An Incremental Learner for Language-Based Anomaly Detection in XML
Incremental learning approach for XML anomaly detection, inferring types and datatypes to create extension point-free automaton for improved stream validation and attack prevention.
From Mobile Data to Networks - Exploring Social Mobility Patterns and Applications to Public Health
Explore social mobility patterns using mobile data and their applications to public health with insights from CINVESTAV researcher Maribel Hernández Rosales.
Behavioral Signatures of a Developing Neural Code
Explore neural code development through behavioral signatures, focusing on computational neuroscience insights from Lilach Avitan's research at Hebrew University.
Forecasting Healthy Future
Explore the intersection of global health, technology, and climate change, and learn how collaborative efforts can address health inequalities in our changing world.
Algorithm, Review, Sorting
Explore sorting algorithms through live demos and visualizations, learning analysis techniques and historical context while diving into computer science fundamentals.
A Data-Driven Solution for Preventing Opioid Dependence and Addiction
Innovative data-driven approach to prevent opioid dependence in post-surgery patients, reducing new dependencies to zero in clinical trials. Explores potential for safer pain management.
Digital Marketing Has Made it Easier to Succeed in Business
Discover how digital marketing platforms and strategic advertising can revolutionize business success, from conducting feasibility studies to identifying customer archetypes and driving demand for products or services.
Arya - Arbitrary Graph Pattern Mining with Decomposition-based Sampling
Innovative graph pattern mining system combining decomposition theory and edge sampling for efficient processing of massive graphs, outperforming existing solutions by orders of magnitude.
Data Science or Data Pseudo-Science? - Applying Data Science Concepts to Infosec without a PhD
Explore data science concepts applied to information security, learning practical techniques without advanced degrees. Gain insights into leveraging data for enhanced cybersecurity.
Gitdigger - Creating Useful Wordlists From Public GitHub Repositories
Learn to create valuable wordlists from GitHub repositories using Gitdigger. Explore techniques for data extraction, processing, and generating outputs for various security applications.
ClusterF*ck - Actionable Intelligence from Machine Learning
Explore machine learning techniques for extracting actionable intelligence from complex data, focusing on practical applications and real-world insights in cybersecurity and data analysis.
Intro to Data Science for Security
Explore data science fundamentals for cybersecurity, covering key concepts, tools, and techniques to enhance threat detection and analysis skills in this comprehensive introduction.
Tell Me Who You Are and I Will Tell You Your Lock Pattern
Explore Android lock pattern vulnerabilities, user behavior, and security implications through data analysis and visual complexity assessment.
Making & Breaking Machine Learning Anomaly Detectors in Real Life
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.
Yes, You Too Can Perform Daring Acts of Live Acquisition
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.
Flaying the Blockchain Ledger for Fun, Profit and Hip Hop
Explore blockchain technology, Bitcoin mechanics, and data analysis techniques to uncover insights from cryptocurrency transactions and wallets.
Survey Says - Making Progress in the Vulnerability Disclosure Debate
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.
Labeling the VirusShare Corpus - Lessons Learned
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.
Data Ruins Experience
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.
The Community Built a Model - Using Participatory AI to Analyze Chicago Police Data
Explore participatory AI methods for analyzing police data, empowering communities to build models and gain insights into law enforcement practices.
Metrics
Explore cutting-edge research on software metrics in this ACM paper session, featuring presentations on innovative measurement techniques and their applications in software engineering.