Papers by Nihildev Nandakumar
A Comparative Analysis of Word-Level Metric Differential Privacy: Benchmarking the Privacy-Utility Trade-off (2024.lrec-main)
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| Challenge: | Differential Privacy (DP) has been used in NLP for years to address privacy concerns . privacy-enhancing technologies (PETs) are concrete technical solutions that can be incorporated into existing systems. |
| Approach: | They compare different Differential Privacy algorithms for word-level NLP tasks . they propose concrete steps forward to combat privacy risks in NLP settings . |
| Outcome: | The proposed methods perform better than the proposed methods on two NLP tasks. |