20 results for “ISA understanding”
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The first formal verification of an out-of-order multiprocessor against an in-order, weak-memory ISA using a core specification and mechanized proofs in Rocq.
The paper introduces an Integrated, cross-Architecture Reasoning (IAR) framework to provide a unified and robust method for interpreting the opaque reasoning processes within Large Language Models.
This paper proposes a physical layer authentication mechanism using integrated sensing and communication (ISAC) to reconstruct environment layout, infer propagation channels, and authenticate transmit…
Zexin Fang, Bin Han, Donglin Wang, Fengchen Pei +1 more
This paper proposes a Fisher information density (FID)-constrained trajectory sharing scheme for robot collision avoidance under GDPR regulations, achieving better privacy-utility tradeoff than fixed-…
This paper proposes a vision-assisted OFDM-ISAC framework that fuses wireless and visual modalities to resolve ambiguity in multi-target scenarios and achieve better localization and delay performance…
Yunfan Bai, Yuwen Qian, Cheng Zeng, Zhen Mei +4 more
This paper proposes CoSMIC, a framework for semantic integrated sensing and communication (ISAC) that embeds semantic information into waveforms while maintaining covertness and sensing fidelity.
This paper proposes a hybrid TRP-UE sensing mechanism for Integrated Sensing and Communication (ISAC) systems to improve network-based sensing performance in challenging indoor factory environments.
The paper argues that current Software Bills of Materials (SBOMs) are fundamentally flawed due to a lack of shared understanding regarding what constitutes a 'component,' demonstrating that existing t…
Jeremy Avigad, Anat Ganor, Lior Goldberg, David Levit +3 more
This paper formally verifies that the algebraic intermediate representation (AIR) used by the S-two prover correctly captures the computational semantics of the Cairo virtual machine language, ensurin…
This paper derives the Cramer-Rao lower bound for 3D localization in UAV-assisted ISAC systems and validates the results through simulations.
This study investigated whether Security Operations Center (SOC) analysts can justify their decisions when triaging alarms, finding that while they are often correct in identifying true threats, they…
This paper proposes a definition for 'AI-nativeness' in systems, based on an AI agent's authority over system decisions.
Dheeraj Raja Kumar, Mert Ozates, Yong Jin Daniel Kim, David Vargas +10 more
ETSI ISG MAT report compares 3GPP-specified and candidate downlink multiple access techniques for 3GPP-based 6G systems, assessing their spectral efficiency and implications.
The paper proves equivalence between big-step and small-step derivations for Horn clauses and transforms Horn clauses into equivalent sets of clauses based on the given derivation strategy.
Hamid Reza Hashempour, Yanjiao Li, Jie Zhang, Hyundong Shin +1 more
This paper proposes a framework for integrated sensing and communication (ISAC) using mMIMO OFDM and ISAR imaging, developing an adaptive ADMM algorithm for high-resolution image recovery and a joint…
Yusheng Zheng, Zhengjie Ji, Weichen Tao, Hao Sun +3 more
The paper introduces Kops, an extension interface for eBPF that allows userspace compilers and kernel modules to introduce new operations without modifying the kernel core, improving performance and r…
This paper investigates the forensic analysis of agentic AI systems using OpenClaw, proposing an agent artifact taxonomy and highlighting the challenges posed by non-determinism in agent-mediated exec…
The paper proposes a novel formal verification method for proving the probing security of masked cryptosystems by connecting the noninterference property to conditional independence and utilizing prob…
Onur Günlü, Stefano Tomasin, João P. Vilela, Francesco Chiti +3 more
This paper analyzes the privacy challenges posed by Integrated Sensing and Communication (ISAC) in 6G networks by classifying sensitive data into three levels (location, behavioral, and physiological)…
The paper introduces Hyperparam, a set of lightweight JavaScript libraries designed to enable direct, model-aware querying of unstructured data (like agent traces) within client-side AI applications.