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Containerizing BIDSme : A Reproducible Tool for BIDS Conversion
Announce Type: new Abstract: The "Brain Imaging Data Structure" (BIDS) has become a widely adopted standard for organizing and sharing neuroimaging datasets of various modalities. However, converting raw brain imaging data into BIDS framework remains a complex and time-consuming task. BIDSme is a semi-automated tool developed to streamline this conversion process, but until recently, it lacked the portability and accessibility needed for widespread adoption.
Securing the Sandbox: A Rootless Containerized Framework for Process-Oriented Monitoring in Computer Graphics Education
arXiv:2606.05929v1 Announce Type: new Abstract: Computer Science education fundamentally depends on intensive laboratory hours to foster true programming mastery and logical reasoning. However, the widespread adoption of Generative Artificial Intelligence (AI) has made it virtually impossible to distinguish authentic student effort from instant AI code synthesis by evaluating final submissions alone. To preserve pedagogical integrity, educators must enforce authentic coding discipline,...
TinyContainer: Container Runtime Middleware Enabling Multi-tenant Microcontrollers with Built-in Security
Announce Type: new Abstract: Software containerization technologies for resource-limited devices enable multi-tenant microcontrollers, which allow running multiple applications with different permission levels. However, current solutions lack run time configuration over various settings on container scheduling and container permissions to host resources. This limits the applicability of constrained containerization in dynamic and heterogeneous environments.
Toward a Generalized Defense Across Sparse, Continuous, and Structured Parameter Attacks
Announce Type: new Abstract: Deep neural networks are increasingly deployed across heterogeneous and partially untrusted environments, where models are distributed through cloud storage, CI/CD pipelines, containerized services, and edge execution platforms. This broad deployment landscape exposes model parameters to various integrity risks.
GPU Acceleration of Learning With Errors KEMs Using OpenACC for Post-Quantum Cryptography
arXiv:2606.01211v1 Announce Type: new Abstract: Shor's algorithm proved that asymmetric cryptographic protocols based on the integer factorization and discrete logarithm problems are no longer safe in a world with large-scale quantum computers. As a result, Post-Quantum Cryptography (PQC) has been developed over the last few years, seeking cryptographic primitives resistant to quantum attacks. One of the main hard problems underlying PQC schemes is the Learning with Errors (LWE) problem,...
Landseer: Exploring the Machine Learning Defense Landscape
arXiv:2605.27148v2 Announce Type: replace Abstract: Machine learning systems face diverse threats that undermine robustness, privacy, and fairness. Although many defenses have been proposed, each typically addresses a single risk in isolation. Real-world deployments, however, require these defenses to be composed to meet multiple guarantees simultaneously.
Can You Stop a Hypersonic Missile?
Can You Stop a Hypersonic Missile? The headlines say yes. Patriot crews shot down a Kinzhal over Kyiv on the night of May 4, 2023.
The American Missile Crisis
Recent global conflicts, from Russia and Ukraine to Iran and Israel, have seen a resurgent awareness of the frailty of US munitions stock, which has been drawn down by both direct and indirect involvement in these events. While exact stockpile volumes are not disclosed, it is estimated that supplies of US warheads and the missiles that carry them have declined by nearly an order of magnitude since their peak during the Cuban Missile Crisis. Analysts have estimated that in the event of a...
Show HN: Nucleus – A security-hardened, Nix-native container runtime
Extremely lightweight, security-hardened, declarative container runtime for agents and production services Nucleus is a minimalist container runtime for Linux. It provides isolated execution environments using Linux kernel primitives without the overhead of traditional container runtimes. For production services, it is designed around a fully declarative model: Nix builds the root filesystem, the NixOS module declares the service, and Nucleus mounts a pinned, reproducible closure at runtime.
Enhanced performance for server consolidation with Intel Xeon 6+
AI workloads are eating into datacenter capacity faster than most operators can add to it, and once the power budget is spent and the racks are full, the wall is a physical one. Server consolidation, once treated as a long-term efficiency project, has become an immediate operational priority. In our latest Hot Seat, Tim Phillips talks to Kira Boyko, product manager at Intel, about how the Intel Xeon 6+ processor with 288 efficient cores has been engineered with core density in mind to...