Cross-Dataset Time Series Anomaly Detection for Cloud Systems
Innovative approach combining transfer and active learning for detecting anomalies in cloud systems using limited labeled data, improving efficiency in maintaining service availability.
A Dashboard Is Worth a Thousand Words - Better Monitoring for Better Ops
Explore how CERN's new monitoring system improved service operations and fostered SRE practices, discussing design decisions, operational challenges, and the benefits of implementing SLIs/SLOs.
Apache Kafka and KSQL in Action - Let's Build a Streaming Data Pipeline
Build real-time streaming data pipelines using Apache Kafka and KSQL. Learn architectural benefits, data integration, filtering, enrichment, and anomaly detection through practical demonstrations.
ObliVM - A Programming Framework for Secure Computation
Explore ObliVM, a framework for secure computation offering a domain-specific language, user-friendly abstractions, and efficient oblivious representations for various applications like data mining and genomic analysis.
Dark Matter - Driven By Data
Explore data-driven cybersecurity challenges and solutions with expert Dan Geer in this IEEE symposium keynote, addressing the complexities of modern digital threats and defenses.
Property Inference from Poisoning
Explore techniques for inferring properties from poisoned data, examining implications for privacy and security in machine learning systems.
Desperate Times Call for Desperate Measures - User Concerns with Mobile Loan Apps in Kenya
Explore user concerns and challenges with mobile loan apps in Kenya, examining their impact on financial practices and potential risks for vulnerable populations.
How Does Usable Security Not End Up in Software Products - Results From a Qualitative Interview Study
Explore findings from qualitative interviews on the challenges of implementing usable security in software products, revealing insights for developers and security professionals.
Investigating Influencer VPN Ads on YouTube
Explore the impact and strategies of influencer-driven VPN advertising on YouTube, examining its effectiveness and potential implications for user privacy and security.
If HTTPS Were Secure I Wouldn't Need 2FA - End User and Administrator Mental Models of HTTPS
Explores misconceptions about HTTPS security among end users and administrators, revealing gaps in understanding and providing recommendations for improved protocol design and user interfaces.
Manipulation Attacks in Local Differential Privacy
Explore manipulation attacks in local differential privacy, examining vulnerabilities and potential countermeasures in privacy-preserving data collection systems.
DEPCOMM - Graph Summarization on System Audit Logs for Attack Investigation
Explore graph summarization techniques for system audit logs to enhance attack investigation efficiency and effectiveness in cybersecurity.
Transcending TRANSCEND - Revisiting Malware Classification in the Presence of Concept Drift
Explore innovative approaches to malware classification, addressing concept drift challenges and advancing beyond traditional methods for improved cybersecurity defenses.
Differentially Private Histograms in the Shuffle Model from Fake Users
Explore innovative techniques for creating privacy-preserving histograms using fake users in the shuffle model, enhancing data protection and analysis capabilities.
The Card10 Badge - Two Years of Evolution
Explore the evolution of the card10 badge, a wearable bio-sensor device, with new firmware features, improved Bluetooth connectivity, and expanded applications like indoor climate sensing and ECG monitoring.
YOUR DATA MIRROR - Wie die Macht der Daten die Demokratie untergräbt
Aufdeckung der Gefahren von politischem Microtargeting in sozialen Medien und dessen Auswirkungen auf persönliche Entscheidungen und demokratische Prozesse.
Do-It-Yourself Heizenergie-Optimierung mit einem Neuronalen Netzwerk
Analyse des Stromverbrauchs für Heizung und Warmwasser mittels neuronaler Netzwerke. Optimierung durch Auswertung von SmartMeter-Daten und Heizungsstatus über 2,5 Jahre.
The Wonderful and Terrifying Implications of Computers That Can Learn
Explore the revolutionary impact of machine learning on various fields, including medical diagnostics, and its potential to reshape our future in both exciting and concerning ways.
Analyzing and Modeling Complex and Big Data
Explore the challenges and opportunities of managing rapidly increasing information, with insights on analyzing and modeling complex big data from Professor Maria Fasli's expertise in intelligent agents and data mining.
Who Controls the World
Exploring complex systems and global economic networks to uncover interconnections and power structures in our society, challenging traditional reductionist approaches to problem-solving.
Fast Data Architectures for Streaming Applications
Explore streaming data architectures, tools, and techniques for real-time processing and analytics. Learn about trade-offs, challenges, and integration strategies for modern big data systems.