Papers by Payel Bhattacharjee

1 papers
STAMP: Selective Task-Aware Mechanism for Text Privacy (2026.eacl-long)

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Challenge: Experimental evaluations on SQuAD, Yelp, and AG News datasets demonstrate that STAMP achieves superior privacy–utility trade-offs across varying per-token privacy budgets.
Approach: They propose a new framework for task-aware text privatization that selectively allocates privacy budgets across tokens by jointly considering (i) each token’s importance to the downstream task and (ii) its privacy sensitivity.
Outcome: The proposed framework achieves superior privacy–utility trade-offs on SQuAD, Yelp, and AG News datasets.

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