3 citations · 3 across the 4 of their papers we have counts for
7 papers
NOMAI: Scalable Federated Learning with Private Weights
Yiyi Sun, Mushtari Sadia, Amrita Roy Chowdhury
The twin goals of privacy-preserving federated learning (FL) -- harnessing distributed data while protecting the parties who contribute it -- demands three properties: model privac…
PIMENTO: A Privacy Framework for Querying Text
Mushtari Sadia, Ang Chen, Amrita Roy Chowdhury
Currently, there are two state-of-the-art, complementary privacy guarantees: contextual integrity (CI) for what may flow, and differential privacy (DP) for what may be inferred. Ye…
Trinqet: Private Triangle and Quadrangle Counting over Distributed Graphs
Mushtari Sadia, Amrita Roy Chowdhury
Triangle and quadrangle counts are core statistics in graph analysis. Yet many real-world graphs are distributed across multiple parties and encode highly sensitive relationships,…
SPARC: A Multi-Agent System for Electrical Circuit Question Answering
Mushtari Sadia, Zhenning Yang, Umme Habiba Lamia +3
Electrical circuit diagram QA tasks require complex mathematical reasoning, which remains challenging for multimodal LLMs. We present SPARC, a multi-agent system that answers quest…
A Case for Computing on Unstructured Data
Mushtari Sadia, Amrita Roy Chowdhury, Ang Chen
Unstructured data, such as text, images, audio, and video, comprises the vast majority of the world's information, yet it remains poorly supported by traditional data systems that…
SQUiD: Synthesizing Relational Databases from Unstructured Text
Mushtari Sadia, Zhenning Yang, Yunming Xiao +2
Relational databases are central to modern data management, yet most data exists in unstructured forms like text documents. To bridge this gap, we leverage large language models (L…
LogShield: A Transformer-based APT Detection System Leveraging Self-Attention
Sihat Afnan, Mushtari Sadia, Shahrear Iqbal +1
Cyber attacks are often identified using system and network logs. There have been significant prior works that utilize provenance graphs and ML techniques to detect attacks, specif…