
Learn to create valuable wordlists from GitHub repositories using Gitdigger. Explore techniques for data extraction, processing, and generating outputs for various security applications.

Explore machine learning techniques for extracting actionable intelligence from complex data, focusing on practical applications and real-world insights in cybersecurity and data analysis.

Explore industrial process data analysis, machine learning techniques, and behavior-based event detection systems for improved facility monitoring and state-of-health assessment.

Explore data science fundamentals for cybersecurity, covering key concepts, tools, and techniques to enhance threat detection and analysis skills in this comprehensive introduction.

Explore Android lock pattern vulnerabilities, user behavior, and security implications through data analysis and visual complexity assessment.

Explore machine learning anomaly detectors in cybersecurity, their creation, implementation, and potential vulnerabilities. Gain insights into real-world applications and challenges in this cutting-edge field.

Learn techniques for live digital forensics, including memory acquisition, disk analysis, and artifact collection. Explore free tools and best practices for gathering crucial system information.

Explore blockchain technology, Bitcoin mechanics, and data analysis techniques to uncover insights from cryptocurrency transactions and wallets.

Explore vulnerability disclosure debates, survey insights, and strategies for improving cybersecurity practices. Learn about coordinated disclosure, multiparty challenges, and driving broader adoption of best practices.

Explore insights and challenges in labeling large-scale malware datasets, drawing from experiences with the VirusShare Corpus. Gain valuable lessons for improving malware classification and analysis.

Explore the pitfalls of excessive data tracking in daily life and learn why relying on gut feeling can sometimes lead to better performance and experiences.

Explore the People Analytics Revolution: how AI and machine learning are transforming hiring and workforce management, balancing data with human intuition for better decision-making in talent acquisition and retention.

Exploring statistical ecology's role in conservation, from data collection to policy impact. Discover how mathematical insights guide environmental efforts and shape our understanding of ecosystems.

Explore the journey of building a low-latency, scalable analytics database, focusing on design decisions and tradeoffs that led to Apache Pinot's development for ultra-fast, user-facing analytics at scale.

Explore cutting-edge research in recommendation systems, covering algorithms, personalization techniques, and user behavior analysis for improved content suggestions.

Explore participatory AI methods for analyzing police data, empowering communities to build models and gain insights into law enforcement practices.

Explore the NIST AI Risk Management Framework to identify, assess, and mitigate potential risks associated with artificial intelligence systems in various applications.

Explore cutting-edge research on fairness and diversity in computing, examining innovative approaches to promote inclusivity and ethical considerations in technology development.

Explore cutting-edge research on software metrics in this ACM paper session, featuring presentations on innovative measurement techniques and their applications in software engineering.

Explore cutting-edge research on targeted advertising strategies, techniques, and implications in this ACM paper session.

Explore the intersection of sociology and machine learning in this thought-provoking session, examining how AI impacts social structures and human behavior.