Tootfinder

Asymmetry Vulnerability and Physical Attacks on Online Map Construction for Autonomous Driving
Yang Lou, Haibo Hu, Qun Song, Qian Xu, Yi Zhu, Rui Tan, Wei-Bin Lee, Jianping Wang
https://arxiv.org/abs/2509.06071

Asymmetry Vulnerability and Physical Attacks on Online Map Construction for Autonomous Driving
High-definition maps provide precise environmental information essential for prediction and planning in autonomous driving systems. Due to the high cost of labeling and maintenance, recent research has turned to online HD map construction using onboard sensor data, offering wider coverage and more timely updates for autonomous vehicles. However, the robustness of online map construction under adversarial conditions remains underexplored. In this paper, we present a systematic vulnerability anal…

Dual State-space Fidelity Blade (D-STAB): A Novel Stealthy Cyber-physical Attack Paradigm
Jiajun Shen, Hao Tu, Fengjun Li, Morteza Hashemi, Di Wu, Huazhen Fang
https://arxiv.org/abs/2507.06492

Dual State-space Fidelity Blade (D-STAB): A Novel Stealthy Cyber-physical Attack Paradigm
This paper presents a novel cyber-physical attack paradigm, termed the Dual State-Space Fidelity Blade (D-STAB), which targets the firmware of core cyber-physical components as a new class of attack surfaces. The D-STAB attack exploits the information asymmetry caused by the fidelity gap between high-fidelity and low-fidelity physical models in cyber-physical systems. By designing precise adversarial constraints based on high-fidelity state-space information, the attack induces deviations in hi…

Harnessing Information in Incentive Design
Raj Kiriti Velicheti, Subhonmesh Bose, Tamer Ba\c{s}ar
https://arxiv.org/abs/2509.02493 https://arxiv.org/pdf/25…

Harnessing Information in Incentive Design
Incentive design deals with interaction between a principal and an agent where the former can shape the latter's utility through a policy commitment. It is well known that the principal faces an information rent when dealing with an agent that has informational advantage. In this work, we embark on a systematic study of the effect of information asymmetry in incentive design games. Specifically, we first demonstrate that it is in principal's interest to decrease this information asymmetry. To m…

ShortageSim: Simulating Drug Shortages under Information Asymmetry
Mingxuan Cui, Yilan Jiang, Duo Zhou, Cheng Qian, Yuji Zhang, Qiong Wang
https://arxiv.org/abs/2509.01813 https…

ShortageSim: Simulating Drug Shortages under Information Asymmetry
Drug shortages pose critical risks to patient care and healthcare systems worldwide, yet the effectiveness of regulatory interventions remains poorly understood due to fundamental information asymmetries in pharmaceutical supply chains. We present \textbf{ShortageSim}, the first Large Language Model (LLM)-based multi-agent simulation framework that captures the complex, strategic interactions between drug manufacturers, institutional buyers, and regulatory agencies in response to shortage alert…

Learning to Incentivize: LLM-Empowered Contract for AIGC Offloading in Teleoperation
Zijun Zhan, Yaxian Dong, Daniel Mawunyo Doe, Yuqing Hu, Shuai Li, Shaohua Cao, Zhu Han
https://arxiv.org/abs/2508.03464

Learning to Incentivize: LLM-Empowered Contract for AIGC Offloading in Teleoperation
With the rapid growth in demand for AI-generated content (AIGC), edge AIGC service providers (ASPs) have become indispensable. However, designing incentive mechanisms that motivate ASPs to deliver high-quality AIGC services remains a challenge, especially in the presence of information asymmetry. In this paper, we address bonus design between a teleoperator and an edge ASP when the teleoperator cannot observe the ASP's private settings and chosen actions (diffusion steps). We formulate this as …

Verification Cost Asymmetry in Cognitive Warfare: A Complexity-Theoretic Framework
Joshua Luberisse
https://arxiv.org/abs/2507.21258 https://arxiv.org/pdf/…

Verification Cost Asymmetry in Cognitive Warfare: A Complexity-Theoretic Framework
Human verification under adversarial information flow operates as a cost-bounded decision procedure constrained by working memory limits and cognitive biases. We introduce the Verification Cost Asymmetry (VCA) coefficient, formalizing it as the ratio of expected verification work between populations under identical claim distributions. Drawing on probabilistically checkable proofs (PCP) and parameterized complexity theory, we construct dissemination protocols that reduce verification for truste…

Effects of Unplanned Incoming Flights on Airport Relief Processes after a Major Natural Disaster
Luka Van de Sype, Matthieu Vert, Alexei Sharpanskykh, Seyed Sahand Mohammadi Ziabari
https://arxiv.org/abs/2507.05150

Effects of Unplanned Incoming Flights on Airport Relief Processes after a Major Natural Disaster
The severity of natural disasters is increasing every year, impacting many people's lives. During the response phase of disasters, airports are important hubs where relief aid arrives and people need to be evacuated. However, the airport often forms a bottleneck in these relief operations due to the sudden need for increased capacity. Limited research has been done on the operational side of airport disaster management. Experts identify the main problems as, first, the asymmetry of information …

Demo: TOSense -- What Did You Just Agree to?
Xinzhang Chen, Hassan Ali, Arash Shaghaghi, Salil S. Kanhere, Sanjay Jha
https://arxiv.org/abs/2508.00659 https://

Demo: TOSense -- What Did You Just Agree to?
Online services often require users to agree to lengthy and obscure Terms of Service (ToS), leading to information asymmetry and legal risks. This paper proposes TOSense-a Chrome extension that allows users to ask questions about ToS in natural language and get concise answers in real time. The system combines (i) a crawler "tos-crawl" that automatically extracts ToS content, and (ii) a lightweight large language model pipeline: MiniLM for semantic retrieval and BART-encoder for answer relevanc…

CP violation in $K\to\mu^ \mu^-$ with and without time dependence through a tagged analysis
Giancarlo D'Ambrosio, Avital Dery, Yuval Grossman, Teppei Kitahara, Radoslav Marchevski, Diego Mart\'inez Santos, Stefan Schacht
https://arxiv.org/abs/2507.13445

CP violation in $K\toμ^+μ^-$ with and without time dependence through a tagged analysis
We point out that using current knowledge of ${\cal B}(K^0_L\toμ^+μ^-)$ and $ {\cal B}(K^0_L\to γγ)$, one can extract short-distance information from the combined measurement of the time-integrated CP asymmetry, $A_{\rm CP}(K^0\toμ^+μ^-)$, and of ${\cal B}(K^0_S\toμ^+μ^-)$. We discuss the interplay between this set of observables, and demonstrate that determining ${\rm sign}[A_{\rm CP}(K^0\toμ^+μ^-)]$ would eliminate the discrete ambiguity in the Standard Model prediction for ${\cal B…