T Pasquier

Latest

• Accelerating the Configuration Tuning of Big Data Analytics with Similarity-aware Multitask Bayesian Optimization
• SIGL: Securing Software Installations Through Deep Graph Learning
• To Tune or Not to Tune? In Search of Optimal Configurations for Data Analytics
• Xanthus: Push-button Orchestration of Host Provenance Data Collection
• UNICORN: Runtime Provenance-Based Detector for Advanced Persistent Threats
• Rclean: A Tool for Writing Cleaner, More Transparent Code
• Facilitating plausible deniability for cloud providers regarding tenants' activities using trusted execution
• ProvMark: A Provenance Expressiveness Benchmarking System
• From Here to Provtopia
• Towards Seamless Configuration Tuning of Big Data Analytics
• Viewpoint | Personal Data and the Internet of Things: It is time to care about digital provenance
• Runtime Analysis of Whole-System Provenance
• Provenance-based Intrusion Detection: Opportunities and Challenges
• Sharing and Preserving Computational Analyses for Posterity with encapsulator
• Data provenance to audit compliance with privacy policy in the Internet of Things
• Practical Whole-System Provenance Capture
• If these data could talk
• FRAPpuccino: Fault-detection through Runtime Analysis of Provenance
• PHP2Uni: Building Unikernels using Scripting Language Transpilation
• Big Ideas paper: Policy-driven middleware for a legally-compliant Internet of Things
• Data-Centric Access Control for Cloud Computing
• Twenty security considerations for cloud-supported Internet of Things
• Information Flow Audit for Transparency and Compliance in the Handling of Personal Data
• Information Flow Audit for PaaS clouds
• Clouds of Things Need Information Flow Control with Hardware Roots of Trust
• CamFlow: Managed Data-Sharing for Cloud Services
• Data Flow Management and Compliance in Cloud Computing
• Managing Big Data with Information Flow Control
• Securing Tags to Control Information Flows within the Internet of Things
• Integrating Middleware with Information Flow Control
• Expressing and Enforcing Location Requirements in the Cloud using Information Flow Control
• Information Flow Control for Strong Protection with Flexible Sharing in PaaS
• FlowK: Information Flow Control for the Cloud
• Regional clouds: technical considerations
• FlowR: Aspect Oriented Programming for Information Flow Control in Ruby
• Information Flow Control for Secure Cloud Computing