21 citations · 31 across the 7 of their papers we have counts for
8 papers
Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning
Aamir Hamid, Bharg Barot, Satvik Racharla +3
While large language models (LLMs) enable strong question answering (QA), budgeted deployment is complicated by nondeterminism and heterogeneous resource profiles (cost, latency, a…
Scalable Enforcement of Fine Grained Access Control Policies in Relational Database Management Systems
Anadi Shakya, Primal Pappachan, David Maier +3
The proliferation of smart technologies and evolving privacy regulations such as the GDPR and CPRA has increased the need to manage fine-grained access control (FGAC) policies in d…
GenAIPABench: A Benchmark for Generative AI-based Privacy Assistants
Aamir Hamid, Hemanth Reddy Samidi, Tim Finin +2
Privacy policies of websites are often lengthy and intricate. Privacy assistants assist in simplifying policies and making them more accessible and user friendly. The emergence of…
A Study of the Landscape of Privacy Policies of Smart Devices
Aamir Hamid, Hemanth Reddy Samidi, Tim Finin +2
As the adoption of smart devices continues to permeate all aspects of our lives, user privacy concerns have become more pertinent than ever. Privacy policies outline the data handl…
FedSPLIT: One-Shot Federated Recommendation System Based on Non-negative Joint Matrix Factorization and Knowledge Distillation
Maksim E. Eren, Luke E. Richards, Manish Bhattarai +3
Non-negative matrix factorization (NMF) with missing-value completion is a well-known effective Collaborative Filtering (CF) method used to provide personalized user recommendation…
LOCATER: Cleaning WiFi Connectivity Datasets for Semantic Localization
Yiming Lin, Daokun Jiang, Roberto Yus +4
This paper explores the data cleaning challenges that arise in using WiFi connectivity data to locate users to semantic indoor locations such as buildings, regions, rooms. WiFi con…
Sieve: A Middleware Approach to Scalable Access Control for Database Management Systems
Primal Pappachan, Roberto Yus, Sharad Mehrotra +1
Current approaches of enforcing FGAC in Database Management Systems (DBMS) do not scale in scenarios when the number of policies are in the order of thousands. This paper identifie…
PIQUE: Progressive Integrated QUery Operator with Pay-As-You-Go Enrichment
Dhrubajyoti Ghosh, Roberto Yus, Yasser Altowim +1
Big data today in the form of text, images, video, and sensor data needs to be enriched (i.e., annotated with tags) prior to be effectively queried or analyzed. Data enrichment (th…