
Explore cutting-edge cybersecurity research, from USB vulnerabilities to compiler techniques, with insights on emerging trends like citizen developers and domestic violence apps.

Explore the potential of citizen science and its impact on scientific discovery, focusing on the human microbiome and democratizing research.

Comprehensive framework for assessing smartphone security in organizations, covering various attack vectors and providing tools for penetration testing across multiple platforms.

Exploring security vulnerabilities in U.S. political campaigns, offering insights and recommendations to protect democratic processes from cyber threats and data breaches.

Explore global privacy attitudes through data from 90,000+ respondents across 25+ countries. Discover key findings on current and future privacy perceptions, regional variations, and actionable insights for privacy advocates.

Explore web application reverse engineering techniques, from information gathering to active testing, to understand behavior, analyze code, and improve security assessments.

Explore factors influencing secure code development, including developer experience, team dynamics, and work environment. Learn how human and environmental elements impact software security.

Explore how unsupervised pre-training in image representations can lead to human-like biases, examining methods, results, and implications for AI fairness and ethics.

Explore the risks and ethical concerns of large language models, including data management, research implications, and potential mitigation strategies for AI development.

Explores exclusionary practices in AI ethics education, highlighting methodological dogmatism, lack of co-creation, and siloed citations. Proposes ideas for more collaborative and inclusive pedagogical approaches.

Explore robustness disparity in deep learning, its impact on fairness, and potential mitigation strategies for more equitable AI systems.

Explore the impact of differentially private synthetic data on classification fairness, examining its potential for preserving privacy while maintaining data utility in machine learning.

Explore a pilot study on evaluating AI-generated radiology reports through clinical judgments, examining methodologies, results, and implications for healthcare technology.

Explore the impact of bias and variance in standardized tests on affirmative action policies, examining their role in shaping educational opportunities and social equity.

Explore how differential victim crime reporting impacts predictive policing systems, analyzing models, synthetic data, and hotspot prediction to improve fairness in law enforcement.

Exploring the vision for a Virtual Experience Research Accelerator to revolutionize VR research by improving scale, representativeness, and resource sharing among scholars and practitioners.

Explore the future of construction with robotics and automation, focusing on efficiency, safety, and cost reduction. Learn about Dusty Robotics' journey and vision for transforming the industry.

Innovative 3D visualization interface for analyzing group activities from first-person videos, enhancing understanding of spatial relationships and collaborative dynamics in complex workspaces.

Exploring virtual environment transition techniques' impact on presence, body ownership, efficiency, and naturalness in VR, with surprising findings for researchers and game designers.

Explores children's perspectives on parental control apps, revealing concerns about privacy invasion and restrictive features. Suggests design improvements for balancing safety and autonomy in mobile online safety tools.

Explore tensions between lab and field research in HCI, discussing scientific rigor, real-world relevance, and impact. Experts debate diverse research practices to enhance mutual understanding within the CHI community.