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Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication...

Jung-Woo Chang (University of California, San Diego), Ke Sun (University of California, San Diego), Nasimeh Heydaribeni (University of California, San Diego), Seira Hidano (KDDI Research, Inc.), Xinyu Zhang (University of California, San Diego), Farinaz Koushanfar (University of California, San Diego)

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Robin David (Quarkslab), Luigi Coniglio (University of Trento), Mariano Ceccato (University of Verona)

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Lingzhi Wang (Northwestern University), Xiangmin Shen (Northwestern University), Weijian Li (Northwestern University), Zhenyuan LI (Zhejiang University), R. Sekar (Stony Brook University), Han Liu (Northwestern University), Yan Chen (Northwestern University)

Towards Establishing a Systematic Security Framework for Next Generation...

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How Different Tokenization Algorithms Impact LLMs and Transformer Models for Binary Code Analysis

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Magmaw: Modality-Agnostic Adversarial Attacks on Machine Learning-Based Wireless Communication...

QSynth – A Program Synthesis based approach for Binary...

Incorporating Gradients to Rules: Towards Lightweight, Adaptive Provenance-based Intrusion...

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