Early Post-Secondary Student Performance of Adversarial Thinking

Krishnamurthi, Shriram

doi:10.1145/3446871.3469743

Cited by 7 publications

(4 citation statements)

References 11 publications

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“…Adversarial thinking is a useful skill in computing, including in cybersecurity and AI/ML (Young and Krishnamurthi 2021). Thinking about how models can be fooled through adversarial examples is one rich application of this skill which challenges the students to critically examine the ML model for vulnerabilities.…”

Section: Twitter Bot Classification and Decision Tree Buildingmentioning

confidence: 99%

Beyond Black-Boxes: Teaching Complex Machine Learning Ideas through Scaffolded Interactive Activities

Broll

Grover

2023

AAAI

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Existing approaches to teaching artificial intelligence and machine learning (ML) often focus on the use of pre-trained models or fine-tuning an existing black-box architecture. We believe ML techniques and core ML topics, such as optimization and adversarial examples, can be designed for high school age students given appropriate support. Our curricular approach focuses on teaching ML ideas by enabling students to develop deep intuition about these complex concepts by first making them accessible to novices through interactive tools, pre-programmed games, and carefully designed programming activities. Then, students are able to engage with the concepts via meaningful, hands-on experiences that span the entire ML process from data collection to model optimization and inspection. This paper describes our 'AI & Cybersecurity for Teens' suite of curricular activities aimed at high school students and teachers.

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Section: Twitter Bot Classification and Decision Tree Buildingmentioning

confidence: 99%

Beyond Black-Boxes: Teaching Complex Machine Learning Ideas through Scaffolded Interactive Activities

Broll

Grover

2023

AAAI

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“…In addition, [7. p. 10] observed that "although today's cybercrime is worlds apart from the hacking of the 1980's…the fundamental techniques…have not changed." A push to focus on enduring security principles has therefore been gaining traction among cybersecurity thinkers (e.g., [3], [9], [13], [14]) and [3, p. 2] asserted that "teaching the 'security mindset' might be one of the most important aspects" of cybersecurity education today.…”

Section: B Present Calls For Changementioning

confidence: 99%

“…What constitutes a security mindset 1 and the terminology referring to it has been somewhat fluid [13], [15]. Security mindset concepts have surfaced under the guise of cybersecurity critical thinking [16], cybersecurity situational awareness [17], and adversarial thinking [7], [18].…”

Section: A In Search Of a Definitionmentioning

confidence: 99%

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Security Mindset Fundamentals and Second Language Learning

Kuiken¹

2023

CISSE

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Security mindsets can be said to engage elements of situational awareness and analytical, creative, and practical elements of adversarial thinking. Scholars have debated whether this is taught or fostered, but they have acknowledged that security mindsets are critical. Here, the argument is made that implicit features of language itself can be drawn on in everyday K12+ second language (L2) learning settings to introduce members of the general populace and, among them, potential future members of the cybersecurity workforce, to security thinking. Beyond the features of language itself, L2 lessons can also be adapted to familiarize students with explicit security-related topics and scenarios. By exploiting these novel connections between language learning and security thinking, L2 learning contexts can become a security mindset training ground for millions of U.S. students.

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