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Computer Science Preprint PDF DOI

Black-Box Skill Stealing Attack from Proprietary LLM Agents: An Empirical Study

Zihan Wang, Rui Zhang, Yu Liu, Chi Liu, Qingchuan Zhao, Hongwei Li, Guowen Xu · 2026

Large language model (LLM) agents increasingly rely on skills to package reusable capabilities through instructions, tools, and resources. High-quality skills embed expert knowledge, curated workflows…

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Computer Science Preprint PDF DOI

Generalized Two-Dimensional Index Modulation in the Code-Spatial Domain for LPWAN

Long Yuan, Wenkun Wen, Junlin Liu, Peiran Wu, Minghua Xia · 2026

Low-power wide-area networks (LPWANs) are crucial for large-scale Internet of Things (IoT) applications, yet they face increasing demands for higher data rates, improved reliability, and enhanced ener…

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Computer Science Preprint PDF DOI

A-IC3: Learning-Guided Adaptive Inductive Generalization for Hardware Model Checking

Xiaofeng Zhou, Guangyu Hu, Hongce Zhang, Wei Zhang · 2026

The IC3 algorithm represents the state-of-the-art (SOTA) hardware model checking technique, owing to its robust performance and scalability. A significant body of research has focused on enhancing the…

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Computer Science Preprint PDF DOI

A Metamorphic Testing Approach to Diagnosing Memorization in LLM-Based Program Repair

Milan De Koning, Ali Asgari, Pouria Derakhshanfar, Annibale Panichella · 2026

LLM-based automated program repair (APR) techniques have shown promising results in reducing debugging costs. However, prior results can be affected by data leakage: large language models (LLMs) may m…

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Computer Science Preprint PDF DOI

Physically Unclonable Functions for Secure IoT Authentication and Hardware-Anchored AI Model Integrity

Maryam Taghi Zadeh, Mohsen Ahmadi · 2026

The rapid integration of artificial intelligence (AI) into Internet of Things (IoT) and edge computing systems has intensified the need for robust, hardware-rooted trust mechanisms capable of ensuring…

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Computer Science Preprint PDF DOI

Breaking Bad: Interpretability-Based Safety Audits of State-of-the-Art LLMs

Krishiv Agarwal, Ramneet Kaur, Colin Samplawski, Manoj Acharya, Anirban Roy, Daniel Elenius, Brian Matejek, Adam D. Cobb, Susmit Jha · 2026

Effective safety auditing of large language models (LLMs) demands tools that go beyond black-box probing and systematically uncover vulnerabilities rooted in model internals. We present a comprehensiv…

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Computer Science Preprint PDF DOI

A New Paradigm Towards Reconfigurable Environment: Reconfigurable Distributed Antennas and Reflecting Surface

Jintao Wang, Pingping Zhang, Chengzhi Ma, Chengwang Ji, Zheng Shi, Guanghua Yang, Shaodan Ma · 2026

Reconfigurable distributed antennas and reflecting surface (RDARS) has emerged as a transformative solution to address the stringent requirements of future wireless networks. By combining distributed …

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Computer Science Preprint PDF DOI

FIKA: Expanding Dependency Reachability with Executability Guarantees

Yogya Gamage, Meriem Ben Chaaben, Martin Monperrus, Benoit Baudry · 2026

Automated third-party library analysis tools help developers by addressing key dependency management challenges, such as automating version updates, detecting vulnerabilities, and detecting breaking u…

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Computer Science Preprint PDF DOI

ZODIAC: Zero-shot Offline Diffusion for Inferring Multi-xApps Conflicts in Open Radio Access Networks

Zeyu Fang, Shu Hong, Huu Trung Thieu, Nakjung Choi, Tian Lan · 2026

Open Radio Access Network (O-RAN) enables network control through multi-vendor xApps operating both within and across layers, subnets, and domains, whose concurrent execution can trigger conflicts tha…

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Computer Science Preprint PDF DOI

LoopCTR: Unlocking the Loop Scaling Power for Click-Through Rate Prediction

Jiakai Tang, Runfeng Zhang, Weiqiu Wang, Yifei Liu, Chuan Wang, Xu Chen, Yeqiu Yang, Jian Wu, Yuning Jiang, Bo Zheng · 2026

Scaling Transformer-based click-through rate (CTR) models by stacking more parameters brings growing computational and storage overhead, creating a widening gap between scaling ambitions and the strin…

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Computer Science Preprint PDF DOI

Understanding Password Preferences, Memorability, and Security through a Human-Centered Lens

Duru Paker, Suleyman Ozdel, Enkelejda Kasneci · 2026

Passwords remain the primary authentication method, yet user-created passwords are often the weakest due to the security-usability trade-off. Although AI-based password generators are emerging, little…

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Computer Science Preprint PDF DOI

Suffix Random Access via Function Inversion: A Key for Asymmetric Streaming String Algorithms

Panagiotis Charalampopoulos, Taha El Ghazi, Jonas Ellert, Pawe{l} Gawrychowski, Tatiana Starikovskaya · 2026

Many string processing problems can be phrased in the streaming setting, where the input arrives symbol by symbol and we have sublinear working space. The area of streaming algorithms for string proce…

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Computer Science Preprint PDF DOI

When Transparency Falls Short: Auditing Platform Moderation During a High-Stakes Election

Benedetta Tessa, Gautam Kishore Shahi, Amaury Trujillo, Stefano Cresci · 2026

During major political events, social media platforms encounter increased systemic risks. However, it is still unclear if and how they adjust their moderation practices in response. The Digital Servic…

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Computer Science Preprint PDF DOI

Reliable Remote Inference from Unreliable Components: Joint Communication and Computation Limits

Zhenyu Liu, Yi Ma, Rahim Tafazolli · 2026

Classical information theory typically assumes reliable receiver-side processing. We study remote inference when communication is noisy and the receiver itself is built from unreliable components unde…

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Computer Science Preprint PDF DOI

Design Rules for Extreme-Edge Scientific Computing on AI Engines

Zhenghua Ma, G Abarajithan, Dimitrios Danopoulos, Olivia Weng, Francesco Restuccia, Ryan Kastner · 2026

Extreme-edge scientific applications use machine learning models to analyze sensor data and make real-time decisions. Their stringent latency and throughput requirements demand small batch sizes and r…

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Computer Science Preprint PDF DOI

A taxonomy for controlling (in)consistency

Marcelo E. Coniglio, Rafael Ongaratto · 2026

In this article, the hierarchy of LFIs L$_n^k$, Logics of Controlled Consistency (LCC), is introduced. Inspired by da Costa's original C$_n$ systems, this hierarchy can represent different degrees of …

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Computer Science Preprint PDF DOI

Co-Located Tests, Better AI Code: How Test Syntax Structure Affects Foundation Model Code Generation

Eric Jacopin · 2026

AI coding assistants increasingly generate code alongside tests. How developers structure test code, whether inline with the implementation or in separate blocks, has traditionally been a matter of te…

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Computer Science Preprint PDF DOI

Near-Codewords Aware Bit Flipping Decoding of QC-MDPC Codes

Alessio Baldelli, Marco Baldi, Davide De Zuane, Paolo Santini · 2026

Bit-Flipping (BF) decoders are a family of decoders widely employed in post-quantum cryptographic schemes based on Quasi-Cyclic Moderate-Density Parity-Check (QC-MDPC) codes, such as BIKE. BF decoders…

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Computer Science Preprint PDF DOI

WebCompass: Towards Multimodal Web Coding Evaluation for Code Language Models

Xinping Lei, Xinyu Che, Junqi Xiong, Chenchen Zhang, Yukai Huang, Chenyu Zhou, Haoyang Huang, Minghao Liu, Letian Zhu, Hongyi Ye, Jinhua Hao, Ken Deng, Zizheng Zhan, Han Li, Dailin Li, Yifan Yao, Ming Sun, Zhaoxiang Zhang, Jiaheng Liu · 2026

Large language models are rapidly evolving into interactive coding agents capable of end-to-end web coding, yet existing benchmarks evaluate only narrow slices of this capability, typically text-condi…

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Computer Science Preprint PDF DOI

Committed SAE-Feature Traces for Audited-Session Substitution Detection in Hosted LLMs

Ziyang Liu · 2026

Hosted-LLM providers have a silent-substitution incentive: advertise a stronger model while serving cheaper replies. Probe-after-return schemes such as SVIP leave a parallel-serve side-channel, since …

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