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20112026
most citedGossip Learning with Linear Models on Fully Distributed Data

155 citations · 156 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.DL2026

Beyond Journals: Rethinking Research Evaluation in Hungarian Computer Science

János Tapolcai, Márk Jelasity, Lajos Rónyai +3

This study examines the role of top-tier conference publications in Hungarian computer science research. We show that the national scientometric practice, which is currently journa…

cs.LG2026

WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents

Zhixiang Guo, Siyuan Liang, Shi Fu +4

Despite the growing use of world models as decision-making agents, their adversarial robustness remains underexplored due to the lack of dedicated automated evaluation methods. A k…

cs.LG2026

When World Models Dream Wrong: Physical-Conditioned Adversarial Attacks against World Models

Zhixiang Guo, Siyuan Liang, Andras Balogh +4

Generative world models (WMs) are increasingly used to synthesize controllable, sensor-conditioned driving videos, yet their reliance on physical priors exposes novel attack surfac…

cs.LG2026

Verification of the Implicit World Model in a Generative Model via Adversarial Sequences

András Balogh, Márk Jelasity

Generative sequence models are typically trained on sample sequences from natural or formal languages. It is a crucial question whether -- or to what extent -- sample-based trainin…

cs.LG2026

Detecting Semantic Backdoors in a Mystery Shopping Scenario

Arpad Berta, Gabor Danner, Istvan Hegedus +1

Detecting semantic backdoors in classification models--where some classes can be activated by certain natural, but out-of-distribution inputs--is an important problem that has rece…