Manish Kesarwani  Manish Kesarwani photo         

contact information

Research Scientist
IBM Research, Bangalore, India
  +91dash80491dash43823

links



2021

Dynamically Analyzing Diagnostic Operations Data Via Machine Learning Techniques
Kesarwani Manish, Kaul Akshar, Min Hong
dynamic data, data classification, identifier, computer program, machine learning, computer science, selection, workload, granularity, artificial intelligence, identifier type
Abstract

Dynamically Managing Predicate Expression Columns in an Encrypted Database
Akshar Kaul, Gagandeep Singh, Hong Min, Manish Kesarwani
US Patent App. 16/519,489

Information set purchase recommendations
Akshar Kaul, Manish Kesarwani, Gagandeep Singh, Sameep Mehta
US Patent 10,885,571


2020

Encryption scheme recommendation
Manish Kesarwani, Akshar Kaul, Gagandeep Singh, Sameep Mehta, Hong Min, James Willis Pickel
US Patent App. 16/433,980

Generating data migration plan for in-place encryption of data
Akshar Kaul, Diptikalyan Saha, Gagandeep Singh, Manish Kesarwani
US Patent App. 16/364,926

Detecting and delaying effect of machine learning model attacks
Manish Kesarwani, Atul Kumar, Vijay Arya, Rakesh R Pimplikar, Sameep Mehta
US Patent 10,824,721

ADVERSARIAL TREATMENT TO MACHINE LEARNING MODEL ADVERSARY
Kesarwani Manish, Vijaykeerthy Deepak, Mehta Sameep, Samanta Suranjana, Sankaranarayanan Karthik
machine learning, computer science, artificial intelligence, adversary, adversarial system
Abstract

Tracking Missing Data Using Provenance Traces and Data Simulation
Joshi Salil, Karanam Hima Prasad, Kesarwani Manish, Mehta Sameep
provenance, multiple stages, missing data, information retrieval, data simulation, data curation, computer science, computer program
Abstract


2019

ANONYMOUS ENCRYPTED DATA
Antonatos Spyridon, Braghin Stefano, Kaul Akshar, Kesarwani Manish, Mehta Sameep
rendering, encryption, computer science, computer network, anonymity
Abstract

HALF-PYRAMID DATA ENCRYPTION
Kaul Akshar, Kesarwani Manish, Mehta Sameep, Naldurg Prasad G, Singh Gagandeep
row, pyramid, plaintext, encryption, computer science, arithmetic
Abstract

SECURE ENCRYPTED DOCUMENT RETRIEVAL
Narayanam Krishnasuri, Kesarwani Manish, Mehta Sameep
plaintext, information retrieval, encryption, document retrieval, computer science
Abstract

INFORMATION SET PURCHASE RECOMMENDATIONS
Kaul Akshar, Kesarwani Manish, Singh Gagandeep, Mehta Sameep
information set, information retrieval, data as a service, computer science
Abstract

Secure order preserving string compression
Kesarwani Manish, Kaul Akshar, Mehta Sameep, Min Hong
theoretical computer science, public key cryptography, plaintext, granularity, fold, encryption, computer science, binary search tree
Abstract

System and method for root cause analysis in large scale data curation flows using provenance
Karanan Hima P, Kesarwani Manish, Joshi Salil, Jain Mohit, Mehta Sameep
root cause analysis, provenance, large scale data, data mining, computer science, computer program
Abstract

RESILIENCY OF MACHINE LEARNING MODELS
Kesarwani Manish, Samanta Suranjana, Vijaykeerthy Deepak, Mehta Sameep, Sankaranarayanan Karthik
psychological resilience, machine learning, computer science, artificial intelligence
Abstract

Enabling Distance-Based Operations on Data Encrypted Using a Homomorphic Encryption Scheme with Inefficient Decryption
Singh Gagandeep, Kaul Akshar, Kesarwani Manish, Mehta Sameep
theoretical computer science, plaintext, homomorphic encryption, euclidean space, encryption, distance based, computer science, computer program, ciphertext
Abstract

DETECTING AND DELAYING EFFECT OF MACHINE LEARNING MODEL ATTACKS
Kesarwani Manish, Kumar Atul, Arya Vijay, Pimplikar Rakesh R, Mehta Sameep
retraining, machine learning, computer science, artificial intelligence
Abstract

Providing the Status of Model Extraction in the Presence of Colluding Users
Kesarwani Manish, Arya Vijay, Mehta Sameep
user input, model extraction, machine learning, computer science, computer program, artificial intelligence
Abstract


2018

Securely processing range predicates on cloud databases
Manish Kesarwani, Akshar Kaul, Gagandeep Singh, Prasad M. Deshpande, Jayant R. Haritsa

Secure distance computations
Singh Gagandeep, Kaul Akshar, Kesarwani Manish, Naldurg Prasad, Mehta Sameep
theoretical computer science, multiple data, data point, computer science, computer program, computation, cloud computing
Abstract


2017