Supriyo Chakraborty

According to our database, Supriyo Chakraborty authored at least 76 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

MYCROFT: Towards Effective and Efficient External Data Augmentation.

Zain Sarwar, Van Tran, Arjun Nitin Bhagoji, Nick Feamster, Ben Y. Zhao, Supriyo Chakraborty

CoRR, 2024

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models.

Akshaj Kumar Veldanda, Shi-Xiong Zhang, Anirban Das, Supriyo Chakraborty, Stephen Rawls, Sambit Sahu, Milind R. Naphade

CoRR, 2024

AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer.

Tanmoy Dam, Sanjay Bhargav Dharavath, Sameer Alam, Nimrod Lilith, Supriyo Chakraborty, Mir Feroskhan

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

DNS Exfiltration Guided by Generative Adversarial Networks.

Abdulrahman Fahim, Shitong Zhu, Zhiyun Qian, Chengyu Song, Evangelos E. Papalexakis, Supriyo Chakraborty, Kevin S. Chan, Paul L. Yu, Trent Jaeger, Srikanth V. Krishnamurthy

Proceedings of the 9th IEEE European Symposium on Security and Privacy, 2024

Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs.

Sanjay Bhargav Dharavath, Tanmoy Dam, Supriyo Chakraborty, Prithwiraj Roy, Aniruddha Maiti

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Knowledge from Uncertainty in Evidential Deep Learning.

Cai Davies, Marc Roig Vilamala, Alun D. Preece, Federico Cerutti, Lance M. Kaplan, Supriyo Chakraborty

CoRR, 2023

On Distributed Training of Foundation Models: Challenges and Observations.

Supriyo Chakraborty

Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023

2022

On the amplification of security and privacy risks by post-hoc explanations in machine learning models.

Pengrui Quan, Supriyo Chakraborty, Jeya Vikranth Jeyakumar, Mani B. Srivastava

CoRR, 2022

Identification of Thin Layer Via Source Wave-Field Dictionary Learning.

Supriyo Chakraborty, Aurobinda Routray, Ritesh Chandra Tewari

Proceedings of the IECON 2022, 2022

SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification.

Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Adversarial training in communication constrained federated learning.

Devansh Shah, Parijat Dube, Supriyo Chakraborty, Ashish Verma

CoRR, 2021

Silencing lung cancer genes using miRNAs identified by 7mer-seed matching.

Supriyo Chakraborty, Durbba Nath, Parvin A. Barbhuiya, Yashmin Choudhury, Arif Uddin

Comput. Biol. Chem., 2021

SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing.

Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner

Proceedings of the AISec@CCS 2021: Proceedings of the 14th ACM Workshop on Artificial Intelligence and Security, 2021

WristPrint: Characterizing User Re-identification Risks from Wrist-worn Accelerometry Data.

Nazir Saleheen, Md. Azim Ullah, Supriyo Chakraborty, Deniz S. Ones, Mani B. Srivastava, Santosh Kumar

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

On Exploring Attention-based Explanation for Transformer Models in Text Classification.

Shengzhong Liu, Franck Le, Supriyo Chakraborty, Tarek F. Abdelzaher

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI.

Richard Tomsett, Alun D. Preece, Dave Braines, Federico Cerutti, Supriyo Chakraborty, Mani B. Srivastava, Gavin Pearson, Lance M. Kaplan

Patterns, 2020

IBM Federated Learning: an Enterprise Framework White Paper V0.1.

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

CoRR, 2020

Explaining Motion Relevance for Activity Recognition in Video Deep Learning Models.

Liam Hiley, Alun D. Preece, Yulia Hicks, Supriyo Chakraborty, Prudhvi Gurram, Richard Tomsett

CoRR, 2020

Improving Adversarial Robustness Through Progressive Hardening.

Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner

CoRR, 2020

Multi-trace Inversion with Selective Wedge to Increase Thin Layer Resolution in Horizontal Layer.

Supriyo Chakraborty, Aurobinda Routray

Proceedings of the 11th International Conference on Computing, 2020

Sanity Checks for Saliency Metrics.

Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Compositional features and codon usage pattern of <i>TP63</i> gene.

Supriyo Chakraborty, Parvin A. Barbhuiya, Gulshana A. Mazumder, Bornali Deb, Arif Uddin

Comput. Biol. Chem., 2019

Analyzing Federated Learning through an Adversarial Lens.

Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo

Proceedings of the 36th International Conference on Machine Learning, 2019

GenAttack: practical black-box attacks with gradient-free optimization.

Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Huan Zhang, Cho-Jui Hsieh, Mani B. Srivastava

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Fair Transfer Learning with Missing Protected Attributes.

Amanda Coston, Karthikeyan Natesan Ramamurthy, Dennis Wei, Kush R. Varshney, Skyler Speakman, Zairah Mustahsan, Supriyo Chakraborty

Proceedings of the 2019 AAAI/ACM Conference on AI, Ethics, and Society, 2019

2018

Achieving Pareto-Optimal MI-Based Privacy-Utility Tradeoffs Under Full Data.

Matthew P. Johnson, Liang Zhao, Supriyo Chakraborty

IEEE J. Sel. Top. Signal Process., 2018

Stakeholders in Explainable AI.

Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty

CoRR, 2018

Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems.

Richard Tomsett, Dave Braines, Dan Harborne, Alun D. Preece, Supriyo Chakraborty

CoRR, 2018

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization.

Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Mani B. Srivastava

CoRR, 2018

Self-Generation of Access Control Policies.

Seraphin B. Calo, Dinesh C. Verma, Supriyo Chakraborty, Elisa Bertino, Emil Lupu, Gregory H. Cirincione

Proceedings of the 23nd ACM on Symposium on Access Control Models and Technologies, 2018

Enabling Edge Devices that Learn from Each Other: Cross Modal Training for Activity Recognition.

Tianwei Xing, Sandeep Singh Sandha, Bharathan Balaji, Supriyo Chakraborty, Mani B. Srivastava

Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking, 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 M. Rao, Mani B. Srivastava

Proceedings of the 21st International Conference on Information Fusion, 2018

Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis.

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

Proceedings of the 21st International Conference on Information Fusion, 2018

Secure Model Fusion for Distributed Learning Using Partial Homomorphic Encryption.

Changchang Liu, Supriyo Chakraborty, Dinesh C. Verma

Proceedings of the Policy-Based Autonomic Data Governance [extended papers from the Second International Workshop on Policy-based Autonomic Data Governance, 2018

Learning Light-Weight Edge-Deployable Privacy Models.

Yeon-Sup Lim, Mudhakar Srivatsa, Supriyo Chakraborty, Ian J. Taylor

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications.

Changchang Liu, Supriyo Chakraborty, Prateek Mittal

CoRR, 2017

Codon usage bias and its influencing factors for Y-linked genes in human.

Monisha Nath Choudhury, Arif Uddin, Supriyo Chakraborty

Comput. Biol. Chem., 2017

PrIA: A Private Intelligent Assistant.

Shashank Jain, Vivek Tiwari, Aruna Balasubramanian, Niranjan Balasubramanian, Supriyo Chakraborty

Proceedings of the 18th International Workshop on Mobile Computing Systems and Applications, 2017

Generative policy model for autonomic management.

Dinesh C. Verma, Seraphin B. Calo, Supriyo Chakraborty, Elisa Bertino, Christopher Williams, J. Tucker, Brian Rivera

Proceedings of the 2017 IEEE SmartWorld, 2017

Cognitive computing for coalition situational understanding.

Alun D. Preece, Federico Cerutti, Dave Braines, Supriyo Chakraborty, Mani B. Srivastava

Proceedings of the 2017 IEEE SmartWorld, 2017

Distributed opportunistic sensing and fusion for traffic congestion detection.

Alistair Nottle, Daniel Harborne, Dave Braines, Moustafa Alzantot, Santiago Quintana-Amate, Richard Tomsett, Lance M. Kaplan, Mani B. Srivastava, Supriyo Chakraborty, Alun D. Preece

Proceedings of the 2017 IEEE SmartWorld, 2017

Interpretability of deep learning models: A survey of results.

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

Proceedings of the 2017 IEEE SmartWorld, 2017

SenseGen: A deep learning architecture for synthetic sensor data generation.

Moustafa Alzantot, Supriyo Chakraborty, Mani B. Srivastava

Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications Workshops, 2017

Computing messages that reveal selected inferences while protecting others.

Matthew P. Johnson, Liang Zhao, Supriyo Chakraborty

Proceedings of the 2017 IEEE Information Theory Workshop, 2017

PrOLoc: resilient localization with private observers using partial homomorphic encryption.

Amr Al-Anwar, Yasser Shoukry, Supriyo Chakraborty, Paul Martin, Paulo Tabuada, Mani B. Srivastava

Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

PrOLoc: resilient localization with private observers using partial homomorphic encryption: demo abstract.

Amr Al-Anwar, Yasser Shoukry, Supriyo Chakraborty, Bharathan Balaji, Paul Martin, Paulo Tabuada, Mani B. Srivastava

Proceedings of the 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2017

Deep learning for situational understanding.

Supriyo Chakraborty, Alun D. Preece, Moustafa Alzantot, Tianwei Xing, Dave Braines, Mani B. Srivastava

Proceedings of the 20th International Conference on Information Fusion, 2017

LightSpy: Optical eavesdropping on displays using light sensors on mobile devices.

Supriyo Chakraborty, Wentao Robin Ouyang, Mani B. Srivastava

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples.

Changchang Liu, Supriyo Chakraborty, Prateek Mittal

Proceedings of the 23rd Annual Network and Distributed System Security Symposium, 2016

Eavesdropping and obfuscation techniques for smartphones.

Supriyo Chakraborty, Omer Tripp

Proceedings of the International Conference on Mobile Software Engineering and Systems, 2016

mSieve: differential behavioral privacy in time series of mobile sensor data.

Nazir Saleheen, Supriyo Chakraborty, Nasir Ali, Md. Mahbubur Rahman, Syed Monowar Hossain, Rummana Bari, Eugene H. Buder, Mani B. Srivastava, Santosh Kumar

Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015

Partial observable update for subjective logic and its application for trust estimation.

Lance M. Kaplan, Murat Sensoy, Supriyo Chakraborty, Geeth de Mel

Inf. Fusion, 2015

Get More With Less: Near Real-Time Image Clustering on Mobile Phones.

Jorge Ortiz, Chien-Chin Huang, Supriyo Chakraborty

CoRR, 2015

AnonyCast: privacy-preserving location distribution for anonymous crowd tracking systems.

Takamasa Higuchi, Paul Martin, Supriyo Chakraborty, Mani B. Srivastava

Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2015

2014

Balancing Behavioral Privacy and Information Utility in Sensory Data Flows.

Supriyo Chakraborty

PhD thesis, 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 Mob. Comput., 2014

Multitiered inference management architecture for participatory sensing.

Stephen Pipes, Supriyo Chakraborty

Proceedings of the 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, 2014

ipShield: A Framework For Enforcing Context-Aware Privacy.

Supriyo Chakraborty, Chenguang Shen, Kasturi Rangan Raghavan, Yasser Shoukry, Matt Millar, Mani B. Srivastava

Proceedings of the 11th USENIX Symposium on Networked Systems Design and Implementation, 2014

Towards a rich sensing stack for IoT devices.

Chenguang Shen, Haksoo Choi, Supriyo Chakraborty, Mani B. Srivastava

Proceedings of the IEEE/ACM International Conference on Computer-Aided Design, 2014

2013

A framework for context-aware privacy of sensor data on mobile systems.

Supriyo Chakraborty, Kasturi Rangan Raghavan, Matthew P. Johnson, Mani B. Srivastava

Proceedings of the 14th Workshop on Mobile Computing Systems and Applications, 2013

Exploiting processor heterogeneity for energy efficient context inference on mobile phones.

Chenguang Shen, Supriyo Chakraborty, Kasturi Rangan Raghavan, Haksoo Choi, Mani B. Srivastava

Proceedings of the Workshop on Power-Aware Computing and Systems, 2013

Protecting data against unwanted inferences.

Supriyo Chakraborty, Nicolas Bitouze, Mani B. Srivastava, Lara Dolecek

Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Reasoning under uncertainty: Variations of subjective logic deduction.

Lance M. Kaplan, Murat Sensoy, Yuqing Tang, Supriyo Chakraborty, Chatschik Bisdikian, Geeth de Mel

Proceedings of the 16th International Conference on Information 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 Mob. Comput., 2012

Design and Evaluation of SensorSafe: A Framework for Achieving Behavioral Privacy in Sharing Personal Sensory Information.

Haksoo Choi, Supriyo Chakraborty, Mani B. Srivastava

Proceedings of the 11th IEEE International Conference on Trust, 2012

An obfuscation framework for controlling value of information during sharing.

Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan

Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Subjective logic with uncertain partial observations.

Lance M. Kaplan, Supriyo Chakraborty, Chatschik Bisdikian

Proceedings of the 15th International Conference on Information Fusion, 2012

Balancing value and risk in information sharing through obfuscation.

Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan

Proceedings of the 15th International Conference on Information Fusion, 2012

Model-based context privacy for personal data streams.

Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Harris Teague

Proceedings of the ACM Conference on Computer and Communications Security, 2012

2011

Estimating network link characteristics using packet-pair dispersion: A discrete-time queueing theoretic analysis.

Bikash Kumar Dey, D. Manjunath, Supriyo Chakraborty

Comput. Networks, 2011

Neighborhood based fast graph search in large networks.

Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2011

Distributed coordination for fast iterative optimization in wireless sensor/actuator networks.

Rahul Balani, Mohamed Nabil Hajj Chehade, Supriyo Chakraborty, Mani B. Srivastava

Proceedings of the 8th Annual IEEE Communications Society Conference on Sensor, 2011

SensorSafe: A Framework for Privacy-Preserving Management of Personal Sensory Information.

Haksoo Choi, Supriyo Chakraborty, Zainul Charbiwala, Mani B. Srivastava

Proceedings of the Secure Data Management - 8th VLDB Workshop, SDM 2011, Seattle, WA, USA, 2011

Demystifying privacy in sensory data: A QoI based approach.

Supriyo Chakraborty, Haksoo Choi, Mani B. Srivastava

Proceedings of the Ninth Annual IEEE International Conference on Pervasive Computing and Communications, 2011

2010

Compressive Oversampling for Robust Data Transmission in Sensor Networks.

Zainul Charbiwala, Supriyo Chakraborty, Sadaf Zahedi, Younghun Kim, Ting He, Chatschik Bisdikian, Mani B. Srivastava

Proceedings of the INFOCOM 2010. 29th IEEE International Conference on Computer Communications, 2010

2009

Estimating Network Link Characteristics using Packet-Pair Dispersion: A Discrete Time Queueing Theoretic View

Bikash Kumar Dey, D. Manjunath, Supriyo Chakraborty

CoRR, 2009