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Sauvik Das

Carnegie Mellon University

4 papers hereh-index 242.7k citations55 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3
  • last author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.HC3
  • cs.CR1
affiliations
  • Carnegie Mellon University
Homepage
same name
  • Sauvik Das — 10 papers, h 4
  • Sauvik Das — 6 papers, h 2
  • Sauvik Das — 4 papers, h 3
  • Sauvik Das — 2 papers, h 2
  • Sauvik Das — 1 paper, h 4
  • Sauvik Das — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most cited"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents

87 citations · 94 across the 4 of their papers we have counts for

collaborators
Showing cs.HCShow all

3 papers · 1 filter

cs.HC2024★ 2 cited

Human-Centered Privacy Research in the Age of Large Language Models

Tianshi Li, Sauvik Das, Hao-Ping Lee +3

The emergence of large language models (LLMs), and their increased use in user-facing systems, has led to substantial privacy concerns. To date, research on these privacy concerns…

cs.HC2023★ 2 cited

Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks

Hao-Ping Lee, Yu-Ju Yang, Thomas Serban von Davier +2

Privacy is a key principle for developing ethical AI technologies, but how does including AI technologies in products and services change privacy risks? We constructed a taxonomy o…

cs.HC2023★ 87 cited

"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents

Zhiping Zhang, Michelle Jia, Hao-Ping Lee +5

The widespread use of Large Language Model (LLM)-based conversational agents (CAs), especially in high-stakes domains, raises many privacy concerns. Building ethical LLM-based CAs…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.