2 citations · 7 across the 10 of their papers we have counts for
11 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…
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…
Differentially Private Streaming Data Release under Temporal Correlations via Post-processing
Xuyang Cao, Yang Cao, Primal Pappachan +2
The release of differentially private streaming data has been extensively studied, yet striking a good balance between privacy and utility on temporally correlated data in the stre…
Preventing Inferences through Data Dependencies on Sensitive Data
Primal Pappachan, Shufan Zhang, Xi He +1
Simply restricting the computation to non-sensitive part of the data may lead to inferences on sensitive data through data dependencies. Inference control from data dependencies ha…
User Customizable and Robust Geo-Indistinguishability for Location Privacy
Primal Pappachan, Chenxi Qiu, Anna Squicciarini +1
Location obfuscation functions generated by existing systems for ensuring location privacy are monolithic and do not allow users to customize their obfuscation range. This can lead…
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…