OpenURMA provides the first open, clean-room implementation of Huawei's Unified Bus (UB) protocol, demonstrating a significant reduction in latency and increase in throughput for remote memory access…

The paper introduces an AI red teaming agent that drastically reduces the time and effort required for security testing by allowing operators to define complex attack goals using natural language, com…

The paper introduces KernelScript, a DSL for eBPF that types maps, program handles, and execution domains to unify cross-boundary relationships, prevent bugs at compile time, and reduce diff size.

The paper introduces Heimdall, an automated pipeline that uses LLMs and formal verification to safely and automatically migrate legacy, potentially buggy eBPF programs written in C to memory-safe Rust…

This paper describes the use of a trie data structure to enhance experiment efficiency in comparative pipeline experiments for cascading retrieval pipelines using PyTerrier, observing a 26% reduction…

This paper presents CoEvoP&R, a framework that uses a large language model to automatically evolve analytical placement objectives, reducing post-route routed wirelength, congestion, and improving tim…

Code2LoRA introduces a hypernetwork framework to efficiently inject repository-specific knowledge into code language models using LoRA adapters, supporting both static and evolving codebases.

The paper introduces AxDafny, a verifier-guided repair framework that improves verification success in Dafny by generating implementations, invariants, assertions, and termination arguments.

The paper introduces R$^2$A, an adversarial attack that uses suffix optimization to mislead black-box LLM routers into consistently selecting expensive, high-capability models.

The paper introduces a novel pipeline integrating formal verification and process mining to systematically identify and analyze root causes of security property invalidations in complex automotive net…

FixV2W introduces a knowledge graph embedding approach to significantly improve the accuracy of inconsistent CVE-CWE mappings in public vulnerability databases, achieving high prediction rates for exp…

MeshGuard is a framework that extends MUD-based network access control to complex, large-scale Thread IoT networks by adapting the MLE protocol and using SDN for scalable policy enforcement.

The paper proposes SubFit, a novel compression technique that achieves superior LLM compression by replacing non-contiguous, submodule-level components (Attention and FeedForward) with lightweight res…

The paper addresses the challenge of routing across rapidly expanding model hubs by proposing CARvE, a contrastive embedding approach that significantly improves continual model selection accuracy.

The paper presents an end-to-end system that translates high-level operator intents into low-level, safe routing constraints for LEO mega-constellations, achieving high accuracy and safety guarantees.

Aquifer is the first system to serve MicroVM snapshots from a hierarchical CXL+RDMA memory pool, achieving 2.2x geometric-mean speedup in end-to-end invocation time over Firecracker.

The paper introduces Atomic Decomposition and Recombination (ADR), a novel framework that generates genuinely novel and challenging verifiable code tasks, significantly improving the scalability of Re…