DualGuard: Comprehensive and Efficient Memory Safety across Sequential and Speculative Execution

Although decades of research have yielded sophisticated mechanisms for enforcing memory safety, speculative execution can subvert these protections through transient memory operations. Conversely, defenses designed specifically for speculative safety, such as Speculative Load Hardening (SLH), cannot enforce memory safety during non-speculative execution. A naive combination of defenses from both domains raises two fundamental challenges: (1) which combination of otherwise fragmented defenses can ensure dual memory safety under speculative and non-speculative executions? (2) whether such combinations introduce redundant protections that incur unnecessary performance overhead? We present DualGuard, a unified framework for dual memory protection under non-speculative and speculative executions. DualGuard systematically analyzes memory behaviors, classifying them into four categories, and further identifies the minimal composition requirements for dual memory safety, which allow us to strategically combine existing mitigations and design new ones to avoid redundant or excessive protections. We implement DualGuard through a combination of static analysis and runtime enforcement within the LLVM infrastructure. Our evaluation demonstrates that DualGuard reduces overhead by 3%-72% compared to naive compositions of fragmented defenses. In some cases, it even incurs lower overhead than approaches that guarantee memory safety solely under either non-speculative or speculative execution.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-29
DOI
https://doi.org/10.48550/arxiv.2610.39374
Primary Topic
Security and Verification in Computing
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

DualGuard: Comprehensive and Efficient Memory Safety across Sequential and Speculative Execution

Anitha Gollamudi, Trent Jaeger, Jianan Zhu, Sixuan Dang et al.
arXiv (Cornell University)
Security and Verification in Computing
preprint

DualGuard: Comprehensive and Efficient Memory Safety across Sequential and Speculative Execution

Anitha Gollamudi, Trent Jaeger, Jianan Zhu, Sixuan Dang, Danfeng Zhang, Kaiming Huang, Quan Zhou
preprint en

Abstract

Although decades of research have yielded sophisticated mechanisms for enforcing memory safety, speculative execution can subvert these protections through transient memory operations. Conversely, defenses designed specifically for speculative safety, such as Speculative Load Hardening (SLH), cannot enforce memory safety during non-speculative execution. A naive combination of defenses from both domains raises two fundamental challenges: (1) which combination of otherwise fragmented defenses can ensure dual memory safety under speculative and non-speculative executions? (2) whether such combinations introduce redundant protections that incur unnecessary performance overhead? We present DualGuard, a unified framework for dual memory protection under non-speculative and speculative executions. DualGuard systematically analyzes memory behaviors, classifying them into four categories, and further identifies the minimal composition requirements for dual memory safety, which allow us to strategically combine existing mitigations and design new ones to avoid redundant or excessive protections. We implement DualGuard through a combination of static analysis and runtime enforcement within the LLVM infrastructure. Our evaluation demonstrates that DualGuard reduces overhead by 3%-72% compared to naive compositions of fragmented defenses. In some cases, it even incurs lower overhead than approaches that guarantee memory safety solely under either non-speculative or speculative execution.

arXiv (Cornell University)
Security and Verification in Computing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon
DualGuard: Comprehensive and Efficient Memory Safety across Sequential and Speculative Execution — Anitha Gollamudi, Trent Jaeger, et al. · arXiv (Cornell University) (2026) | TGRS Research Map | TGRS