activity
20132022
most citedOwnership preserving AI Market Places using Blockchain

40 citations · 65 across the 6 of their papers we have counts for

collaborators

7 papers

cs.AI2022★ 1 cited

Explainable Data Imputation using Constraints

Sandeep Hans, Diptikalyan Saha, Aniya Aggarwal

Data values in a dataset can be missing or anomalous due to mishandling or human error. Analysing data with missing values can create bias and affect the inferences. Several analys…

cs.LG2021

Data Synthesis for Testing Black-Box Machine Learning Models

Diptikalyan Saha, Aniya Aggarwal, Sandeep Hans

The increasing usage of machine learning models raises the question of the reliability of these models. The current practice of testing with limited data is often insufficient. In…

cs.LG2021★ 21 cited

Data Quality Toolkit: Automatic assessment of data quality and remediation for machine learning datasets

Nitin Gupta, Hima Patel, Shazia Afzal +10

The quality of training data has a huge impact on the efficiency, accuracy and complexity of machine learning tasks. Various tools and techniques are available that assess data qua…

cs.LG2021

Testing Framework for Black-box AI Models

Aniya Aggarwal, Samiulla Shaikh, Sandeep Hans +3

With widespread adoption of AI models for important decision making, ensuring reliability of such models remains an important challenge. In this paper, we present an end-to-end gen…

cs.DC2020★ 40 cited

Ownership preserving AI Market Places using Blockchain

Nishant Baranwal Somy, Kalapriya Kannan, Vijay Arya +4

We present a blockchain based system that allows data owners, cloud vendors, and AI developers to collaboratively train machine learning models in a trustless AI marketplace. Data…

cs.DC2018

Processing Transactions in a Predefined Order

Mohamed M. Saad, Masoomeh Javidi Kishi, Shihao Jing +2

In this paper we provide a high performance solution to the problem of committing transactions while enforcing a predefined order. We provide the design and implementation of three…

cs.DC2013★ 3 cited

Safety of Deferred Update in Transactional Memory

Hagit Attiya, Sandeep Hans, Petr Kuznetsov +1

Transactional memory allows the user to declare sequences of instructions as speculative \emph{transactions} that can either \emph{commit} or \emph{abort}. If a transaction commits…