Workshop Overview
The Learning from Authoritative Security Experiment Results (LASER) workshop series focuses on learning from and improving cybersecurity experiment results. The workshop strives to provide a highly interactive, collegial environment for discussing and learning from experimental methodologies, execution, and results. Ultimately, the workshop seeks to foster a dramatic change in the experimental paradigm for cybersecurity research, improving the overall quality and reporting of practiced science.
Each year, the LASER committee chooses a slightly different focus and approach to help the community reach the overall goals of the effort.
This year, the LASER workshop invites participation by authors of accepted NDSS papers to come together to explore and discuss the experimental aspects of their work. Conference papers all too often must focus on research results and contain limited discussion of the experimental aspects of the work. LASER will provide authors the opportunity to lead focused discussion on the experimental approaches and methodologies used to obtain their results.
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Proceedings & Materials
Papers, Slides & Videos
- DrawnApart: A Deep-Learning Enhanced GPU Fingerprinting Technique Slides PDF Abstract & Speakers NDSS Paper
- How is Proto being Probed? The Experimental Aspects behind the Large-scale Measurement of Client-Side Prototype Pollution Vulnerabilities Slides PDF Abstract & Speakers NDSS Paper
- Evaluating Euler: Experimental Results of Network Anomaly Detection Models Slides PDF Abstract & Speakers NDSS Paper
- Building the VPNalyzer System Slides PDF Abstract & Speakers NDSS Paper
- Invited Talk: Reflections on Artifact Evaluation Slides PDF Abstract & Speaker
- Measuring Ambient Cellular Signals in High-mobility Conditions Slides PDF Abstract & Speakers NDSS Paper
- “Mind your own cryptocurrency!” Slides PDF Abstract & Speakers NDSS Paper
- An In-Depth Analysis on Adoption of Attack Mitigations in Embedded Devices Slides PDF Abstract & Speakers NDSS Paper