Demo Data from SIGIR 2026 / reviewers in the wild / expert
Wang Fat Lau
dblp:250/5799
· DBLP profile ↗
4ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-9260-7293ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 4 · 2 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
3 papers |
Cryptographic primitives and cryptanalysis · 55% Cryptographic protocols and secure computation · 27% Privacy and data protection · 12% |
Topics — the 11 heaviest of 15, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic protocols and secure computation › proof systems
arguments of knowledge |
0.8 | 1 | 2024 | Efficient Zero-Knowledge Arguments For Paillier Cryptosystem · SP 2024 |
Cryptographic primitives and cryptanalysis › homomorphic encryption
paillier cryptosystem |
0.8 | 1 | 2024 | Efficient Zero-Knowledge Arguments For Paillier Cryptosystem · SP 2024 |
Cryptographic primitives and cryptanalysis › public-key cryptography
public-key encryption |
0.8 | 1 | 2024 | Efficient Zero-Knowledge Arguments For Paillier Cryptosystem · SP 2024 |
Cryptographic protocols and secure computation › proof systems
zero-knowledge proofs |
0.8 | 1 | 2024 | Efficient Zero-Knowledge Arguments For Paillier Cryptosystem · SP 2024 |
Cryptographic primitives and cryptanalysis › searchable encryption
forward and backward privacy |
0.6 | 1 | 2022 | Geometric Range Search on Encrypted Data With Forward/Backward Security · IEEE Trans. Dependable Secur. Comput. 2022 |
Privacy and data protection
geometric range query |
0.6 | 1 | 2022 | Geometric Range Search on Encrypted Data With Forward/Backward Security · IEEE Trans. Dependable Secur. Comput. 2022 |
Cryptographic primitives and cryptanalysis
searchable encryption |
0.6 | 1 | 2022 | Geometric Range Search on Encrypted Data With Forward/Backward Security · IEEE Trans. Dependable Secur. Comput. 2022 |
Cryptographic primitives and cryptanalysis › public-key cryptography › digital signatures › discrete logarithm signature
ECDSA |
0.4 | 1 | 2020 | Practical Escrow Protocol for Bitcoin · IEEE Trans. Inf. Forensics Secur. 2020 |
Cryptographic primitives and cryptanalysis › public-key cryptography › digital signatures › non-transferable signatures
verifiably encrypted signatures |
0.4 | 1 | 2020 | Practical Escrow Protocol for Bitcoin · IEEE Trans. Inf. Forensics Secur. 2020 |
Cryptographic protocols and secure computation › proof systems › zero-knowledge proofs › zero-knowledge set membership proof
range proof |
0.2 | 1 | 2024 | Efficient Zero-Knowledge Arguments For Paillier Cryptosystem · SP 2024 |
Privacy and data protection › data confidentiality
content privacy |
0.2 | 1 | 2022 | Geometric Range Search on Encrypted Data With Forward/Backward Security · IEEE Trans. Dependable Secur. Comput. 2022 |
Methods — techniques the papers use, named apart from their topics
sublinear argument system · 0.8constraint system · 0.8security notion definition · 0.6dynamic SSE construction · 0.6verifiably encrypted ECDSA · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Efficient Zero-Knowledge Arguments For Paillier CryptosystemabstractWe present an efficient zero-knowledge argument of knowledge system customized for the Paillier cryptosystem. Our system enjoys sublinear proof size, low verification cost, and acceptable proof generation effort, while also supporting batch proof generation/verification. Existing works specialized for Paillier cryptosystem feature linear proof size and verification time. Using existing sublinear argument systems for generic statements (e.g., zk-SNARK) results in unaffordable proof generation cost since it involves translating the relations to be proven into an inhibitive large Boolean or arithmetic circuit over a prime order field. Our system does not suffer from these limitations.The core of our argument systems is a constraint system defined over the ring of residue classes modulo a composite number, together with novel techniques tailored for arguing binary values in this setting. We then adapt the approach from Bootle et al. (EUROCRYPT 2016) to compile the constraint system into a sublinear argument system. Our constraint system is generic and can be used to express typical relations in Paillier cryptosystems including range proof, correctness proof, relationships between bits of plaintext, relationships of plaintexts among multiple ciphertexts, and more. Our argument supports batch proof generation and verification, with the amortized cost outperforming state-of-the-art protocol specialized for Paillier when the number of Paillier ciphertext is in the order of hundreds.We report an end-to-end prototype and conduct comprehensive experiments across multiple scenarios. Scenario 1 is Paillier with packing. When we pack 25.6K bits into 400 ciphertexts, a proof that all these ciphertexts are correctly computed is 17 times smaller and is 3 times faster to verify compared with the naive implementation: using 25.6K OR-proofs without packing. Furthermore, we can prove additional statements almost for free, e.g., one can prove that the sum of a subset of the witness bits is less than a threshold t. Another scenario is range proof. To prove that each plaintext in 200 Paillier ciphertexts is of size 256 bits, our proof size is 10 times smaller than the state-of-the-art. Our analysis suggests that our system is asymptotically more efficient than existing protocols, and is highly suitable for scenarios involving a large number (more than 100) of Paillier ciphertexts, which is often the case for data analytics applications. Borui Gong, Wang Fat Lau, Man Ho Au, Rupeng Yang, Haiyang Xue, Lichun Li |
SP | 2 |
| 2022 | Geometric Range Search on Encrypted Data With Forward/Backward SecurityabstractThis article presents two dynamic symmetric searchable encryption schemes for geometric range search. Our constructions are the first to provide forward/backward security in the context of SSE-based schemes supporting geometric range search. Besides, we define a security notion called content privacy. This security notion captures the leakages that are critical in the context of geometric range search but not considered by forward/backward security. Content privacy eliminates the leakage on the updated points of the database during both search and update. Due to the inherent leakages associated with range queries, none of the existing related works can support content privacy, whereas the design of our constructions avoids such leakages. When compared to the state-of-the-art schemes, our constructions provide a higher level of security and practical efficiency supported by our experimental results. Shabnam Kasra Kermanshahi, Shifeng Sun 0001, Joseph K. Liu, Ron Steinfeld, Surya Nepal, Wang Fat Lau, Man Ho Au |
IEEE Trans. Dependable Secur. Comput. | 6 |
| 2020 | Practical Escrow Protocol for BitcoinabstractAn escrow protocol for Bitcoin allows fair trading using bitcoins. To ensure fairness, the existing proposals made various trade-offs between trust, privacy, and efficiency. In this work, we evaluate the existing escrow protocols for cryptocurrency and propose a practical escrow protocol for Bitcoin that is: (a) computationally efficient; (b) round efficient; and (c) privacy-preserving. The core component of our escrow protocol for Bitcoin is a new verifiably encrypted ECDSA scheme, which may be of independent interest. Furthermore, we implement the escrow protocol for Bitcoin in Bitcoin mainnet, demonstrating the feasibility of our protocol. Xiao Yang 0020, Wang Fat Lau, Qingqing Ye 0001, Man Ho Au, Joseph K. Liu, Jacob Cheng |
IEEE Trans. Inf. Forensics Secur. | 2 |
| 2019 | A Secure and Efficient Privacy-Preserving Authentication Scheme for Vehicular Networks with Batch Verification Using Cuckoo Filter
Wang Fat Lau, Man Ho Au |
NSS | 2 |