Binyi Chen, Noel Elias, David J. Wu 0001
ASIACRYPT (5)1
2025 LatticeFold+: Faster, Simpler, Shorter Lattice-Based Folding for Succinct Proof Systems
Dan Boneh, Binyi Chen
CRYPTO (7)2
2025 Blaze: Fast SNARKs from Interleaved RAA Codes
Martijn Brehm, Binyi Chen, Ben Fisch, Nicolas Resch, Ron Rothblum, Hadas Zeilberger
EUROCRYPT (4)2
2025 VerITAS: Verifying Image Transformations at Scale
abstract
Verifying image provenance has become an important topic, especially in the realm of news media. To address this issue, the Coalition for Content Provenance and Authenticity (C2PA) developed a standard to verify image provenance that relies on digital signatures produced by cameras. However, photos are usually edited before being published, and a signature on an original photo cannot be verified given only the published edited image. In this work, we describe VerITAS, a system that uses zero-knowledge proofs (zk-SNARKs) to prove that only certain edits have been applied to a signed photo. While past work has created image editing proofs for photos, VerITAS is the first to do so for realistically large images (30 megapixels). Our key innovation enabling this leap is the design of a new proof system that enables proving knowledge of a valid signature on a large amount of witness data. We run experiments on realistically large images that are more than an order of magnitude larger than those tested in prior work. In the case of a computationally weak signer, such as a camera, we are able to generate a proof of valid edits for a 90 MB image in just over thirteen minutes, costing about $0.54 on AWS per image. In the case of a more powerful signer, we are able to generate a proof of valid edits for a 90 MB image in just over three minutes, costing only $0.13 on AWS per image. Either way, proof verification time is less than a second. Our techniques apply broadly whenever there is a need to prove that an efficient transformation was applied correctly to a large amount of signed private data.
Trisha Datta, Binyi Chen, Dan Boneh
SP2
2024 Mangrove: A Scalable Framework for Folding-Based SNARKs
Wilson Nguyen, Trisha Datta, Binyi Chen, Nirvan Tyagi, Dan Boneh
CRYPTO (10)3
2024 BaseFold: Efficient Field-Agnostic Polynomial Commitment Schemes from Foldable Codes
Hadas Zeilberger, Binyi Chen, Ben Fisch
CRYPTO (10)2
2023 Protostar: Generic Efficient Accumulation/Folding for Special-Sound Protocols
Benedikt Bünz, Binyi Chen
ASIACRYPT (2)2
2023 HyperPlonk: Plonk with Linear-Time Prover and High-Degree Custom Gates
Binyi Chen, Benedikt Bünz, Dan Boneh, Zhenfei Zhang
EUROCRYPT (2)1
2023 VeriZexe: Decentralized Private Computation with Universal Setup
Alex Luoyuan Xiong, Binyi Chen, Zhenfei Zhang, Benedikt Bünz, Ben Fisch, Fernando Krell, Philippe Camacho
USENIX Security Symposium2
2019 Continuous Space-Bounded Non-malleable Codes from Stronger Proofs-of-Space
Binyi Chen, Yilei Chen 0001, Kristina Hostáková, Pratyay Mukherjee
CRYPTO (1)1
2019 Memory-Hard Functions from Cryptographic Primitives
Binyi Chen, Stefano Tessaro
CRYPTO (2)1
2017 Scrypt Is Maximally Memory-Hard
Joël Alwen, Binyi Chen, Krzysztof Pietrzak, Leonid Reyzin, Stefano Tessaro
EUROCRYPT (3)2
2016 On the Complexity of Scrypt and Proofs of Space in the Parallel Random Oracle Model
Joël Alwen, Binyi Chen, Chethan Kamath, Vladimir Kolmogorov, Krzysztof Pietrzak, Stefano Tessaro
EUROCRYPT (2)2
2013 Collaborative Topic Regression with Social Regularization for Tag Recommendation
Hao Wang 0014, Binyi Chen, Wu-Jun Li
IJCAI2