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๐Ÿ” tin vu ๐Ÿ“‚ Computer Science
Showing 6733 results for "tin vu" in Computer Science
Computer Science Preprint PDF DOI

FlashRT: Towards Computationally and Memory Efficient Red-Teaming for Prompt Injection and Knowledge Corruption

Yanting Wang, Chenlong Yin, Ying Chen, Jinyuan Jia ยท 2026

Long-context large language models (LLMs)-for example, Gemini-3.1-Pro and Qwen-3.5-are widely used to empower many real-world applications, such as retrieval-augmented generation, autonomous agents, aโ€ฆ

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When and How AI Should Assist Brainstorming for AI Impact Assessment

Jarod Govers, Sanja Scepanovic, Daniele Quercia ยท 2026

A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team brainstorming, and โ€ฆ

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WOOTdroid: Whole-system Online On-device Tracing for Android

Simon Althaus, Nikolaos Alexopoulos, Max Muhlhauser, Christian Reuter, Ephraim Zimmer ยท 2026

System auditing on Android faces two problems. First, existing syscall tracers lose events under load, silently overwriting entries faster than a user space reader can drain them. Second, security-relโ€ฆ

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Solving Hypergraph Laplacian Systems in Almost-Linear Time

Yuichi Yoshida ยท 2026

For a connected weighted hypergraph, we give a randomized almost-linear-time solver for the Poisson problem for the cut-based hypergraph Laplacian in the natural input size $P=\sum_{e\in E}|e|$, the sโ€ฆ

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A Reproducibility Study of LLM-Based Query Reformulation

Amin Bigdeli, Radin Hamidi Rad, Hai Son Le, Mert Incesu, Negar Arabzadeh, Charles L. A. Clarke, Ebrahim Bagheri ยท 2026

Large Language Models (LLMs) are now widely used for query reformulation and expansion in Information Retrieval, with many studies reporting substantial effectiveness gains. However, these results areโ€ฆ

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Evaluating Epistemic Guardrails in AI Reading Assistants: A Behavioral Audit of a Minimal Prototype

Matthew Christian Agustin ยท 2026

Large language model (LLM) reading assistants are increasingly used in settings that require interpretation rather than simple retrieval. In these contexts, the central risk is not only error or unsafโ€ฆ

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Few-Shot Accent Synthesis for ASR with LLM-Guided Phoneme Editing

Yurii Halychanskyi, Nimet Beyza Bozdag, Mark Hasegawa-Johnson, Dilek Hakkani-Tur, Volodymyr Kindratenko ยท 2026

Accented automatic speech recognition (ASR) often degrades due to the limited availability of accented training data. Prior work has explored accent modeling in low-resource settings, but existing appโ€ฆ

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SynSQL: Synthesizing Relational Databases for Robust Evaluation of Text-to-SQL Systems

Mohammadamin Habibollah, Davood Rafiei ยท 2026

Evaluating text-to-SQL systems remains largely fragile: correctness is typically judged by executing predicted and gold SQL queries on a single static database, even though the same queries may behaveโ€ฆ

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Online Monotone Metric Embeddings

Christian Coester, Yichen Huang ยท 2026

Metric embeddings into structured spaces, particularly hierarchically well-separated trees (HSTs), are a fundamental tool in the design of online algorithms. In the classical online embedding setting,โ€ฆ

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Towards Intelligent Computation Offloading in Dynamic Vehicular Networks: A Scalable Multilayer Pipeline

Falk Dettinger, Matthias Wei{ss}, Baran Can Gul, Sruthi Mangala Suresh, Nasser Jazdi, Michael Weyrich ยท 2026

Software Defined Vehicles face an increasing computational gap as advanced algorithms and frequent software updates demand more processing power while onboard hardware remains static throughout a vehiโ€ฆ

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Hard-to-Sample Distributions from Robust Extractors

Farzan Byramji, Daniel M. Kane, Jackson Morris, Anthony Ostuni ยท 2026

We provide a unified method for constructing explicit distributions which are difficult for restricted models of computation to generate. Our constructions are based on a new notion of robust extractoโ€ฆ

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Machine-Checked Cardinality Bounds for Masked Barrett Reduction: A 1-Bit Side-Channel Leakage Barrier in Post-Quantum Cryptographic Hardware

Ray Iskander, Khaled Kirah ยท 2026

Barrett reduction is the nonlinear core of every practical NTT-based post-quantum cryptography implementation. Existing composition frameworks (ISW, t-SNI, PINI, DOM) address Boolean masking over GF(2โ€ฆ

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D\'ej\`a Vu Packing: Optimizing FPGA Logic Clustering Runtime via Pattern Memoization

Milo Liebster, Amin Mohaghegh, Andrew Boutros ยท 2026

Implementing a digital circuit on an FPGA fabric requires clustering technology-mapped netlist primitives into coarser-granularity blocks that can be directly mapped to the physical resources availablโ€ฆ

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Measuring the Unmeasurable: Markov Chain Reliability for LLM Agents

Phat T. Tran-Truong, Xuan-Bach Le ยท 2026

Large language model (LLM) agents increasingly operate as sequential software systems, but their reliability is often summarized by scalar benchmark metrics. Metrics such as pass$@k$, pass$^k$, and thโ€ฆ

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Detecting Avalanche Effect in Adversarial Settings: Spotting the Encryption Loops in Ransomware

Nanqing Luo, Xusheng Li, Haizhou Wang, Shuangyi Zhu, Yuan Ma, Peng Liu ยท 2026

Spotting encryption loops in binary-only ransomware is a critical reverse engineering task. Since the existence of avalanche effect, an intrinsic characteristic of any secure encryption algorithms, isโ€ฆ

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Unfolding an Atomistic World: Atomistic Simulation of Reactor Pressure Vessel Steel Across Year-and-Meter Scales

Haozhi Han, Ruge Zhang, Haoquan Chen, Yifeng Chen, Haipeng Jia, Liang Yuan, Yunquan Zhang, Ting Cao, Yunxin Liu, Ya-Qin Zhang, Kun Li ยท 2026

Lifetime prediction of reactor pressure vessel (RPV) steel requires bridging atomistic degradation mechanisms with service-scale spatial and temporal regimes, from Angstroms and picoseconds to meters โ€ฆ

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Constructive Separations from Gate Elimination

Marco Carmosino, Ngu Dang, Tim Jackman ยท 2026

Gate elimination is the primary technique for proving explicit lower bounds against general Boolean circuits, including Li and Yang's state-of-the-art $3.1n - o(n)$ bound for affine dispersers (STOC 2โ€ฆ

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A Note on Interdiction of Linear Minimization Problems

Yu Cong, Kangyi Tian ยท 2026

Motivated by the FPTAS for connectivity interdiction of Huang et al. (IPCO'24), we isolate the part of the argument that does not use cuts. The setting is a minimization problem over a feasible-set faโ€ฆ

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Designing escalation criteria for international AI incident response: criteria, triggers, and thresholds

Francesca Gomez, Matthew Ball, Michael Harre, Lydia Preston, Josephine Schwab, Caio Machado ยท 2026

AI incident reporting requirements are emerging in regulation and policy, yet no operational criteria exist for determining when a detected AI incident warrants escalation beyond national handling to โ€ฆ

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Source-Code Analysis of iFogSim for Simulating Distributed IoT Architectures: Coverage, Challenges, and Enhancements

Milliam Maxime Zekeng Ndadji ยท 2026

Simulation is an indispensable tool for validating distributed IoT architectures before physical deployment, and iFogSim has emerged as one of the most widely adopted platform in the fog and edge compโ€ฆ

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