Demo Data from EDBT 2026 / reviewers in the wild / expert
Saroja Erabelli
dblp:329/5803
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2026
0000-0002-6003-7134ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 1 · 1 since 2021Theory of computation · 1 · 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
2 papers |
Privacy and data protection · 48% Cryptographic protocols and secure computation · 45% Cryptographic primitives and cryptanalysis · 6% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Privacy and data protection
differential privacy |
1.0 | 1 | 2026 | Shuffling Is Universal: Statistical Additive Randomized Encodings for All Functions · STOC 2026 |
Privacy and data protection › differential privacy › distributed differential privacy
shuffle model |
1.0 | 1 | 2026 | Shuffling Is Universal: Statistical Additive Randomized Encodings for All Functions · STOC 2026 |
Cryptographic protocols and secure computation › secure computation primitives
additive randomized encoding |
0.9 | 1 | 2025 | Additive Randomized Encodings from Public Key Encryption · CRYPTO (4) 2025 |
Cryptographic primitives and cryptanalysis › public-key cryptography
public-key encryption |
0.3 | 1 | 2025 | Additive Randomized Encodings from Public Key Encryption · CRYPTO (4) 2025 |
Methods — techniques the papers use, named apart from their topics
statistical additive randomized encoding · 1.0public-key encryption · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Shuffling Is Universal: Statistical Additive Randomized Encodings for All FunctionsabstractThe shuffle model is a widely used abstraction for non-interactive anonymous communication. It allows n parties holding private inputs x1,…,xn to simultaneously send messages to an evaluator, so that the messages are received in a random order. The evaluator can then compute a joint function f(x1,…,xn), ideally while learning nothing else about the private inputs. The model has become increasingly popular both in cryptography, as an alternative to non-interactive secure computation in trusted setup models, and even more so in differential privacy, as an intermediate between the high-privacy, little-utility local model and the little-privacy, high-utility central curator model. Nir Bitansky, Saroja Erabelli, Rachit Garg 0001, Yuval Ishai |
STOC | 2 |
| 2025 | Additive Randomized Encodings from Public Key Encryption
Nir Bitansky, Saroja Erabelli, Rachit Garg 0001 |
CRYPTO (4) | 2 |