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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…

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…

By 2028 most cybersecurity actions will be autonomous, with humans teleoperating. We present the first classification of autonomy levels in cybersecurity and introduce Cybersecurity AI (CAI), an open-source framework that democratizes…

Crowdsourcing, in which human intelligence and productivity is dynamically mobilized to tackle tasks too complex for automation alone to handle, has grown to be an important research topic and inspired new businesses (e.g., Uber, Airbnb).…

计算机与社会 · 计算机科学 2023-09-20 Shipeng Wang , Qingzhong Li , Lizhen Cui , Zhongmin Yan , Yonghui Xu , Zhuan Shi , Xinping Min , Zhiqi Shen , Han Yu

The crowd sourced security industry, particularly bug bounty programs, has grown dramatically over the past years and has become the main source of software security reviews for many companies. However, the academic literature has largely…

密码学与安全 · 计算机科学 2022-04-28 Alejandro Cuevas , Emma Hogan , Hanan Hibshi , Nicolas Christin

Capability evaluations are required to understand and regulate AI systems that may be deployed or further developed. Therefore, it is important that evaluations provide an accurate estimation of an AI system's capabilities. However, in…

人工智能 · 计算机科学 2025-07-22 Felix Hofstätter , Teun van der Weij , Jayden Teoh , Rada Djoneva , Henning Bartsch , Francis Rhys Ward

Crowdsourcing can solve problems that current fully automated systems cannot. Its effectiveness depends on the reliability, accuracy, and speed of the crowd workers that drive it. These objectives are frequently at odds with one another.…

人机交互 · 计算机科学 2014-08-29 Walter S. Lasecki , Christopher M. Homan , Jeffrey P. Bigham

Artificial Intelligence (AI) has burrowed into our lives in various aspects; however, without appropriate testing, deployed AI systems are often being criticized to fail in critical and embarrassing cases. Existing testing approaches mainly…

人工智能 · 计算机科学 2018-10-23 Siwei Fu , Anbang Xu , Xiaotong Liu , Huimin Zhou , Rama Akkiraju

Building teams and promoting collaboration are two very common business activities. An example of these are seen in the TeamingForFunding problem, where research institutions and researchers are interested to identify collaborative…

人工智能 · 计算机科学 2024-01-26 Siva Likitha Valluru , Biplav Srivastava , Sai Teja Paladi , Siwen Yan , Sriraam Natarajan

We empirically evaluate whether AI systems are more effective at attacking or defending in cybersecurity. Using CAI (Cybersecurity AI)'s parallel execution framework, we deployed autonomous agents in 23 Attack/Defense CTF battlegrounds.…

Crowdsourcing is now widely used to replace judgement by an expert authority with an aggregate evaluation from a number of non-experts, in applications ranging from rating and categorizing online content to evaluation of student assignments…

计算机科学与博弈论 · 计算机科学 2013-03-05 Anirban Dasgupta , Arpita Ghosh

This case study examines the ClimaTech Great Global Innovation Challenge's approach to selecting climate tech startups by integrating human and AI evaluations. The competition aimed to identify top startups and enhance the accuracy and…

计算机与社会 · 计算机科学 2025-05-29 Jennifer Turliuk , Alejandro Sevilla , Daniela Gorza , Tod Hynes

The evolution of AI is advancing rapidly, creating both challenges and opportunities for industry-community collaboration. In this work, we present a novel methodology aiming to facilitate this collaboration through crowdsourcing of AI…

机器学习 · 计算机科学 2021-03-26 Parthasarathy Suryanarayanan , Sundar Saranathan , Shilpa Mahatma , Divya Pathak

Operational Technology (OT) cybersecurity increasingly relies on rapid response across malware analysis, network forensics, and reverse engineering disciplines. We examine the performance of Cybersecurity AI (CAI), powered by the…

This paper tackles the critical challenge of human-AI complementarity in decision-making. Departing from the traditional focus on algorithmic performance in favor of performance of the human-AI team, and moving past the framing of…

人工智能 · 计算机科学 2025-11-04 Ruijiang Gao , Maytal Saar-Tsechansky , Maria De-Arteaga

AI systems increasingly assist human decision making by producing preliminary assessments of complex inputs. However, such AI-generated assessments can often be noisy or systematically biased, raising a central question: how should costly…

机器学习 · 统计学 2026-03-17 Lezhi Tan , Naomi Sagan , Lihua Lei , Jose Blanchet

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

Crowdsourcing has become an important tool to collect data for various artificial intelligence applications and auction can be an effective way to allocate work and determine reward in a crowdsourcing platform. In this paper, we focus on…

计算机科学与博弈论 · 计算机科学 2022-02-22 Timothy Shin Heng Mak , Albert Y. S. Lam

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

Capture-the-Flag (CTF) competitions serve as gateways into offensive cybersecurity, yet they often present steep barriers for novices due to complex toolchains and opaque workflows. Recently, agentic AI frameworks for cybersecurity promise…

密码学与安全 · 计算机科学 2026-02-23 Cathrin Schachner , Jasmin Wachter
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