Supriyo Chakraborty  Supriyo Chakraborty photo         

contact information

Research Staff Member, Master Inventor
Thomas J. Watson Research Center, Yorktown Heights, NY USA
  +1dash914dash945dash3194

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Professional Associations

Professional Associations:  ACM  |  IEEE


2020

Explaining Motion Relevance For Activity Recognition in Video Deep Learning Models
Liam Hiley, Alun Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram and Richard Tomsett
arXiv Preprint, 2020

Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI
Richard Tomsett, Alun Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani Srivastava, Gavin Pearson, and Lance Kaplan
Patterns, 2020

Improving Adversarial Robustness Through Progressive Hardening
Chawin Sitawarin, Supriyo Chakraborty, David Wagner
arXiv Preprint, 2020

Sanity Checks for Saliency Metrics
Dan Harborne, Richard Tomsett, Supriyo Chakraborty, Prudhvi Gurram, Alun Preece
AAAI, 2020

IBM Federated Learning: an Enterprise Framework White Paper V0.1
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Whitherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
arXiv preprint, 2020


2019

NIST Differential Privacy Synthetic Data Challenge
Mani Srivastava, Moustafa Alzantot, Supriyo Chakraborty, Nat Snyder
2019
Final challenge winners (5th place)

Analyzing Federated Learning Through an Adversarial Lens
Arjun Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin Calo
International Conference on Machine Learning (ICML), 2019

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani Srivastava
ACM Genetic and Evolutionary Computing Conference (GECCO), 2019

Fair Transfer Learning with Missing Protected Attributes
A. Coston, K. Natesan Ramamurthy, D. Wei, K. R. Varshney, S. Speakman, Z. Mustahsan, S. Chakraborty
AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES), 2019

NASA Frontier Development Laboratory: Astronaut Health Generation of Simulated Biosensor
Astronaut Health Team
2019
Mentor and Contributor


2018

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Mani Srivastava
arXiv Preprint, 2017 , 2018

Self-Generation of Access Control Policies
Seraphin Calo, Dinesh Verma, Supriyo Chakraborty, Elisa Bertino, Emil Lupu, Gregory Cirincione
ACM Symposium on Access Control Models and Technologies (SACMAT), 2018

Model Poisoning Attacks in Federated Learning
Arjun Nitin Bhagoji, Supriyo Chakraborty, Seraphin Calo, Prateek Mittal
Security in Machine Learning (co-located with NIPS), 2018
Selected for oral presentation

Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
Richard Tomsett, Dave Braines, Dan Harborne, Alun Preece, Supriyo Chakraborty
Workshop on Human Interpretability in Machine Learning (co-located with ICML), 2018

Your phone is like a spy in your pocket
Maria Temming
Science News Magazine, 2018

Enabling Edge Devices that Learn from Each Other: Cross Model Training for Activity Recognition
Tianwei Xing, Sandeep Singh Sandha, Bharathan Balaji, Supriyo Chakraborty, Mani Srivastava
EdgeSys (co-located with ACM MobiSys), 2018

Computing Messages Achieving Pareto-Optimal MI-Based Privacy-Utility Tradeoffs from Full Data
Matthew Johnson, Liang Zhao, Supriyo Chakraborty
Journal of Selected Topics in Signal Processing, 2018

LightSpy: Optical eavesdropping on displays using light sensors on mobile devices
Supriyo Chakraborty, Wentao Robin Ouyang, Mani Srivastava
PADG (co-located with IEEE BigData), 2018

Why the failure? How adversarial examples can provide insights for interpretable machine learning
Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer Rao, Mani Srivastava
International Conference on Information Fusion (IEEE Fusion), 2018


2017


Computing Messages that Reveal Selected Inferences while Protecting Others
Matthew Johnson, Liang Zhao, Supriyo Chakraborty
IEEE Information Theory Workshop, 2017


Deep Learning for Situational Understanding
Supriyo Chakraborty, Alun Preece, Moustafa Alzantot, Tianwei Xing, Dave Braines, Mani Srivastava
International Conference on Information Fusion (IEEE FUSION), 2017

SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation
Moustafa Alzantot, Supriyo Chakraborty, Mani Srivastava
IEEE BICA (co-located with IEEE PerCom), 2017

PrIA: A Private Intelligent Assistant
Aruna Balasubramanian, Niranjan Balasubramanian, Supriyo Chakraborty, Shashank Jain, Vivek Tiwari (in alphabetical order)
ACM HotMobile, 2017
MIT Tech Review article: https://www.technologyreview.com/s/603393/this-app-offers-personal-recommendations-while-keeping-your-data-private/

ProLoc: Resilient Localization with Private Observers Using Partial Homomorphic Encryption
Amr Alnwar, Yasser Shoukry, Supriyo Chakraborty, Paul Martin, Paulo Tabuada, Mani Srivastava
ACM/IEEE IPSN (Best Demo Award), 2017


2016

Fast Image Clustering on Network of Mobile Phones
Jorge Ortiz, Chien-Chin Huang, Supriyo Chakraborty
On-Device Intelligence (co-located with ICML), 2016

Eavesdropping and Obfuscation Techniques for Smartphones
Supriyo Chakraborty, Omer Tripp
IEEE/ACM MobileSoft, 2016

mSieve: Differential Behavioral Privacy in Time Series of Mobile Sensor Data
Nazir Saleheen, Supriyo Chakraborty, Nasir Ali, M. Rahman, S. Hossain, R. Bari, Eugene Buder, Mani Srivastava, Santosh Kumar
ACM UbiComp (Best Paper Award, Honorable Mention), 2016

Dependence makes you vulnerable: differential privacy under dependent tuples
Changchang Liu, Supriyo Chakraborty, Prateek Mittal
NDSS Symposium, 2016
Blog: https://freedom-to-tinker.com/blog/pmittal/differential-privacy-is-vulnerable-to-correlated-data-introducing-dependent-differential-privacy/


2015

Partial observable update for subjective logic and its application for trust estimation
Lance M. Kaplan, Murat Sensoy, Supriyo Chakraborty, Geeth de Mel
Information Fusion, 2015

AnonyCast: privacy-preserving location distribution for anonymous crowd tracking systems
Takamasa Higuchi, Paul Martin, Supriyo Chakraborty, Mani B. Srivastava
ACM UbiComp, 2015


2014

Inference management, trust and obfuscation principles for quality of information in emerging pervasive environments
Chatschik Bisdikian, Christopher Gibson, Supriyo Chakraborty, Mani B. Srivastava, Murat Sensoy, Timothy J. Norman
Pervasive and Mobile Computing, 2014

Towards a rich sensing stack for IoT devices
Chenguang Shen, Haksoo Choi, Supriyo Chakraborty, Mani B Srivastava
IEEE/ACM International Conference on Computer-Aided Design (Special Session on CAD for the Internet of Things), 2014

Multitiered inference management architecture for participatory sensing
Stephen Pipes, Supriyo Chakraborty
IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), 2014

ipShield: a framework for enforcing context-aware privacy
Supriyo Chakraborty, Chenguang Shen, Kasturi Raghavan, Matt Millar, Mani Srivastava
USENIX NSDI, 2014


2013

Protecting data against unwanted inferences
Supriyo Chakraborty, Nicolas Bitouze, Mani Srivastava, Lara Dolecek
IEEE Information Theory Workshop, 2013

A framework for context-aware privacy of sensor data on mobile systems
Supriyo Chakraborty, Kasturi Raghavan, Matthew Johnson, Mani Srivastava
ACM HotMobile, 2013

Exploiting processor heterogeneity for energy efficient context inference on mobile phones
Chenguang Shen, Supriyo Chakraborty, Kasturi Rangan Raghavan, Haksoo Choi, Mani B Srivastava
ACM HotPower, 2013

Reasoning under uncertainty: variations of subjective logic deduction
Lance Kaplan, Murat Sensoy, Yuqing Tang, Supriyo Chakraborty, Chatschik Bisdikian, Geeth de Mel
International Conference on Information Fusion (IEEE Fusion), 2013


2012

Balancing behavioral privacy and information utility in sensory data flows
Supriyo Chakraborty, Zainul Charbiwala, Haksoo Choi, Kasturi Rangan Raghavan, Mani B. Srivastava
Pervasive and Mobile Computing, 2012

Model-based context privacy for personal data streams
Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B Srivastava, Harris Teague
Proceedings of the 2012 ACM Conference on Computer and Communications Security

Balancing value and risk in information sharing through obfuscation
Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani Srivastava, Chatschik Bisdikian, Lance Kaplan
International Conference on Information Fusion (IEEE FUSION), 2012

An obfuscation framework for controlling value of information during sharing
Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani Srivastava, Chatschik Bisdikian, Lance Kaplan
IEEE Statistical Signal Processing, 2012

Design and evaluation of SensorSafe: a framework for achieving behavioral privacy in sharing personal sensory information
Haksoo Choi, Supriyo Chakraborty, Mani Srivastava,
International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom), 2012

Override: a mobile privacy framework for context-driven perturbation and synthesis of sensor data streams
Kasturi Rangan Raghavan, Supriyo Chakraborty, Mani B Srivastava, Harris Teague
Proceedings of the Third International Workshop on Sensing Applications on Mobile Phones, ACM PhoneSense, 2012

Subjective logic with uncertain partial observations
Lance Kaplan, Supriyo Chakraborty, Chatschik Bisdikian
International Conference on Information Fusion (IEEE FUSION), 2012

Fusion of classifiers: a subjective logic perspective
Lance Kaplan, Supriyo Chakraborty, Chatschik Bisdikian,
IEEE Aerospace Conference, 2012


2011

Estimating network link characteristics using packet-pair dispersion: A discrete-time queueing theoretic analysis
Bikash Kumar Dey, D. Manjunath, Supriyo Chakraborty
Computer Networks, 2011

Demystifying privacy in sensory data: a QoI based approach
Supriyo Chakraborty, Haksoo Choi, Mani Srivastava
IEEE Information Quality and Quality of Service (IQ2S), 2011

SensorSafe: a Framework for Privacy-Preserving Management of Personal Sensory Information
Haksoo Choi, Supriyo Chakraborty, Zainul Charbiwala, Mani Srivastava
VLDB Workshop on Secure Data Management, 2011

Distributed coordination for fast iterative optimization in wireless sensor/actuator networks
Rahul Balani, Nabil Chehade, Supriyo Chakraborty, Mani Srivastava
Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), 2011

Neighborhood based fast graph search in large networks
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao
Proceedings of the 2011 ACM SIGMOD International Conference on Management of Data


2010

Compressive oversampling for robust data transmission in sensor networks
Zainul Charbiwala, Supriyo Chakraborty, Sadaf Zahedi, Younghun Kim, Mani Srivastava, Ting He and Chatschik Bisdikian
IEEE INFOCOM, 2010


2005

Non cooperative path characterization using packet spacing techniques
Supriyo Chakraborty, Bikramjit Walia, and D. Manjunath
Workshop on High Performance Switching and Routing, 2005