11 citations · 37 across the 20 of their papers we have counts for
6 papers · 1 filter
Towards Harnessing the Power of LLMs for ABAC Policy Mining
More Aayush Babasaheb, Shamik Sural
This paper presents an empirical investigation into the capabilities of Large Language Models (LLMs) to perform automated Attribute-based Access Control (ABAC) policy mining. While…
Auditable Ledger Snapshot for Non-Repudiable Cross-Blockchain Communication
Tirthankar Sengupta, Bishakh Chandra Ghosh, Sandip Chakraborty +1
Blockchain interoperability is increasingly recognized as the centerpiece for robust interactions among decentralized services. Blockchain ledgers are generally tamper-proof and th…
Strategic Incentivization for Locally Differentially Private Federated Learning
Yashwant Krishna Pagoti, Arunesh Sinha, Shamik Sural
In Federated Learning (FL), multiple clients jointly train a machine learning model by sharing gradient information, instead of raw data, with a server over multiple rounds. To add…
SolRPDS: A Dataset for Analyzing Rug Pulls in Solana Decentralized Finance
Abdulrahman Alhaidari, Bhavani Kalal, Balaji Palanisamy +1
Rug pulls in Solana have caused significant damage to users interacting with Decentralized Finance (DeFi). A rug pull occurs when developers exploit users' trust and drain liquidit…
Generation of Optimized Solidity Code for Machine Learning Models using LLMs
Nikumbh Sarthak Sham, Sandip Chakraborty, Shamik Sural
While a plethora of machine learning (ML) models are currently available, along with their implementation on disparate platforms, there is hardly any verifiable ML code which can b…
LMN: A Tool for Generating Machine Enforceable Policies from Natural Language Access Control Rules using LLMs
Pratik Sonune, Ritwik Rai, Shamik Sural +2
Organizations often lay down rules or guidelines called Natural Language Access Control Policies (NLACPs) for specifying who gets access to which information and when. However, the…