63 citations · 63 across the 2 of their papers we have counts for
2 papers
cs.IR2026
SIREN (Luring LLMs onto the Rocks): PAIR-Driven Preference Manipulation in Web-RAG Recommenders
Evan Caville, Spencer Kayser, Siamak Layeghy +3
This paper investigates the adversarial manipulation of the ranked recommendations produced by web-augmented large language models (LLMs). When an LLM answers a recommendation quer…
cs.LG2020★ 63 cited
Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
Seyedeh Faezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy +3
Automated cattle activity classification allows herders to continuously monitor the health and well-being of livestock, resulting in increased quality and quantity of beef and dair…