# Image Classification on CIFAR-100 (IID) (Poisoning Robustness)

Source: [Image Classification on CIFAR-100 (IID) (Poisoning Robustness)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-02-26T05:39:17.485Z

Evaluation of Image Classification performance on the IID split of the CIFAR-100 dataset, specifically measuring robustness against various types of poisoning attacks (Badnet, DBA, Neurotoxin) and clean accuracy.

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 | Image Classification |
| Dataset (including any stated split) | CIFAR-100 (IID) |
| Metric | Clean Accuracy |
| Unit | PERCENT |
| Direction | Higher is better |
| Results loaded | 9 of 9 |
| 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

- [Clean Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Clean%20Accuracy>): Higher is better; unit: PERCENT.

- [Badnet Backdoor Accuracy (r=0.3)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Badnet%20Backdoor%20Accuracy%20(r%3D0.3)>): Higher is better; unit: PERCENT.

- [Badnet Backdoor Accuracy (r=0.5)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Badnet%20Backdoor%20Accuracy%20(r%3D0.5)>): Higher is better; unit: PERCENT.

- [Badnet Error Rate (r=0.3)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Badnet%20Error%20Rate%20(r%3D0.3)>): Lower is better; unit: PERCENT.

- [Badnet Error Rate (r=0.5)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Badnet%20Error%20Rate%20(r%3D0.5)>): Lower is better; unit: PERCENT.

- [DBA Backdoor Accuracy (r=0.3)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=DBA%20Backdoor%20Accuracy%20(r%3D0.3)>): Higher is better; unit: PERCENT.

- [DBA Backdoor Accuracy (r=0.5)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=DBA%20Backdoor%20Accuracy%20(r%3D0.5)>): Higher is better; unit: PERCENT.

- [DBA Error Rate (r=0.3)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=DBA%20Error%20Rate%20(r%3D0.3)>): Lower is better; unit: PERCENT.

- [DBA Error Rate (r=0.5)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=DBA%20Error%20Rate%20(r%3D0.5)>): Lower is better; unit: PERCENT.

- [Neurotoxin Backdoor Accuracy (r=0.3)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Neurotoxin%20Backdoor%20Accuracy%20(r%3D0.3)>): Higher is better; unit: PERCENT.

- [Neurotoxin Backdoor Accuracy (r=0.5)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Neurotoxin%20Backdoor%20Accuracy%20(r%3D0.5)>): Higher is better; unit: PERCENT.

- [Neurotoxin Error Rate (r=0.3)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Neurotoxin%20Error%20Rate%20(r%3D0.3)>): Lower is better; unit: PERCENT.

- [Neurotoxin Error Rate (r=0.5)](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Neurotoxin%20Error%20Rate%20(r%3D0.5)>): Lower is better; unit: PERCENT.

- [Average Backdoor Accuracy](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Average%20Backdoor%20Accuracy>): Higher is better; unit: PERCENT.

- [Average Error Rate](<https://www.sota2.com/research/sota/image-classification-on-cifar-100-iid-poisoning-robustness.md?metric=Average%20Error%20Rate>): Lower is better; unit: PERCENT.

## Recorded results

| Method | Clean Accuracy | Result date | Report paper |
| --- | --- | --- | --- |
| FedAvg | 64.29 | Not recorded | 68fa77831e209131cea73bd9 |
| FedAvg\* | 64.29 | Not recorded | 68fa77831e209131cea73bd9 |
| Foolsgold | 64.13 | Not recorded | 68fa77831e209131cea73bd9 |
| AlignIns | 63.45 | Not recorded | 68fa77831e209131cea73bd9 |
| MM | 63.26 | Not recorded | 68fa77831e209131cea73bd9 |
| Lockdown | 62.88 | Not recorded | 68fa77831e209131cea73bd9 |
| RFA | 53.92 | Not recorded | 68fa77831e209131cea73bd9 |
| MKrum | 51.28 | Not recorded | 68fa77831e209131cea73bd9 |
| RLR | 44.34 | Not recorded | 68fa77831e209131cea73bd9 |

### FedAvg

Clean Accuracy: 64.29. Result ID: 69952c103badfaffe6124838.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73bd9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6e761e209131cea40072.md>)

Recorded evaluation configuration: {"Model":"VGG9"}. This record does not assert independent reproduction.

### FedAvg\*

Clean Accuracy: 64.29. Result ID: 69952c103badfaffe6124839.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73bd9.md>)

Recorded evaluation configuration: {"Model":"VGG9"}. This record does not assert independent reproduction.

### Foolsgold

Clean Accuracy: 64.13. Result ID: 69952c103badfaffe612483d.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73bd9.md>)

Recorded evaluation configuration: {"Model":"VGG9"}. This record does not assert independent reproduction.

### AlignIns

Clean Accuracy: 63.45. Result ID: 69952c103badfaffe6124840.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73bd9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73bd9.md>)

[Implementation](<https://github.com/JiiahaoXU/AlignIns>)

Recorded evaluation configuration: {"Model":"VGG9"}. This record does not assert independent reproduction.

### MM

Clean Accuracy: 63.26. Result ID: 69952c103badfaffe612483e.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73bd9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa70491e209131cea4a346.md>)

Recorded evaluation configuration: {"Model":"VGG9"}. This record does not assert independent reproduction.

### Lockdown

Clean Accuracy: 62.88. Result ID: 69952c103badfaffe612483f.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73bd9.md>)

Recorded evaluation configuration: {"Model":"VGG9"}. This record does not assert independent reproduction.

### RFA

Clean Accuracy: 53.92. Result ID: 69952c103badfaffe612483b.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73bd9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa703e1e209131cea49e91.md>)

Recorded evaluation configuration: {"Model":"VGG9"}. This record does not assert independent reproduction.

### MKrum

Clean Accuracy: 51.28. Result ID: 69952c103badfaffe612483c.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73bd9.md>)

Recorded evaluation configuration: {"Model":"VGG9"}. This record does not assert independent reproduction.

### RLR

Clean Accuracy: 44.34. Result ID: 69952c103badfaffe612483a.

[Reporting paper](<https://www.sota2.com/research/paper/68fa77831e209131cea73bd9.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a711e209131cea281a1.md>)

Recorded evaluation configuration: {"Model":"VGG9"}. This record does not assert independent reproduction.

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