1 citations · 1 across the 3 of their papers we have counts for
4 papers
Beyond Instruction Override: Benchmarking Indirect Prompt Injection with Task-Tampering Attacks
Rongting Zhang, Martin Bertran, Sandeep Avula +2
Indirect prompt-injection (IPI) benchmarks predominantly test planted instructions that redirect a tool-using agent toward an attacker-chosen task. Yet attacker-controlled content…
LLM or Human? Perceptions of Trust and Information Quality in Research Summaries
Nil-Jana Akpinar, Sandeep Avula, CJ Lee +3
Large Language Models (LLMs) are increasingly used to generate and edit scientific abstracts, yet their integration into academic writing raises questions about trust, quality, and…
A Use-Case Specific Dataset for Measuring Dimensions of Responsible Performance in LLM-generated Text
Alicia Sagae, Chia-Jung Lee, Sandeep Avula +2
Current methods for evaluating large language models (LLMs) typically focus on high-level tasks such as text generation, without targeting a particular AI application. This approac…
Who's Asking? Evaluating LLM Robustness to Inquiry Personas in Factual Question Answering
Nil-Jana Akpinar, Chia-Jung Lee, Vanessa Murdock +1
Large Language Models (LLMs) should answer factual questions truthfully, grounded in objective knowledge, regardless of user context such as self-disclosed personal information, or…