activity
20182026
most citedMemory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms

4 citations · 4 across the 6 of their papers we have counts for

collaborators

9 papers

cs.NI2026

Network Topologies for QKD Networks

Ori Rottenstreich, Ran Hasson Ruso, Eliahu Cohen

Quantum key distribution (QKD) is a method for distributing cryptographic keys between remote endpoints, enjoying security based on quantum physics. This paper makes a first step t…

cs.CL2026

Decoding-Level Taboo: A Diagnostic Stress Test for LLM Robustness

Tadanobu Chuyo Kamijo, Ori Rottenstreich, Javier Conde +2

Large language model evaluations typically focus on performance under nominal conditions, creating an illusion of capability where models comfortably walk a narrow, highly optimize…

cs.AI2026

Learning Filters with Certainty

Yuval Banoun, Daniel Sadoc Menasche, Ori Rottenstreich

Hash-based data structures such as Bloom filters are widely used in network systems for tasks including caching, anomaly detection, and machine learning pipelines. They typically p…

cs.NI2025

CertainSync: Rateless Set Reconciliation with Certainty

Tomer Keniagin, Eitan Yaakobi, Ori Rottenstreich

Set reconciliation is a fundamental task in distributed systems, particularly in blockchain networks, where it enables synchronization of transaction pools among peers and facilita…

cs.DC2020

A Computational Approach to Packet Classification

Alon Rashelbach, Ori Rottenstreich, Mark Silberstein

Multi-field packet classification is a crucial component in modern software-defined data center networks. To achieve high throughput and low latency, state-of-the-art algorithms st…

cs.DS20194 cited

Memory-Efficient Performance Monitoring on Programmable Switches with Lean Algorithms

Zaoxing Liu, Samson Zhou, Ori Rottenstreich +2

Network performance problems are notoriously difficult to diagnose. Prior profiling systems collect performance statistics by keeping information about each network flow, but maint…