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Capture-the-Flag (CTF) competitions are increasingly becoming a testbed for evaluating AI capabilities at solving security tasks, due to the controlled environments and objective success criteria. Existing evaluations have focused on how…

According to a recent survey with more than 4000 software developers, less than half of developers can spot security holes. As a result, software products present a low-security quality expressed by vulnerabilities that can be exploited by…

软件工程 · 计算机科学 2021-01-07 Tiago Espinha Gasiba , Ulrike Lechner , Maria Pinto-Albuquerque , Alae Zouitni

Team collaboration among individuals with diverse sets of expertise and skills is essential for solving complex problems. As part of an interdisciplinary effort, we studied the effects of Capture the Flag (CTF) game, a popular and engaging…

计算机与社会 · 计算机科学 2022-06-22 Sang-Yoon Chang , Kay Yoon , Simeon Wuthier , Kelei Zhang

Organizations have rapidly shifted infrastructure and applications over to public cloud computing services such as AWS (Amazon Web Services), Google Cloud Platform, and Azure. Unfortunately, such services have security models that are…

密码学与安全 · 计算机科学 2021-07-28 Nicholas Springer , Wu-chang Feng

As AI systems become increasingly capable, understanding their offensive cyber potential is critical for informed governance and responsible deployment. However, it's hard to accurately bound their capabilities, and some prior evaluations…

密码学与安全 · 计算机科学 2025-05-28 Artem Petrov , Dmitrii Volkov

Crowdsourced investigations shore up democratic institutions by debunking misinformation and uncovering human rights abuses. However, current crowdsourcing approaches rely on simplistic collaborative or competitive models and lack…

人机交互 · 计算机科学 2023-05-23 Sukrit Venkatagiri , Anirban Mukhopadhyay , David Hicks , Aaron Brantly , Kurt Luther

Cybersecurity training has become a crucial part of computer science education and industrial onboarding. Capture the Flag (CTF) competitions have emerged as a valuable, gamified approach for developing and refining the skills of…

密码学与安全 · 计算机科学 2025-06-02 Yuwei Yang , Skyler Grandel , Daniel Balasubramanian , Yu Huang , Kevin Leach

Are Capture-the-Flag competitions obsolete? In 2025, Cybersecurity AI (CAI) systematically conquered some of the world's most prestigious hacking competitions, achieving Rank #1 at multiple events and consistently outperforming thousands of…

Understanding how cognitive biases influence adversarial decision-making is essential for developing effective cyber defenses. Capture-the-Flag (CTF) competitions provide an ecologically valid testbed to study attacker behavior at scale,…

密码学与安全 · 计算机科学 2025-10-08 Carolina Carreira , Anu Aggarwal , Alejandro Cuevas , Maria José Ferreira , Hanan Hibshi , Cleotilde Gonzalez

Trade-offs such as "how much testing is enough" are critical yet challenging project decisions in software engineering. Most existing approaches adopt risk-driven or value-based analysis to prioritize test cases and minimize test runs.…

软件工程 · 计算机科学 2022-01-31 Junjie Wang , Ye Yang , Zhe Yu , Tim Menzies , Qing Wang

Rooted in collaborative efforts, cybersecurity spans the scope of cyber competitions and warfare. Despite extensive research into team strategy in sports and project management, empirical study in cyber-security is minimal. This gap…

密码学与安全 · 计算机科学 2023-07-21 Tristan J. Calay , Basheer Qolomany , Aos Mulahuwaish , Liaquat Hossain , Jacques Bou Abdo

Many of our critical infrastructure systems and personal computing systems have a distributed computing systems structure. The incentives to attack them have been growing rapidly as has their attack surface due to increasing levels of…

This article examines the integration of IT competitions, in particular Capture The Flag, into an information systems management course to fill skills gaps, particularly in the field of cybersecurity. An educational CTF team has been set up…

计算机与社会 · 计算机科学 2024-05-22 Yann Goetgheluck , Sarah Mernit , Julie Pereira

Capture The Flag (CTF) challenges are puzzles related to computer security scenarios. With the advent of large language models (LLMs), more and more CTF participants are using LLMs to understand and solve the challenges. However, so far no…

密码学与安全 · 计算机科学 2024-02-20 Minghao Shao , Boyuan Chen , Sofija Jancheska , Brendan Dolan-Gavitt , Siddharth Garg , Ramesh Karri , Muhammad Shafique

Popular Internet services in recent years have shown that remarkable things can be achieved by harnessing the power of the masses using crowd-sourcing systems. However, crowd-sourcing systems can also pose a real challenge to existing…

社会与信息网络 · 计算机科学 2012-05-22 Gang Wang , Christo Wilson , Xiaohan Zhao , Yibo Zhu , Manish Mohanlal , Haitao Zheng , Ben Y. Zhao

Crowdsourcing is a favorable computing paradigm for processing computer-hard tasks by harnessing human intelligence. However, generic crowdsourcing systems may lead to privacy-leakage through the sharing of worker data. To tackle this…

计算机科学与博弈论 · 计算机科学 2023-02-23 Xiangping Kang , Guoxian Yu , Jun Wang , Wei Guo , Carlotta Domeniconi , Jinglin Zhang

Crowdsourcing has evolved as an organizational approach to distributed problem solving and innovation. As contests are embedded in online communities and evaluation rights are assigned to the crowd, community members face a tension: they…

综合经济学 · 经济学 2024-04-23 Christoph Riedl , Tom Grad , Christopher Lettl

Crowdsourcing offers unprecedented potential for solving tasks efficiently by tapping into the skills of large groups of people. A salient feature of crowdsourcing---its openness of entry---makes it vulnerable to malicious behavior. Such…

社会与信息网络 · 计算机科学 2014-02-25 Victor Naroditskiy , Nicholas R. Jennings , Pascal Van Hentenryck , Manuel Cebrian

The concept of Capture the Flag (CTF) games for practicing cybersecurity skills is widespread in informal educational settings and leisure-time competitions. However, it is not much used in university courses. This paper summarizes our…

密码学与安全 · 计算机科学 2020-04-27 Jan Vykopal , Valdemar Švábenský , Ee-Chien Chang

Crowdsourced machine learning on competition platforms such as Kaggle is a popular and often effective method for generating accurate models. Typically, teams vie for the most accurate model, as measured by overall error on a holdout set,…

机器学习 · 计算机科学 2024-02-19 Ira Globus-Harris , Declan Harrison , Michael Kearns , Pietro Perona , Aaron Roth
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