Demo Data from VLDB 2026 / reviewers in the wild / expert
Pranav Dahiya
dblp:350/0904
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 first-author · 1 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
1 paper |
Security and privacy of machine learning · 87% Cryptographic primitives and cryptanalysis · 13% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Security and privacy of machine learning
adversarial robustness |
0.8 | 1 | 2024 | Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks · USENIX Security Symposium 2024 |
Security and privacy of machine learning › adversarial robustness › certified robustness
randomized smoothing |
0.8 | 1 | 2024 | Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks · USENIX Security Symposium 2024 |
Cryptographic primitives and cryptanalysis
pseudorandom generators |
0.2 | 1 | 2024 | Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks · USENIX Security Symposium 2024 |
Methods — techniques the papers use, named apart from their topics
randomized smoothing · 0.8pseudorandom number generation · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | Machine Learning needs Better Randomness Standards: Randomised Smoothing and PRNG-based attacks
Pranav Dahiya, Ilia Shumailov, Ross J. Anderson |
USENIX Security Symposium | 1 |