CRJan 8, 2018

Benchmarking Crimes: An Emerging Threat in Systems Security

arXiv:1801.02381v130 citations
Originality Synthesis-oriented
AI Analysis

This highlights a critical threat to reproducibility and comparability in systems security research, affecting the entire community by compromising scientific progress, though it is an incremental analysis of existing issues rather than a new solution.

The paper identifies 22 'benchmarking crimes' that undermine systems security evaluations and surveys 50 defense papers from top venues, finding that tier-1 papers commit an average of five such crimes, with only one paper free of them, indicating the problem is widespread and persistent over time.

Properly benchmarking a system is a difficult and intricate task. Unfortunately, even a seemingly innocuous benchmarking mistake can compromise the guarantees provided by a given systems security defense and also put its reproducibility and comparability at risk. This threat is particularly insidious as it is generally not a result of malice and can easily go undetected by both authors and reviewers. Moreover, as modern defenses often trade off security for performance in an attempt to find an ideal design point in the performance-security space, the damage caused by benchmarking mistakes is increasingly worrisome. To analyze the magnitude of the phenomenon, we identify a set of 22 "benchmarking crimes" that threaten the validity of systems security evaluations and perform a survey of 50 defense papers published in top venues. To ensure the validity of our results, we perform the complete survey twice, with two independent readers. We find only a very small number of disagreements between readers, showing that our assessment of benchmarking crimes is highly reproducible. We show that benchmarking crimes are widespread even in papers published at tier-1 venues. We find that tier-1 papers commit an average of five benchmarking crimes and we find only a single paper in our sample that committed no benchmarking crimes. Moreover, we find that the scale of the problem is constant over time, suggesting that the community is not yet addressing it despite the problem being now more relevant than ever. This threatens the scientific process, which relies on reproducibility and comparability to ensure that published research advances the state of the art. We hope to raise awareness of these issues and provide recommendations to improve benchmarking quality and safeguard the scientific process in our community.

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