6 papers
Privacy Without Losing Place: A Paradigm for Private Retrieval in Spatial RAGs
Kennedy Edemacu, Mohammad Mahdi Shokri, Vinay M. Shashidhar +1
This work introduces PAS -- Privacy Anchor Substitution, a structured mechanism for enabling user location privacy in spatial retrieval-augmented generation (RAG) systems. Unlike c…
Hidden in the Metadata: Stealth Poisoning Attacks on Multimodal Retrieval-Augmented Generation
Kennedy Edemacu, Mohammad Mahdi Shokri
Retrieval-augmented generation (RAG) has emerged as a powerful paradigm for enhancing multimodal large language models by grounding their responses in external, factual knowledge a…
Story2MIDI: Emotionally Aligned Music Generation from Text
Mohammad Shokri, Alexandra C. Salem, Gabriel Levine +2
In this paper, we introduce Story2MIDI, a sequence-to-sequence Transformer-based model for generating emotion-aligned music from a given piece of text. To develop this model, we co…
Chord-conditioned Melody and Bass Generation
Alexandra C Salem, Mohammad Shokri, Johanna Devaney
We evaluate five Transformer-based strategies for chord-conditioned melody and bass generation using a set of music theory-motivated metrics capturing pitch content, pitch interval…
Analysis of Propaganda in Tweets From Politically Biased Sources
Vivek Sharma, Mohammad Mahdi Shokri, Sarah Ita Levitan +2
News outlets are well known to have political associations, and many national outlets cultivate political biases to cater to different audiences. Journalists working for these news…
Personalized Author Obfuscation with Large Language Models
Mohammad Shokri, Sarah Ita Levitan, Rivka Levitan
In this paper, we investigate the efficacy of large language models (LLMs) in obfuscating authorship by paraphrasing and altering writing styles. Rather than adopting a holistic ap…