Poisoned SLM Ablation Dataset
Fuente:
Zenodo
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| Autore principale: | |
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| Natura: | Recurso digital |
| Lingua: | inglese |
| Pubblicazione: |
Zenodo
2026
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| _version_ | 1866901260823691264 |
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| author | Sharma, Neelkamal |
| author_facet | Sharma, Neelkamal |
| contents | <p>This dataset contains experimental artifacts used for conducting ablation studies on poisoned Small Language Models (SLMs). The objective is to analyze how different components of transformer architectures contribute to adversarial behaviors such as backdoor activation, data leakage, and prompt manipulation.</p> <p>The dataset supports the findings presented in the associated research work on LLM vulnerability assessment.</p> <p>The dataset is organized into four primary experimental configurations:</p> <p>- Model_Deep_DOS<br>- Model_Deep_Low<br>- Model_Shallow_High<br>- Model_Shallow_Low</p> <p>The dataset includes experiments across multiple ablation strategies:</p> <p>- Neuron-level ablation (true / random)<br>- Layer-wise ablation<br>- Residual channel ablation<br>- Mask-based ablation<br>- Intra-block : Layer Zero sub structure ablation of Model_shallow_high</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19640295 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Poisoned SLM Ablation Dataset Sharma, Neelkamal Large Language Models Ablation Study Small Language Models Transformers Neuron Level Ablation Channel Level Ablation <p>This dataset contains experimental artifacts used for conducting ablation studies on poisoned Small Language Models (SLMs). The objective is to analyze how different components of transformer architectures contribute to adversarial behaviors such as backdoor activation, data leakage, and prompt manipulation.</p> <p>The dataset supports the findings presented in the associated research work on LLM vulnerability assessment.</p> <p>The dataset is organized into four primary experimental configurations:</p> <p>- Model_Deep_DOS<br>- Model_Deep_Low<br>- Model_Shallow_High<br>- Model_Shallow_Low</p> <p>The dataset includes experiments across multiple ablation strategies:</p> <p>- Neuron-level ablation (true / random)<br>- Layer-wise ablation<br>- Residual channel ablation<br>- Mask-based ablation<br>- Intra-block : Layer Zero sub structure ablation of Model_shallow_high</p> |
| title | Poisoned SLM Ablation Dataset |
| topic | Large Language Models Ablation Study Small Language Models Transformers Neuron Level Ablation Channel Level Ablation |
| url | https://doi.org/10.5281/zenodo.19640295 |