Estimating Network Link Characteristics using Packet-Pair Dispersion: A Discrete Time Queueing Theoretic View - Bikash Kumar Dey; D. Manjunath; Supriyo Chakraborty (CoRR, 2009)

Compressive Oversampling for Robust Data Transmission in Sensor Networks. - Zainul Charbiwala; Supriyo Chakraborty; Sadaf Zahedi; Younghun Kim; Ting He 001; Chatschik Bisdikian; Mani B. Srivastava (INFOCOM, 2010)

Demystifying privacy in sensory data: A QoI based approach. - Supriyo Chakraborty; Haksoo Choi; Mani B. Srivastava (PerCom Workshops, 2011)

SensorSafe: A Framework for Privacy-Preserving Management of Personal Sensory Information. - Haksoo Choi; Supriyo Chakraborty; Zainul Charbiwala; Mani B. Srivastava (Secure Data Management, 2011)

Distributed coordination for fast iterative optimization in wireless sensor/actuator networks. - Rahul Balani; Mohamed Nabil Hajj Chehade; Supriyo Chakraborty; Mani B. Srivastava (SECON, 2011)

Neighborhood based fast graph search in large networks. - Arijit Khan 001; Nan Li; Xifeng Yan; Ziyu Guan; Supriyo Chakraborty; Shu Tao (SIGMOD Conference, 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)

Model-based context privacy for personal data streams. - Supriyo Chakraborty; Kasturi Rangan Raghavan; Mani B. Srivastava; Harris Teague (CCS, 2012)

Balancing value and risk in information sharing through obfuscation. - Supriyo Chakraborty; Kasturi Rangan Raghavan; Mani B. Srivastava; Chatschik Bisdikian; Lance M. Kaplan (FUSION, 2012)

Subjective logic with uncertain partial observations. - Lance M. Kaplan; Supriyo Chakraborty; Chatschik Bisdikian (FUSION, 2012)

An obfuscation framework for controlling value of information during sharing. - Supriyo Chakraborty; Kasturi Rangan Raghavan; Mani B. Srivastava; Chatschik Bisdikian; Lance M. Kaplan (SSP, 2012)

Design and Evaluation of SensorSafe: A Framework for Achieving Behavioral Privacy in Sharing Personal Sensory Information. - Haksoo Choi; Supriyo Chakraborty; Mani B. Srivastava (TrustCom, 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)

Reasoning under uncertainty: Variations of subjective logic deduction. - Lance M. Kaplan; Murat Sensoy; Yuqing Tang; Supriyo Chakraborty; Chatschik Bisdikian; Geeth de Mel (FUSION, 2013)

Protecting data against unwanted inferences. - Supriyo Chakraborty; Nicolas Bitouze; Mani B. Srivastava; Lara Dolecek (ITW, 2013)

Exploiting processor heterogeneity for energy efficient context inference on mobile phones. - Chenguang Shen; Supriyo Chakraborty; Kasturi Rangan Raghavan; Haksoo Choi; Mani B. Srivastava (HotPower@SOSP, 2013)

A framework for context-aware privacy of sensor data on mobile systems. - Supriyo Chakraborty; Kasturi Rangan Raghavan; Matthew P. Johnson 001; Mani B. Srivastava (HotMobile, 2013)

Towards a rich sensing stack for IoT devices. - Chenguang Shen; Haksoo Choi; Supriyo Chakraborty; Mani B. Srivastava (ICCAD, 2014)

ipShield: A Framework For Enforcing Context-Aware Privacy. - Supriyo Chakraborty; Chenguang Shen; Kasturi Rangan Raghavan; Yasser Shoukry; Matt Millar; Mani B. Srivastava (NSDI, 2014)

Multitiered inference management architecture for participatory sensing. - Stephen Pipes; Supriyo Chakraborty (PerCom Workshops, 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)

Balancing Behavioral Privacy and Information Utility in Sensory Data Flows. - Supriyo Chakraborty (2014)

AnonyCast: privacy-preserving location distribution for anonymous crowd tracking systems. - Takamasa Higuchi; Paul Martin 008; Supriyo Chakraborty; Mani B. Srivastava (UbiComp, 2015)

Get More With Less: Near Real-Time Image Clustering on Mobile Phones. - Jorge Ortiz 001; Chien-Chin Huang; Supriyo Chakraborty (CoRR, 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)

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 001 (UbiComp, 2016)

Eavesdropping and obfuscation techniques for smartphones. - Supriyo Chakraborty; Omer Tripp (MOBILESoft, 2016)

Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples. - Changchang Liu; Supriyo Chakraborty; Prateek Mittal (NDSS, 2016)

LightSpy: Optical eavesdropping on displays using light sensors on mobile devices. - Supriyo Chakraborty; Wentao Robin Ouyang; Mani B. Srivastava (IEEE BigData, 2017)

Deep learning for situational understanding. - Supriyo Chakraborty; Alun D. Preece; Moustafa Alzantot; Tianwei Xing; Dave Braines; Mani B. Srivastava (FUSION, 2017)

PrOLoc: resilient localization with private observers using partial homomorphic encryption: demo abstract. - Amr Al-Anwar 001; Yasser Shoukry; Supriyo Chakraborty; Bharathan Balaji; Paul Martin 008; Paulo Tabuada; Mani B. Srivastava (IPSN, 2017)

PrOLoc: resilient localization with private observers using partial homomorphic encryption. - Amr Al-Anwar 001; Yasser Shoukry; Supriyo Chakraborty; Paul Martin 008; Paulo Tabuada; Mani B. Srivastava (IPSN, 2017)

Computing messages that reveal selected inferences while protecting others. - Matthew P. Johnson 001; Liang Zhao; Supriyo Chakraborty (ITW, 2017)

SenseGen: A deep learning architecture for synthetic sensor data generation. - Moustafa Alzantot; Supriyo Chakraborty; Mani B. Srivastava (PerCom Workshops, 2017)

Interpretability of deep learning models: A survey of results. - Supriyo Chakraborty; Richard Tomsett; Ramya Raghavendra; Daniel Harborne; Moustafa Alzantot; Federico Cerutti 001; Mani B. Srivastava; Alun D. Preece; Simon Julier; Raghuveer M. Rao; Troy D. Kelley; Dave Braines; et al. (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 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 (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Cognitive computing for coalition situational understanding. - Alun D. Preece; Federico Cerutti 001; Dave Braines; Supriyo Chakraborty; Mani B. Srivastava (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Generative policy model for autonomic management. - Dinesh C. Verma; Seraphin B. Calo; Supriyo Chakraborty; Elisa Bertino; Christopher Williams 001; J. Tucker; Brian Rivera (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

PrIA: A Private Intelligent Assistant. - Shashank Jain; Vivek Tiwari; Aruna Balasubramanian; Niranjan Balasubramanian; Supriyo Chakraborty (HotMobile, 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)

DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications. - Changchang Liu; Supriyo Chakraborty; Prateek Mittal (CoRR, 2017)

Learning Light-Weight Edge-Deployable Privacy Models. - Yeon-Sup Lim; Mudhakar Srivatsa; Supriyo Chakraborty; Ian J. Taylor (IEEE BigData, 2018)

Secure Model Fusion for Distributed Learning Using Partial Homomorphic Encryption. - Changchang Liu; Supriyo Chakraborty; Dinesh C. Verma (PADG@ESORICS, 2018)

Learning and Reasoning in Complex Coalition Information Environments: A Critical Analysis. - Federico Cerutti 001; 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; et al. (FUSION, 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 (FUSION, 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 (EdgeSys@MobiSys, 2018)

Self-Generation of Access Control Policies. - Seraphin B. Calo; Dinesh C. Verma; Supriyo Chakraborty; Elisa Bertino; Emil Lupu; Gregory H. Cirincione (SACMAT, 2018)

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization. - Moustafa Alzantot; Yash Sharma 001; Supriyo Chakraborty; Mani B. Srivastava (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)

Stakeholders in Explainable AI. - Alun D. Preece; Dan Harborne; Dave Braines; Richard Tomsett; Supriyo Chakraborty (CoRR, 2018)

Achieving Pareto-Optimal MI-Based Privacy-Utility Tradeoffs Under Full Data. - Matthew P. Johnson 001; Liang Zhao; Supriyo Chakraborty (IEEE J. Sel. Top. Signal Process., 2018)

Fair Transfer Learning with Missing Protected Attributes. - Amanda Coston; Karthikeyan Natesan Ramamurthy; Dennis Wei; Kush R. Varshney; Skyler Speakman; Zairah Mustahsan; Supriyo Chakraborty (AIES, 2019)

GenAttack: practical black-box attacks with gradient-free optimization. - Moustafa Alzantot; Yash Sharma 001; Supriyo Chakraborty; Huan Zhang 001; Cho-Jui Hsieh; Mani B. Srivastava (GECCO, 2019)

Analyzing Federated Learning through an Adversarial Lens. - Arjun Nitin Bhagoji; Supriyo Chakraborty; Prateek Mittal; Seraphin B. Calo (ICML, 2019)

Compositional features and codon usage pattern of TP63 gene. - Supriyo Chakraborty; Parvin A. Barbhuiya; Gulshana A. Mazumder; Bornali Deb; Arif Uddin (Comput. Biol. Chem., 2019)

Sanity Checks for Saliency Metrics. - Richard Tomsett; Dan Harborne; Supriyo Chakraborty; Prudhvi Gurram; Alun D. Preece (AAAI, 2020)

Multi-trace Inversion with Selective Wedge to Increase Thin Layer Resolution in Horizontal Layer. - Supriyo Chakraborty; Aurobinda Routray (ICCCNT, 2020)

Improving Adversarial Robustness Through Progressive Hardening. - Chawin Sitawarin; Supriyo Chakraborty; David A. Wagner 001 (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)

IBM Federated Learning: an Enterprise Framework White Paper V0.1. - Heiko Ludwig; Nathalie Baracaldo; Gegi Thomas; Yi Zhou 015; Ali Anwar 001; Shashank Rajamoni; Yuya Jeremy Ong; Jayaram Radhakrishnan; Ashish Verma 001; Mathieu Sinn; Mark Purcell; Ambrish Rawat; et al. (CoRR, 2020)

Rapid Trust Calibration through Interpretable and Uncertainty-Aware AI. - Richard Tomsett; Alun D. Preece; Dave Braines; Federico Cerutti 001; Supriyo Chakraborty; Mani B. Srivastava; Gavin Pearson; Lance M. Kaplan (Patterns, 2020)

On Exploring Attention-based Explanation for Transformer Models in Text Classification. - Shengzhong Liu; Franck Le; Supriyo Chakraborty; Tarek F. Abdelzaher (IEEE BigData, 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 001 (CCS, 2021)

SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing. - Chawin Sitawarin; Supriyo Chakraborty; David A. Wagner 001 (AISec@CCS, 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)

Adversarial training in communication constrained federated learning. - Devansh Shah; Parijat Dube; Supriyo Chakraborty; Ashish Verma 001 (CoRR, 2021)

SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. - Ashwinee Panda; Saeed Mahloujifar; Arjun Nitin Bhagoji; Supriyo Chakraborty; Prateek Mittal (AISTATS, 2022)

Identification of Thin Layer Via Source Wave-Field Dictionary Learning. - Supriyo Chakraborty; Aurobinda Routray; Ritesh Chandra Tewari (IECON, 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)

On Distributed Training of Foundation Models: Challenges and Observations. - Supriyo Chakraborty (IPDPS Workshops, 2023)

Knowledge from Uncertainty in Evidential Deep Learning. - Cai Davies; Marc Roig Vilamala; Alun D. Preece; Federico Cerutti 001; Lance M. Kaplan; Supriyo Chakraborty (CoRR, 2023)

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 (CIKM, 2024)

Dense Backpropagation Improves Routing for Sparsely-Gated Mixture-of-Experts. - Ashwinee Panda; Vatsal Baherwani; Zain Sarwar; Benjamin Thérien; Sambit Sahu; Stephen Rawls; Supriyo Chakraborty; Tom Goldstein (ENLSP, 2024)

StructMoE: Structured Mixture of Experts Using Low Rank Experts. - Zain Sarwar; Ashwinee Panda; Benjamin Thérien; Stephen Rawls; Anirban Das; Kartik Balasubramaniam; Berkcan Kapusuzoglu; Shixiong Zhang; Sambit Sahu; Milind Naphade; Supriyo Chakraborty (ENLSP, 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 (EuroS&P, 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 (ICRA, 2024)

LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models. - Akshaj Kumar Veldanda; Shi-Xiong Zhang 001; Anirban Das; Supriyo Chakraborty; Stephen Rawls; Sambit Sahu; Milind R. Naphade (CoRR, 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)

Training Dynamics Underlying Language Model Scaling Laws: Loss Deceleration and Zero-Sum Learning. - Andrei Mircea; Supriyo Chakraborty; Nima Chitsazan; Irina Rish; Ekaterina Lobacheva (ACL (1), 2025)

SaViD: Spectravista Aesthetic Vision Integration for Robust and Discerning 3D Object Detection in Challenging Environments. - Tanmoy Dam; Sanjay Bhargav Dharavath; Sameer Alam; Nimrod Lilith; Aniruddha Maiti; Supriyo Chakraborty; Mir Feroskhan (ICRA, 2025)

Dense Backpropagation Improves Training for Sparse Mixture-of-Experts. - Ashwinee Panda; Vatsal Baherwani; Zain Sarwar; Benjamin Thérien; Supriyo Chakraborty; Tom Goldstein (CoRR, 2025)

Critique-Guided Distillation: Improving Supervised Fine-tuning via Better Distillation. - Berkcan Kapusuzoglu; Supriyo Chakraborty; Chia-Hsuan Lee 004; Sambit Sahu (CoRR, 2025)

On Understanding of the Dynamics of Model Capacity in Continual Learning. - Supriyo Chakraborty; Krishnan Raghavan (CoRR, 2025)

Influence Functions for Efficient Data Selection in Reasoning. - Prateek Humane; Paolo Cudrano; Daniel Z. Kaplan; Matteo Matteucci; Supriyo Chakraborty; Irina Rish (CoRR, 2025)