Papers by Saiteja Utpala
Locally Differentially Private Document Generation Using Zero Shot Prompting (2023.findings-emnlp)
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| Challenge: | Existing privacy protections are limited by pretrained large language models . a new mechanism that leverages the power of large language model de-anonymization is proposed . |
| Approach: | They propose a locally differentially private mechanism that leverages pretrained large language models to counter author de-anonymization attacks by minimizing the impact on downstream utility. |
| Outcome: | The proposed mechanism reduces the success rate of de-anonymization attacks against IMDB datasets while minimizing the impact on downstream utility. |
Language Agnostic Code Embeddings (2024.naacl-long)
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| Challenge: | Recent studies show that code language models have strong cross-lingual traits, but their multilingual representations can be dissected into a language-specific syntax component and a semantic component. |
| Approach: | They propose to isolate and eliminate language-specific components from multilingual code embeddings to improve downstream code retrieval tasks. |
| Outcome: | The proposed model improves retrieval tasks by removing language-specific components . the proposed model can be used to perform a variety of code generation tasks . |