# Certified Robustness on CIFAR-10 (L1 Certified Accuracy Profile) Source: [Certified Robustness on CIFAR-10 (L1 Certified Accuracy Profile)]() Collection index: [llms.txt]() Data updated: 2026-04-29T07:21:43.975Z Evaluation of certified robustness accuracy on the CIFAR-10 dataset, specifically reporting certified accuracy achieved under L1 norm perturbations across radii ranging from 0.5 to 3.0. A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage. | Scope | Recorded value | | --- | --- | | Task | Certified Robustness | | Dataset (including any stated split) | CIFAR-10 | | Metric | Certified Accuracy (L1, R=0.5) | | Unit | PERCENT | | Direction | Higher is better | | Results loaded | 8 of 8 | | Coverage | All results currently returned for this benchmark | Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol. ## Metrics - [Certified Accuracy (L1, R=0.5)](): Higher is better; unit: PERCENT. - [Certified Accuracy (L1, R=1.0)](): Higher is better; unit: PERCENT. - [Certified Accuracy (L1, R=1.5)](): Higher is better; unit: PERCENT. - [Certified Accuracy (L1, R=2.0)](): Higher is better; unit: PERCENT. - [Certified Accuracy (L1, R=2.5)](): Higher is better; unit: PERCENT. - [Certified Accuracy (L1, R=3.0)](): Higher is better; unit: PERCENT. ## Recorded results | Method | Certified Accuracy (L1, R=0.5) | Result date | Report paper | | --- | --- | --- | --- | | Uniform, LBS | 86.1 | Not recorded | 69f1907655a3c32af89fb9b2 | | Laplace, LBS | 84.3 | Not recorded | 69f1907655a3c32af89fb9b2 | | Uniform (w/), Yang et al. (2020) | 69.8 | Not recorded | 69f1907655a3c32af89fb9b2 | | Laplace (w/), Teng et al. (2020) | 60.4 | Not recorded | 69f1907655a3c32af89fb9b2 | | Laplace (w/), Lecuyer et al. (2019) | 55.7 | Not recorded | 69f1907655a3c32af89fb9b2 | | Laplace (w/o), Teng et al. (2020) | 12.8 | Not recorded | 69f1907655a3c32af89fb9b2 | | Laplace (w/o), Lecuyer et al. (2019) | 10.6 | Not recorded | 69f1907655a3c32af89fb9b2 | | Uniform (w/o), Yang et al. (2020) | 10.2 | Not recorded | 69f1907655a3c32af89fb9b2 | ### Uniform, LBS Certified Accuracy (L1, R=0.5): 86.1. Result ID: 69f1b0d047f34ce924d7bfc8. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise Distribution":"Uniform"}. This record does not assert independent reproduction. ### Laplace, LBS Certified Accuracy (L1, R=0.5): 84.3. Result ID: 69f1b0d047f34ce924d7bfc7. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise Distribution":"Laplace"}. This record does not assert independent reproduction. ### Uniform (w/), Yang et al. (2020) Certified Accuracy (L1, R=0.5): 69.8. Result ID: 69f1b0d047f34ce924d7bfc6. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise Distribution":"Uniform","Noise-Augmented Training":"true"}. This record does not assert independent reproduction. ### Laplace (w/), Teng et al. (2020) Certified Accuracy (L1, R=0.5): 60.4. Result ID: 69f1b0d047f34ce924d7bfc5. [Reporting paper]() Recorded evaluation configuration: {"Noise Distribution":"Laplace","Noise-Augmented Training":"true"}. This record does not assert independent reproduction. ### Laplace (w/), Lecuyer et al. (2019) Certified Accuracy (L1, R=0.5): 55.7. Result ID: 69f1b0d047f34ce924d7bfc4. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise Distribution":"Laplace","Noise-Augmented Training":"true"}. This record does not assert independent reproduction. ### Laplace (w/o), Teng et al. (2020) Certified Accuracy (L1, R=0.5): 12.8. Result ID: 69f1b0d047f34ce924d7bfc2. [Reporting paper]() Recorded evaluation configuration: {"Noise Distribution":"Laplace","Noise-Augmented Training":"false"}. This record does not assert independent reproduction. ### Laplace (w/o), Lecuyer et al. (2019) Certified Accuracy (L1, R=0.5): 10.6. Result ID: 69f1b0d047f34ce924d7bfc1. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise Distribution":"Laplace","Noise-Augmented Training":"false"}. This record does not assert independent reproduction. ### Uniform (w/o), Yang et al. (2020) Certified Accuracy (L1, R=0.5): 10.2. Result ID: 69f1b0d047f34ce924d7bfc3. [Reporting paper]() [Method origin paper]() Recorded evaluation configuration: {"Noise Distribution":"Uniform","Noise-Augmented Training":"false"}. This record does not assert independent reproduction. Page 1 of 1. This is an index page, not the full collection.