5 papers
Policy-aware Vector Search: A Vision for Fine Grained Access Control in Vector Databases
Lakshmi Sahithi Yalamarthi, Primal Pappachan
Vector databases are increasingly used in security sensitive contexts with Retrieval Augmented Generation and organizational AI pipelines; however, their security capabilities rema…
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…
Meaningful Data Erasure in the Presence of Dependencies
Vishal Chakraborty, Youri Kaminsky, Sharad Mehrotra +5
Data regulations like GDPR require systems to support data erasure but leave the definition of "erasure" open to interpretation. This ambiguity makes compliance challenging, especi…
Time-Efficient Locally Relevant Geo-Location Privacy Protection
Chenxi Qiu, Ruiyao Liu, Primal Pappachan +2
Geo-obfuscation serves as a location privacy protection mechanism (LPPM), enabling mobile users to share obfuscated locations with servers, rather than their exact locations. This…