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Explore automatic discovery and analysis of open-source cyber threat intelligence, focusing on IOC generation, correlation analysis, and impact on security.
Explore automated workflow-based exploit generation for web applications using Chainsaw, a novel approach to identify and exploit vulnerabilities through informed traversal and workflow inference.
Learn statistical test generation techniques for detecting hardware Trojans through side-channel analysis, focusing on rare nodes and security metrics in combinational circuits.
Explore practical security vulnerabilities in 64-bit block ciphers, focusing on collision attacks in HTTP over TLS and OpenVPN. Learn about countermeasures and implications for network security.
Explores cultural representation in emojis, examining global perceptions and proposing inclusive designs. Combines surveys, interviews, and participatory design to address cultural gaps in emoji standards.
Explores a tiered privacy model for shared mobile devices in Bangladesh, addressing digital privacy challenges through separate 'shared' and 'secret' accounts. Findings reveal benefits and remaining hurdles in protecting personal data.
Exploring robust technological alternatives to traditional corporate structures, focusing on new organizational forms, employee empowerment, and the impact of digital platforms on labor and business models.
Experts discuss wicked problems and collective intelligence, exploring innovative approaches to global challenges through conservation, ant behavior, organizational design, and supply chain management.
Exploring the intersection of human crowds and AI, featuring insights on social technology, interactive intelligent systems, and collaborative platforms from industry leaders and researchers.
Automatic approach to transfer user content into example banners, using semantic segmentation and energy-based optimization for optimal layout design.
Explores user interface design for Interactive Machine Learning, discussing challenges, solutions, and principles for effective non-expert applications in data-driven pattern recognition and development.
Explores metrics beyond accuracy for modeling expert sketching ability, discussing features that differentiate expert and novice sketches to improve intelligent tutoring systems for design sketching.
Innovative approach to predict music preferences using facial expressions, outperforming traditional methods. Explores personality influences and adapts models accordingly, balancing accuracy with privacy considerations.
Evaluating machine learning interpretations in cooperative play, focusing on improving human performance through AI assistance in a question-answering task. Explores different interpretation methods and their impact.
Exploring on-world computing: bridging digital and physical realms through innovative interfaces, projected touchscreens, and augmented reality for seamless interaction with digital content in everyday environments.
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