Papers by Sauvik Das
Granular Privacy Control for Geolocation with Vision Language Models (2024.emnlp-main)
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| Challenge: | Vision Language Models (VLMs) are rapidly advancing in their capability to answer information-seeking questions. |
| Approach: | They develop a benchmark to evaluate the ability of VLMs to moderate geolocation dialogues with users. |
| Outcome: | a new benchmark evaluates the ability of VLMs to moderate geolocation conversations with users. |
Reducing Privacy Risks in Online Self-Disclosures with Language Models (2024.acl-long)
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| Challenge: | Disclosure is a social media activity that can be rewarding but also poses privacy risks. |
| Approach: | They propose to detect and abstract online self-disclosures using a large corpus of 4.8K annotated disclosure spans and a language model to fine-tune for detection. |
| Outcome: | The proposed model can detect and abstract self-disclosures with 80% accuracy, on-par with GPT-3.5. |