Supriyo Chakraborty

ORCID: 0000-0003-3171-7808
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About
Contact & Profiles
Research Areas
  • Climate variability and models
  • Geology and Paleoclimatology Research
  • Plant Water Relations and Carbon Dynamics
  • Ionosphere and magnetosphere dynamics
  • Atmospheric and Environmental Gas Dynamics
  • Groundwater and Isotope Geochemistry
  • Privacy-Preserving Technologies in Data
  • Mobile Crowdsensing and Crowdsourcing
  • Coral and Marine Ecosystems Studies
  • Isotope Analysis in Ecology
  • Solar and Space Plasma Dynamics
  • Tree-ring climate responses
  • Geophysics and Gravity Measurements
  • Earthquake Detection and Analysis
  • Archaeology and ancient environmental studies
  • Oceanographic and Atmospheric Processes
  • Marine and fisheries research
  • Atmospheric chemistry and aerosols
  • Tropical and Extratropical Cyclones Research
  • Cryptography and Data Security
  • Privacy, Security, and Data Protection
  • Atmospheric Ozone and Climate
  • Methane Hydrates and Related Phenomena
  • Coastal wetland ecosystem dynamics
  • GNSS positioning and interference

Indian Institute of Tropical Meteorology
2016-2025

Ministry of Earth Sciences
2019-2025

Savitribai Phule Pune University
2018-2024

IBM (United States)
2017-2024

Assam University
2016-2024

Jawaharlal Nehru University
2017

IBM Research - Thomas J. Watson Research Center
2017

University of California, Los Angeles
2011-2015

Embedded Systems (United States)
2014

WinnMed
2014

Deep neural networks are vulnerable to adversarial examples, even in the black-box setting, where attacker is restricted solely query access. Existing approaches generating examples typically require a significant number of queries, either for training substitute network or performing gradient estimation. We introduce GenAttack, gradient-free optimization technique that uses genetic algorithms synthesizing setting. Our experiments on different datasets (MNIST, CIFAR-10, and ImageNet) show...

10.1145/3321707.3321749 article EN Proceedings of the Genetic and Evolutionary Computation Conference 2019-07-03

Differential privacy (DP) is a widely accepted mathematical framework for protecting data privacy.Simply stated, it guarantees that the distribution of query results changes only slightly due to modification any one tuple in database.This allows protection, even against powerful adversaries, who know entire database except tuple.For providing this guarantee, differential mechanisms assume independence tuples -a vulnerable assumption can lead degradation expected levels especially when...

10.14722/ndss.2016.23279 article EN 2016-01-01

Abstract Isotopic analysis of precipitation over the Andaman Island, Bay Bengal was carried out for year 2012 and 2013 in order to study atmospheric controls on rainwater isotopic variations. The oxygen hydrogen compositions are typical tropical marine sites but show significant variations depending ocean-atmosphere conditions; maximum depletion observed during cyclones. composition seems be controlled by dynamical nature moisture rather than individual rain events. Precipitation isotopes...

10.1038/srep19555 article EN cc-by Scientific Reports 2016-01-25

The appearance of COVID-19 in December, 2019 China and its rapid spread all over the globe, forced governments to severely curb social economic activities their respective countries. Barring essential services, most business transport sectors have been suspended an unprecedented lockdown imposed major economies world. South-East Asian regions, such as India China, were no different. As a result, pollutant level has gone down these air quality improved somewhat better than it was before...

10.4209/aaqr.2020.05.0240 article EN Aerosol and Air Quality Research 2020-01-01

Smart phones are used to collect and share personal data with untrustworthy third-party apps, often leading misuse privacy violations. Unfortunately, state-of-the-art mechanisms on Android provide inadequate access control do not address the vulnerabilities that arise due unmediated so-called innocuous sensors these phones. We present ipShield, a framework provides users greater over their resources at runtime. ipShield performs monitoring of every sensor accessed by an app uses this...

10.5555/2616448.2616463 article EN Networked Systems Design and Implementation 2014-04-02

Abstract We present precipitation isotope data (δ 2 H and δ 18 O values) from 19 stations across the tropics collected 2012 to 2017 under Coordinated Research Project F31004 sponsored by International Atomic Energy Agency. Rainfall samples were daily analysed for stable isotopic ratios of oxygen hydrogen participating laboratories following a common analytical framework. also calculated mean stratiform rainfall area fractions around each station over an 5° x longitude/latitude based on...

10.1038/s41598-019-50973-9 article EN cc-by Scientific Reports 2019-10-08

Amongst all the anthropogenically produced greenhouse gases (GHGs), carbon dioxide (CO

10.1038/s41598-021-82321-1 article EN cc-by Scientific Reports 2021-02-03

We study the competing goals of utility and privacy as they arise when a user shares personal sensor data with apps on smartphone. On one hand, there can be value to for sharing in form various personalized services recommendations; other is risk revealing behaviors app producers that would like keep private. The current approaches privacy, usually defined multi-user settings, rely anonymization prevent such sensitive from being traced back user---a strategy which does not apply if identity...

10.1145/2444776.2444791 article EN 2013-02-26

We present here, for the first time, comprehensive depth specific (near surface to 1800 m) oxygen isotope (δ 18 O) data set of 175 water samples collected from 22 different locations in Bay Bengal (BoB) during July–August 2009 and December–January 2012–2013. The study is aimed constrain mass parameters using salinity. Four masses are identified on basis temperature‐salinity relationship: (a) Water (BoBW; 0–50 m), (b) Mixed Zone (MZ; 60–120 (c) Indonesian Throughflow (ITF; 200–500 (d) Indian...

10.1002/2013jc008973 article EN Journal of Geophysical Research Oceans 2013-12-01

This study presents an analysis of the Indian summer monsoon (ISM) rainfall variations for a 1460-year period (1720–3180, Before Present BP: 1950 AD), based on long record stable isotopic (δ 18 O) with high temporal resolution (~annual) obtained from U-Th dated stalagmite Kadapa cave in peninsular India. proxy captures associated wet and dry monsoons decadal to centennial time-scales, together general declining trend ISM during period. It is noted that follows northern hemispheric...

10.1177/0959683618788647 article EN The Holocene 2018-08-02

Abstract The intra-seasonal variation in precipitation isotopes shows a characteristic declining trend over northeast India. As of now, no mechanism offers consistent explanation this trend. We have performed the isotopic analysis (rain) and estimated net ecosystem exchange latent heat fluxes using an eddy-covariance system Additionally, we used diagnostic model to determine recycled rainfall region. find strong link between enhanced productivity enrichment rainwater during premonsoon...

10.1038/s41612-022-00231-z article EN cc-by npj Climate and Atmospheric Science 2022-02-09
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