
Learn to protect your data science projects from vulnerabilities through exploration, preparation, algorithm application, and effective communication of insights and risks.

Explore strategies for navigating the rapidly evolving technological landscape and leveraging its potential to enhance business and personal life in the Fourth Industrial Revolution.

Explore BlockFlex, a learning-based framework for efficient storage harvesting in cloud platforms, enabling fine-grained resource utilization while ensuring performance and security isolation.

Explore zIO, a transparent zero-copy IO mechanism that enhances performance of IO-intensive applications by eliminating unnecessary data copies and optimizing data consistency management.

Explore privacy/utility trade-offs in differential privacy through a real IRS-DOE case study, examining challenges faced by data custodians when establishing data release standards.

Explore Bluebird, Azure's high-performance network virtualization system for bare-metal cloud services, offering insights into its design, implementation, and real-world performance.

Explore data-parallel actors, a programming model for building scalable query serving systems, offering simplified development and enhanced functionality for distributed data processing.

Explores a novel framework for detecting host OS kernel versions from within guest operating systems, leveraging hypervisor features and bugs to enable virtual machine extrospection.

Explores calc-regular languages as an extension of regular languages to handle length fields in binary data serialization, improving security and parsing efficiency for length-prefix formats.

Explores vulnerabilities in AMD's Secure Encrypted Virtualization, demonstrating attacks on I/O operations and constructing primitives to breach VM memory encryption, highlighting security risks in emerging technology.

Innovative cloud tier for Data Domain appliances, enabling cost-effective deduplication in the cloud. Focuses on space estimation, efficient data transfer, and file management between on-premises and cloud storage.

Explore an empirically-driven approach to systems research, focusing on analyzing existing systems before designing new solutions. Learn from two decades of research examples at UW-Madison.

Comprehensive overview of Linux network interfaces, from traditional to modern cloud-native types. Explores VMs, containers, and service meshes, aiding in debugging cloud platforms.

Discover Netflix's approach to handling incidents at high velocity, focusing on preparation, expertise, and continuous learning to ensure quick recovery and unique outage scenarios.

Explores the evolution of Site Reliability Engineering practices, offering insights into various stages of implementation across key areas like incident response, postmortems, and monitoring to help teams assess and advance their SRE journey.

Explores security vulnerabilities in popular web-based single sign-on systems, uncovering critical flaws that allow unauthorized access to user accounts on major platforms.

Explores virtualizing consensus in replicated systems, enabling dynamic protocol changes without downtime. Introduces VirtualLog and Loglets for simplified, diverse, and composable consensus implementations, showcasing benefits in the Delos database.

Explore ciphertext side channels in AMD SEV-SNP, examining vulnerabilities and potential security risks in confidential computing environments.

Unified security framework for Linux kernel to protect against malicious peripherals, leveraging eBPF for efficient packet filtering across USB, Bluetooth, and NFC protocols.

Explore probabilistic analysis techniques for recovering variables and data structures from stripped binaries, enhancing reverse engineering capabilities.

Longitudinal analysis exploring Android OEM compliance and customization practices, examining the balance between manufacturer modifications and adherence to platform standards.