Summary of Queries, Representation & Detection: the Next 100 Model Fingerprinting Schemes, by Augustin Godinot et al.
Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes
by Augustin Godinot, Erwan Le Merrer, Camilla Penzo, François Taïani, Gilles Trédan
First submitted to arxiv on: 17 Dec 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Cryptography and Security (cs.CR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed method detects instances of model stealing by introducing a systematic approach to creating model fingerprinting schemes and evaluating their performance. The authors introduce a simple baseline that performs on par with existing state-of-the-art fingerprints, which are more complex. They identify 100 previously unexplored combinations of QuRD (Query, Representation, Detection) components and gain insights into their performance. To compare and guide the creation of more representative model stealing detection benchmarks, they introduce a set of metrics. The authors’ approach reveals the need for more challenging benchmarks and a sound comparison with baselines. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary The paper introduces a new way to detect when someone is copying or stealing machine learning models. This is important because companies invest a lot in these models, and they don’t want others to use them without permission. The authors tested different ways of detecting model theft and found that a simple method works just as well as more complex methods. They also identified many new combinations of techniques that could be used to detect model theft. To help create better tests for detecting model theft, the authors introduced some new metrics. This research is important because it helps companies protect their investments in machine learning models. |
Keywords
» Artificial intelligence » Machine learning
