Supriyo Chakraborty

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 54

Top Venues

CoRR

SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI

IEEE BigData

Comput. Biol. Chem.

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam, Nimrod Lilith, Supriyo Chakraborty, Mir Feroskhan
AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer. CoRR (2024)
Supriyo Chakraborty
On Distributed Training of Foundation Models: Challenges and Observations. IPDPS Workshops (2023)
Cai Davies, Marc Roig Vilamala, Alun D. Preece, Federico Cerutti, Lance M. Kaplan, Supriyo Chakraborty
Knowledge from Uncertainty in Evidential Deep Learning. CoRR (2023)
Pengrui Quan, Supriyo Chakraborty, Jeya Vikranth Jeyakumar, Mani B. Srivastava
On the amplification of security and privacy risks by post-hoc explanations in machine learning models. CoRR (2022)
Supriyo Chakraborty, Aurobinda Routray, Ritesh Chandra Tewari
Identification of Thin Layer Via Source Wave-Field Dictionary Learning. IECON (2022)
Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. AISTATS (2022)
Shengzhong Liu, Franck Le, Supriyo Chakraborty, Tarek F. Abdelzaher
On Exploring Attention-based Explanation for Transformer Models in Text Classification. IEEE BigData (2021)
Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing. AISec@CCS (2021)
Devansh Shah, Parijat Dube, Supriyo Chakraborty, Ashish Verma
Adversarial training in communication constrained federated learning. CoRR (2021)
Nazir Saleheen, Md. Azim Ullah, Supriyo Chakraborty, Deniz S. Ones, Mani B. Srivastava, Santosh Kumar
WristPrint: Characterizing User Re-identification Risks from Wrist-worn Accelerometry Data. CCS (2021)
Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. CoRR (2021)
Supriyo Chakraborty, Durbba Nath, Parvin A. Barbhuiya, Yashmin Choudhury, Arif Uddin
Silencing lung cancer genes using miRNAs identified by 7mer-seed matching. Comput. Biol. Chem. 92 (2021)
Heiko Ludwig, Nathalie Baracaldo, Gegi Thomas, Yi Zhou, Ali Anwar, Shashank Rajamoni, Yuya Jeremy Ong, Jayaram Radhakrishnan, Ashish Verma, Mathieu Sinn, Mark Purcell, Ambrish Rawat, Tran Ngoc Minh, Naoise Holohan, Supriyo Chakraborty, Shalisha Witherspoon, Dean Steuer, Laura Wynter, Hifaz Hassan, Sean Laguna, Mikhail Yurochkin, Mayank Agarwal, Ebube Chuba, Annie Abay
IBM Federated Learning: an Enterprise Framework White Paper V0.1. CoRR (2020)
Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece
Sanity Checks for Saliency Metrics. AAAI (2020)
Liam Hiley, Alun D. Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett
Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models. CoRR (2020)
Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner
Improving Adversarial Robustness Through Progressive Hardening. CoRR (2020)
Richard Tomsett, Alun D. Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani B. Srivastava, Gavin Pearson, Lance M. Kaplan
Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI. Patterns 1 (4) (2020)
Supriyo Chakraborty, Aurobinda Routray
Multi-trace Inversion with Selective Wedge to Increase Thin Layer Resolution in Horizontal Layer. ICCCNT (2020)
Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece
Sanity Checks for Saliency Metrics. CoRR (2019)
Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo
Analyzing Federated Learning through an Adversarial Lens. ICML (2019)
Supriyo Chakraborty, Parvin A. Barbhuiya, Gulshana A. Mazumder, Bornali Deb, Arif Uddin
gene. Comput. Biol. Chem. 83 (2019)
Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R. Varshney, Skyler Speakman, Zairah Mustahsan, Supriyo Chakraborty
Fair Transfer Learning with Missing Protected Attributes. AIES (2019)
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava
GenAttack: practical black-box attacks with gradient-free optimization. GECCO (2019)
Changchang Liu, Supriyo Chakraborty, Dinesh C. Verma
Secure Model Fusion for Distributed Learning Using Partial Homomorphic Encryption. PADG@ESORICS (2018)
Tianwei Xing, Sandeep Singh Sandha, Bharathan Balaji, Supriyo Chakraborty, Mani B. Srivastava
Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition. EdgeSys@MobiSys (2018)
Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Mani B. Srivastava
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization. CoRR (2018)
Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo
Analyzing Federated Learning through an Adversarial Lens. CoRR (2018)
Matthew P. Johnson, Liang Zhao, Supriyo Chakraborty
Achieving Pareto-Optimal MI-Based Privacy-Utility Tradeoffs Under Full Data. IEEE J. Sel. Top. Signal Process. 12 (5) (2018)
Richard Tomsett, Dave Braines, Dan Harborne, Alun D. Preece, Supriyo Chakraborty
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems. CoRR (2018)
Seraphin B. Calo, Dinesh C. Verma, Supriyo Chakraborty, Elisa Bertino, Emil Lupu, Gregory H. Cirincione
Self-Generation of Access Control Policies. SACMAT (2018)
Yeon-sup Lim, Mudhakar Srivatsa, Supriyo Chakraborty, Ian J. Taylor
Learning Light-Weight Edge-Deployable Privacy Models. IEEE BigData (2018)
Federico Cerutti, Moustafa Alzantot, Tianwei Xing, Daniel Harborne, Jonathan Z. Bakdash, Dave Braines, Supriyo Chakraborty, Lance M. Kaplan, Angelika Kimmig, Alun D. Preece, Ramya Raghavendra, Murat Sensoy, Mani B. Srivastava
Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. FUSION (2018)
Richard Tomsett, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer M. Rao, Mani B. Srivastava
Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning. FUSION (2018)
Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty
Stakeholders in Explainable AI. CoRR (2018)
Alun D. Preece, Federico Cerutti, Dave Braines, Supriyo Chakraborty, Mani B. Srivastava
Cognitive computing for coalition situational understanding. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Amr Al-Anwar, Yasser Shoukry, Supriyo Chakraborty, Bharathan Balaji, Paul Martin, Paulo Tabuada, Mani B. Srivastava
PrOLoc: resilient localization with private observers using partial homomorphic encryption: demo abstract. IPSN (2017)
Supriyo Chakraborty, Alun D. Preece, Moustafa Alzantot, Tianwei Xing, Dave Braines, Mani B. Srivastava
Deep learning for situational understanding. FUSION (2017)
Monisha Nath Choudhury, Arif Uddin, Supriyo Chakraborty
Codon usage bias and its influencing factors for Y-linked genes in human. Comput. Biol. Chem. 69 (2017)
Shashank Jain, Vivek Tiwari, Aruna Balasubramanian, Niranjan Balasubramanian, Supriyo Chakraborty
PrIA: A Private Intelligent Assistant. HotMobile (2017)
Dinesh C. Verma, Seraphin B. Calo, Supriyo Chakraborty, Elisa Bertino, Christopher Williams, J. Tucker, Brian Rivera
Generative policy model for autonomic management. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Changchang Liu, Supriyo Chakraborty, Prateek Mittal
DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications. CoRR (2017)
Moustafa Alzantot, Supriyo Chakraborty, Mani B. Srivastava
SenseGen: A deep learning architecture for synthetic sensor data generation. PerCom Workshops (2017)
Moustafa Alzantot, Supriyo Chakraborty, Mani B. Srivastava
SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation. CoRR (2017)
Alistair Notile, Daniel Harborne, Dave Braines, Moustafa Alzantot, Santiago Quintana-Amate, Richard Tomsett, Lance M. Kaplan, Mani B. Srivastava, Supriyo Chakraborty, Alun D. Preece
Distributed opportunistic sensing and fusion for traffic congestion detection. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Amr Al-Anwar, Yasser Shoukry, Supriyo Chakraborty, Paul Martin, Paulo Tabuada, Mani B. Srivastava
PrOLoc: resilient localization with private observers using partial homomorphic encryption. IPSN (2017)
Supriyo Chakraborty, Wentao Robin Ouyang, Mani B. Srivastava
LightSpy: Optical eavesdropping on displays using light sensors on mobile devices. IEEE BigData (2017)
Supriyo Chakraborty, Richard Tomsett, Ramya Raghavendra, Daniel Harborne, Moustafa Alzantot, Federico Cerutti, Mani B. Srivastava, Alun D. Preece, Simon Julier, Raghuveer M. Rao, Troy D. Kelley, Dave Braines, Murat Sensoy, Christopher J. Willis, Prudhvi Gurram
Interpretability of deep learning models: A survey of results. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2017)
Matthew P. Johnson, Liang Zhao, Supriyo Chakraborty
Computing messages that reveal selected inferences while protecting others. ITW (2017)
Supriyo Chakraborty, Omer Tripp
Eavesdropping and obfuscation techniques for smartphones. MOBILESoft (2016)
Changchang Liu, Supriyo Chakraborty, Prateek Mittal
Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples. NDSS (2016)
Nazir Saleheen, Supriyo Chakraborty, Nasir Ali, Md. Mahbubur Rahman, Syed Monowar Hossain, Rummana Bari, Eugene H. Buder, Mani B. Srivastava, Santosh Kumar
mSieve: differential behavioral privacy in time series of mobile sensor data. UbiComp (2016)
Lance M. Kaplan, Murat Sensoy, Supriyo Chakraborty, Geeth de Mel
Partial observable update for subjective logic and its application for trust estimation. Inf. Fusion 26 (2015)
Jorge Ortiz, Chien-Chin Huang, Supriyo Chakraborty
Get More With Less: Near Real-Time Image Clustering on Mobile Phones. CoRR (2015)
Takamasa Higuchi, Paul Martin, Supriyo Chakraborty, Mani B. Srivastava
AnonyCast: privacy-preserving location distribution for anonymous crowd tracking systems. UbiComp (2015)
Chatschik Bisdikian, Christopher Gibson, Supriyo Chakraborty, Mani B. Srivastava, Murat Sensoy, Timothy J. Norman
Inference management, trust and obfuscation principles for quality of information in emerging pervasive environments. Pervasive Mob. Comput. 11 (2014)
Stephen Pipes, Supriyo Chakraborty
Multitiered inference management architecture for participatory sensing. PerCom Workshops (2014)
Chenguang Shen, Haksoo Choi, Supriyo Chakraborty, Mani B. Srivastava
Towards a rich sensing stack for IoT devices. ICCAD (2014)
Supriyo Chakraborty, Chenguang Shen, Kasturi Rangan Raghavan, Yasser Shoukry, Matt Millar, Mani B. Srivastava
ipShield: A Framework For Enforcing Context-Aware Privacy. NSDI (2014)
Supriyo Chakraborty, Kasturi Rangan Raghavan, Matthew P. Johnson, Mani B. Srivastava
A framework for context-aware privacy of sensor data on mobile systems. HotMobile (2013)
Supriyo Chakraborty, Nicolas Bitouze, Mani B. Srivastava, Lara Dolecek
Protecting data against unwanted inferences. ITW (2013)
Lance M. Kaplan, Murat Sensoy, Yuqing Tang, Supriyo Chakraborty, Chatschik Bisdikian, Geeth de Mel
Reasoning under uncertainty: Variations of subjective logic deduction. FUSION (2013)
Chenguang Shen, Supriyo Chakraborty, Kasturi Rangan Raghavan, Haksoo Choi, Mani B. Srivastava
Exploiting processor heterogeneity for energy efficient context inference on mobile phones. HotPower@SOSP (2013)
Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan
An obfuscation framework for controlling value of information during sharing. SSP (2012)
Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Harris Teague
Model-based context privacy for personal data streams. CCS (2012)
Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan
Balancing value and risk in information sharing through obfuscation. FUSION (2012)
Lance M. Kaplan, Supriyo Chakraborty, Chatschik Bisdikian
Subjective logic with uncertain partial observations. FUSION (2012)
Haksoo Choi, Supriyo Chakraborty, Mani B. Srivastava
Design and Evaluation of SensorSafe: A Framework for Achieving Behavioral Privacy in Sharing Personal Sensory Information. TrustCom (2012)
Supriyo Chakraborty, Zainul Charbiwala, Haksoo Choi, Kasturi Rangan Raghavan, Mani B. Srivastava
Balancing behavioral privacy and information utility in sensory data flows. Pervasive Mob. Comput. 8 (3) (2012)
Bikash Kumar Dey, D. Manjunath, Supriyo Chakraborty
Estimating network link characteristics using packet-pair dispersion: A discrete-time queueing theoretic analysis. Comput. Networks 55 (5) (2011)
Haksoo Choi, Supriyo Chakraborty, Zainul Charbiwala, Mani B. Srivastava
SensorSafe: A Framework for Privacy-Preserving Management of Personal Sensory Information. Secure Data Management (2011)
Supriyo Chakraborty, Haksoo Choi, Mani B. Srivastava
Demystifying privacy in sensory data: A QoI based approach. PerCom Workshops (2011)
Rahul Balani, Mohamed Nabil Hajj Chehade, Supriyo Chakraborty, Mani B. Srivastava
Distributed coordination for fast iterative optimization in wireless sensor/actuator networks. SECON (2011)
Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao
Neighborhood based fast graph search in large networks. SIGMOD Conference (2011)
Zainul Charbiwala, Supriyo Chakraborty, Sadaf Zahedi, Younghun Kim, Ting He, Chatschik Bisdikian, Mani B. Srivastava
Compressive Oversampling for Robust Data Transmission in Sensor Networks. INFOCOM (2010)
Bikash Kumar Dey, D. Manjunath, Supriyo Chakraborty
Estimating Network Link Characteristics using Packet-Pair Dispersion: A Discrete Time Queueing Theoretic View CoRR (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Supriyo Chakraborty