Demo Data from SIGIR 2026 / reviewers in the wild / expert
Kaishuo Cheng
dblp:290/2358
· DBLP profile ↗
4ranked-venue papers
1as first author
4since 2021 · last 2025
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 4 · 1 first-author · 4 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 · 68% Privacy and data protection · 18% Cryptographic protocols and secure computation · 14% |
Topics — the 8 heaviest of 8, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cryptographic protocols and secure computation › secure multiparty computation
adaptive security |
0.9 | 1 | 2025 | Adaptive Security for Constrained PRFs · CRYPTO (5) 2025 |
Cryptographic primitives and cryptanalysis
authenticated encryption |
0.9 | 1 | 2025 | Format-Preserving Compression-Tolerating Authenticated Encryption for Images · ASIACRYPT (6) 2025 |
Cryptographic primitives and cryptanalysis › pseudorandom functions
constrained pseudorandom functions |
0.9 | 1 | 2025 | Adaptive Security for Constrained PRFs · CRYPTO (5) 2025 |
Cryptographic primitives and cryptanalysis › encryption › property-preserving encryption
format-preserving encryption |
0.9 | 1 | 2025 | Format-Preserving Compression-Tolerating Authenticated Encryption for Images · ASIACRYPT (6) 2025 |
Cryptographic primitives and cryptanalysis
provable security |
0.9 | 1 | 2025 | Adaptive Security for Constrained PRFs · CRYPTO (5) 2025 |
Cryptographic primitives and cryptanalysis
pseudorandom functions |
0.9 | 1 | 2025 | Adaptive Security for Constrained PRFs · CRYPTO (5) 2025 |
Privacy and data protection
differential privacy |
0.6 | 1 | 2022 | Increasing Adversarial Uncertainty to Scale Private Similarity Testing · USENIX Security Symposium 2022 |
Privacy and data protection
privacy-preserving data analysis |
0.6 | 1 | 2022 | Increasing Adversarial Uncertainty to Scale Private Similarity Testing · USENIX Security Symposium 2022 |
Methods — techniques the papers use, named apart from their topics
constrained PRFs · 0.9differential privacy · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | Format-Preserving Compression-Tolerating Authenticated Encryption for Images
Alexandra Boldyreva, Kaishuo Cheng, Jehad Hussein |
ASIACRYPT (6) | 2 |
| 2025 | Adaptive Security for Constrained PRFs
Kaishuo Cheng, Joseph Jaeger |
CRYPTO (5) | 1 |
| 2025 | Privacy and Security of FIDO2 RevisitedabstractWe revisit the privacy and security analyses of FIDO2, a widely deployed standard for passwordless authentication on the Web. We discuss previous works and conclude that each of them has at least one of the following limitations: (i) impractical trusted setup assumptions, (ii) security models that are inadequate in light of state of the art of practical attacks, (iii) not analyzing FIDO2 as a whole, especially for its privacy guarantees. Our work addresses these gaps and proposes revised security models for privacy and authentication. Equipped with our new models, we analyze FIDO2 modularly and focus on its component protocols, WebAuthn and CTAP2, clarifying their exact security guarantees. In particular, our results, for the first time, establish privacy guarantees for FIDO2 as a whole. Furthermore, we suggest minor modifications that can help FIDO2 provably meet stronger privacy and authentication definitions and withstand known and novel attacks. Manuel Barbosa, Alexandra Boldyreva, Kaishuo Cheng, Luís Esquível |
Proc. Priv. Enhancing Technol. | 4 |
| 2022 | Increasing Adversarial Uncertainty to Scale Private Similarity Testing
Yiqing Hua, Armin Namavari, Kaishuo Cheng, Mor Naaman, Thomas Ristenpart |
USENIX Security Symposium | 3 |