Privacy-Preserving Machine Learning Workshop 2023 - Contributed Talks Session II
Explore cutting-edge research in privacy-preserving machine learning through expert presentations at the PPML 2023 workshop, covering innovative techniques and applications in the field.
Privacy-Preserving Machine Learning - Invited and Contributed Talks
Explore privacy-preserving machine learning with expert Mariana Raykova and contributed talks from PPML 2023, covering cutting-edge research and advancements in secure AI and data protection.
Supporting Live Migration of Confidential VMs in KVM
Explores design details of SEV-SNP live migration for confidential VMs in KVM, discussing potential common API across vendors for secure VM migration between hosts.
Attestation and Confidential Dump for IBM Secure Execution on Linux
Explore new features for IBM Secure Execution on Linux: attestation for third-party verification and encrypted external VM dumping, enhancing trust and usability in confidential computing on IBM Z.
Protected KVM on Arm64: A Technical Deep Dive
Explore pKVM, an extension of KVM/arm64 for Confidential Computing on Arm v8.0+ CPUs. Learn its architecture, implementation, and potential for shared infrastructure with other solutions.
Kata Containers - Security and Containers Without Compromise
Explore Kata Containers: an open-source runtime offering enhanced security through virtualization while maintaining container-like performance. Learn about its integration with Confidential Containers and real-world applications.
Hardware in Space - The Kernel at the Edge of the Universe
Explore the evolution of space-bound hardware, from core memory to ARM SoCs and real-time Linux. Learn about commodity hardware in space exploration and confidential computing's role in securing data beyond Earth.
Enabling New Security Frontiers - Deep-Dive Into Implementing Confidential Computing on RISC-V
Explore RISC-V Confidential Computing implementation, covering ISA extensions, SoC requirements, and open-source activities. Gain insights into cross-architectural aspects and future roadmap.
The Open Enclave SDK - Confidential Computing with Trusted Apps
Explore Confidential Computing and Trusted Execution Environments with Open Enclave SDK, focusing on securing data in use and developing trusted applications across different TEEs.
Ask the Expert Session - Enterprise Workloads on AMD Based VMs in Azure
Explore Azure VMs powered by AMD EPYC CPUs for enterprise workloads, including general purpose and confidential computing. Learn about use cases and resources to set up your environment.
Securing Linux VM Boot with AMD SEV Measurement
Explore AMD SEV measurement for securing Linux VM boot, covering vulnerabilities, solutions, and future plans in confidential computing environments.
Confidential Computing in Cloud and Edge
Explore Confidential Computing in cloud and edge environments, focusing on Trusted Execution Environments, data protection, and scalable implementation solutions for enhanced security.
The Rise of Confidential Computing
Explore Trusted Execution Environments for secure data processing in public clouds, including architectures, runtimes, and tools for creating confidential computing services.
Trust No One - Bringing Confidential Computing to Containers
Explore confidential computing for containers, leveraging hardware-based Trusted Execution Environments to protect cloud data and code without relying on third-party trust.
Architectural Extensions for Hardware Virtual Machine Isolation to Advance Confidential Computing in Public Clouds
Explore hardware-based cloud workload isolation with Intel TDX, covering security goals, threat models, and software implications for confidential computing in public clouds.
Design and Verification of the Arm Confidential Compute Architecture
Explores Realms, a new confidential computing abstraction protecting data privacy in virtual machines. Introduces novel verification techniques for secure firmware in complex, concurrent systems.
An Extensible Orchestration and Protection Framework for Confidential Cloud Computing
Extensible framework for confidential cloud computing, addressing privacy concerns through hypervisor-level instrumentation, enabling monitoring of enclave-OS interactions and implementation of protected services.
Confidential Computing within an AI Accelerator
Explore IPU Trusted Extensions for secure AI workloads, offering confidentiality and integrity with low overhead. Learn about hardware isolation, encryption, and multi-party training capabilities in Graphcore's AI accelerators.
The ChatGPT Privacy Tango - Dancing with Data Security and Large Language Models
Explore balancing privacy and utility in AI language models, focusing on protecting sensitive data while maximizing ChatGPT's benefits. Learn about PII removal, secure enclaves, and privacy-aware LLM applications.
Confidential Computing
Explore cutting-edge developments in confidential computing at the Linux Plumbers Conference, focusing on secure data processing and privacy-enhancing technologies.
Confidential Computing MC
Explore confidential computing concepts, technologies, and applications in this comprehensive session from Linux experts.