5 papers
Towards Inference-Aware Privacy Guidance for Data Preparation
Vishal Chakraborty, Felix Naumann
Data preparation often begins with sensitive data and produces a releasable artifact for analysis, sharing, or model training. Existing workflows are primarily guided by utility: a…
Don't Stir the Pot! Authorized Vector Data Retrieval via Access-Aware Indexing
Shanshan Han, Vishal Chakraborty, Sharad Mehrotra
Vector databases increasingly enforce role-based access control, where each top-k approximate nearest neighbor query must return only vectors the querying role is authorized to acc…
Post-Quantum Cryptographic Analysis of Message Transformations Across the Network Stack
Ashish Kundu, Vishal Chakraborty, Ramana Kompella
When a user sends a message over a wireless network, the message does not travel as-is. It is encrypted, authenticated, encapsulated, and transformed as it descends the protocol st…
Inference-Aware & Privacy-Preserving Deletion in Databases
Vishal Chakraborty, Youri Kaminsky, Arnav Abhijit Dhariya +3
Deletion is a fundamental database operation, yet modern systems often fail to provide the privacy guarantee that users expect from it. A deleted value may disappear from query res…
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…