activity
20132026
most citedA Framework for Adversarially Robust Streaming Algorithms

23 citations · 38 across the 9 of their papers we have counts for

collaborators

13 papers

cs.CL2026★ 3 cited

Accelerating Scientific Research with Gemini: Case Studies and Common Techniques

David P. Woodruff, Vincent Cohen-Addad, Lalit Jain +33

Recent advances in large language models (LLMs) have opened new avenues for accelerating scientific research. While models are increasingly capable of assisting with routine tasks,…

cs.CR2021

Distributional Collision Resistance Beyond One-Way Functions

Nir Bitansky, Iftach Haitner, Ilan Komargodski +1

Distributional collision resistance is a relaxation of collision resistance that only requires that it is hard to sample a collision where is uniformly random and i…

cs.LG2021

Adversarial Laws of Large Numbers and Optimal Regret in Online Classification

Noga Alon, Omri Ben-Eliezer, Yuval Dagan +3

Laws of large numbers guarantee that given a large enough sample from some population, the measure of any fixed sub-population is well-estimated by its frequency in the sample. We…

cs.DS2020★ 23 cited

A Framework for Adversarially Robust Streaming Algorithms

Omri Ben-Eliezer, Rajesh Jayaram, David P. Woodruff +1

We investigate the adversarial robustness of streaming algorithms. In this context, an algorithm is considered robust if its performance guarantees hold even if the stream is chose…

cs.DS2019

The Adversarial Robustness of Sampling

Omri Ben-Eliezer, Eylon Yogev

Random sampling is a fundamental primitive in modern algorithms, statistics, and machine learning, used as a generic method to obtain a small yet "representative" subset of the dat…

cs.DC2019★ 8 cited

Parallel Balanced Allocations: The Heavily Loaded Case

Christoph Lenzen, Merav Parter, Eylon Yogev

We study parallel algorithms for the classical balls-into-bins problem, in which balls acting in parallel as separate agents are placed into bins. Algorithms operate in syn…

cs.DC2018

The Power of Distributed Verifiers in Interactive Proofs

Moni Naor, Merav Parter, Eylon Yogev

We explore the power of interactive proofs with a distributed verifier. In this setting, the verifier consists of nodes and a graph that defines their communication pattern…

cs.DC2018

Low Congestion Cycle Covers and their Applications

Merav Parter, Eylon Yogev

A cycle cover of a bridgeless graph is a collection of simple cycles in such that each edge appears on at least one cycle. The common objective in cycle cover computati…

cs.DS2018

Congested Clique Algorithms for Graph Spanners

Merav Parter, Eylon Yogev

Graph spanners are sparse subgraphs that faithfully preserve the distances in the original graph up to small stretch. Spanner have been studied extensively as they have a wide rang…

cs.DS2017

Distributed Algorithms Made Secure: A Graph Theoretic Approach

Merav Parter, Eylon Yogev

In the area of distributed graph algorithms a number of network's entities with local views solve some computational task by exchanging messages with their neighbors. Quite unfortu…

cs.IR2016★ 4 cited

CB2CF: A Neural Multiview Content-to-Collaborative Filtering Model for Completely Cold Item Recommendations

Oren Barkan, Noam Koenigstein, Eylon Yogev +1

In Recommender Systems research, algorithms are often characterized as either Collaborative Filtering (CF) or Content Based (CB). CF algorithms are trained using a dataset of user…

cs.CR2014

Secret-Sharing for NP

Ilan Komargodski, Moni Naor, Eylon Yogev

A computational secret-sharing scheme is a method that enables a dealer, that has a secret, to distribute this secret among a set of parties such that a "qualified" subset of parti…

cs.DS2013

Sliding Bloom Filters

Moni Naor, Eylon Yogev

A Bloom filter is a method for reducing the space (memory) required for representing a set by allowing a small error probability. In this paper we consider a \emph{Sliding Bloom Fi…