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Multimodal Wireless Foundation Models

research note

Multimodal Wireless Foundation Models

·10 min read·Ahmed Aboulfotouh, Hatem Abou-Zeid

This paper tackles a concrete limitation in wireless foundation models: most prior WFMs are modality-specific, even though wireless systems expose multiple views of the same propagation event, incl…

researchmultimodal-learningwireless-foundation-modelsmasked-autoencodingself-supervised-learning

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Robust Streaming Against Low-Memory Adversaries

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Robust Streaming Against Low-Memory Adversaries

·8 min read·Omri Ben-Eliezer, Krzysztof Onak, Sandeep Silwal

This paper studies robust streaming algorithms under a novel adversarial model where the adversary is adaptive but memory constrained—either memoryless (no persistent memory) or low-memory (a small…

researchrobust-streamingadaptive-adversariesstreaming-algorithmsbounded-memory-adversary

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PassREfinder-FL: Privacy-Preserving Credential Stuffing Risk Prediction via Graph-Based Federated Learning for Representing Password Reuse between Websites

research note

PassREfinder-FL: Privacy-Preserving Credential Stuffing Risk Prediction via Graph-Based Federated Learning for Representing Password Reuse between Websites

·10 min read·Jaehan Kim, Minkyoo Song, Minjae Seo et al.

PassREfinder-FL tackles a practical problem that sits between pure detection and pure policy enforcement: how to predict which website pairs are likely to share reused passwords, so administrators …

researchcredential-stuffinggraph-neural-networksfederated-learningpassword-reuse

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