Papers by Saket Maheshwary
A Strong Baseline for Query Efficient Attacks in a Black Box Setting (2021.emnlp-main)
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| Challenge: | Existing black box search methods are inefficient as they do not consider the amount of queries required to generate adversarial attacks. |
| Approach: | They propose a query efficient attack strategy to generate plausible adversarial examples on text classification and entailment tasks. |
| Outcome: | The proposed attack reduces query count by 75% across all datasets and target models compared to prior attacks in a limited query setting. |
Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address Matching (2024.emnlp-industry)
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| Challenge: | Existing approaches to address matching and building authoritative address catalogues are limited in data quality and require labeling effort to develop accurate models. |
| Approach: | They propose to view addresses as an address graph and curate inputs by placing geospatially linked addresses in the same context. |
| Outcome: | The proposed framework improves address matching and fine-tuning language models. |