default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSupriyo Chakraborty
Person information
SPARQL queries 
🛈 Please note that only 72% of the records listed on this page have a DOI. Therefore, DOI-based queries can only provide partial results.
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c51]Abdulrahman Fahim, Shitong Zhu, Zhiyun Qian, Chengyu Song, Evangelos E. Papalexakis, Supriyo Chakraborty, Kevin S. Chan, Paul L. Yu, Trent Jaeger, Srikanth V. Krishnamurthy:
DNS Exfiltration Guided by Generative Adversarial Networks. EuroS&P 2024: 580-599- [c50]Tanmoy Dam, Sanjay Bhargav Dharavath
, Sameer Alam, Nimrod Lilith, Supriyo Chakraborty, Mir Feroskhan:
AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer. ICRA 2024: 10657-10664 - [i19]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 abs/2402.07680 (2024) - [i18]Sanjay Bhargav Dharavath, Tanmoy Dam, Supriyo Chakraborty, Prithwiraj Roy, Aniruddha Maiti:
Quantum Inverse Contextual Vision Transformers (Q-ICVT): A New Frontier in 3D Object Detection for AVs. CoRR abs/2408.11207 (2024) - [i17]Akshaj Kumar Veldanda, Shi-Xiong Zhang, Anirban Das, Supriyo Chakraborty, Stephen Rawls, Sambit Sahu, Milind R. Naphade:
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models. CoRR abs/2409.13054 (2024) - 2023
- [c49]Supriyo Chakraborty:
On Distributed Training of Foundation Models: Challenges and Observations. IPDPS Workshops 2023: 789 - [i16]Cai Davies, Marc Roig Vilamala, Alun D. Preece, Federico Cerutti, Lance M. Kaplan, Supriyo Chakraborty:
Knowledge from Uncertainty in Evidential Deep Learning. CoRR abs/2310.12663 (2023) - 2022
- [c48]Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal:
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. AISTATS 2022: 7587-7624 - [c47]Supriyo Chakraborty, Aurobinda Routray, Ritesh Chandra Tewari:
Identification of Thin Layer Via Source Wave-Field Dictionary Learning. IECON 2022: 1-6 - [i15]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 abs/2206.14004 (2022) - 2021
- [j9]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: 107483 (2021) - [c46]Shengzhong Liu, Franck Le, Supriyo Chakraborty, Tarek F. Abdelzaher:
On Exploring Attention-based Explanation for Transformer Models in Text Classification. IEEE BigData 2021: 1193-1203 - [c45]Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner:
SAT: Improving Adversarial Training via Curriculum-Based Loss Smoothing. AISec@CCS 2021: 25-36 - [c44]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: 2807-2823 - [i14]Devansh Shah, Parijat Dube, Supriyo Chakraborty, Ashish Verma:
Adversarial training in communication constrained federated learning. CoRR abs/2103.01319 (2021) - [i13]Ashwinee Panda, Saeed Mahloujifar, Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal:
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification. CoRR abs/2112.06274 (2021) - 2020
- [j8]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): 100049 (2020) - [c43]Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece:
Sanity Checks for Saliency Metrics. AAAI 2020: 6021-6029 - [c42]Supriyo Chakraborty, Aurobinda Routray:
Multi-trace Inversion with Selective Wedge to Increase Thin Layer Resolution in Horizontal Layer. ICCCNT 2020: 1-5 - [i12]Chawin Sitawarin, Supriyo Chakraborty, David A. Wagner:
Improving Adversarial Robustness Through Progressive Hardening. CoRR abs/2003.09347 (2020) - [i11]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 abs/2003.14285 (2020) - [i10]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 abs/2007.10987 (2020)
2010 – 2019
- 2019
- [j7]Supriyo Chakraborty, Parvin A. Barbhuiya, Gulshana A. Mazumder, Bornali Deb, Arif Uddin:
Compositional features and codon usage pattern of TP63 gene. Comput. Biol. Chem. 83 (2019) - [c41]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: 91-98 - [c40]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: 1111-1119 - [c39]Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo:
Analyzing Federated Learning through an Adversarial Lens. ICML 2019: 634-643 - [i9]Richard Tomsett, Dan Harborne, Supriyo Chakraborty, Prudhvi Gurram, Alun D. Preece:
Sanity Checks for Saliency Metrics. CoRR abs/1912.01451 (2019) - 2018
- [j6]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): 1093-1105 (2018) - [c38]Yeon-Sup Lim, Mudhakar Srivatsa, Supriyo Chakraborty, Ian J. Taylor:
Learning Light-Weight Edge-Deployable Privacy Models. IEEE BigData 2018: 1290-1295 - [c37]Changchang Liu, Supriyo Chakraborty, Dinesh C. Verma:
Secure Model Fusion for Distributed Learning Using Partial Homomorphic Encryption. PADG@ESORICS 2018: 154-179 - [c36]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: 1-8 - [c35]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: 838-845 - [c34]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: 37-42 - [c33]Seraphin B. Calo, Dinesh C. Verma, Supriyo Chakraborty, Elisa Bertino, Emil Lupu, Gregory H. Cirincione:
Self-Generation of Access Control Policies. SACMAT 2018: 39-47 - [i8]Moustafa Alzantot, Yash Sharma, Supriyo Chakraborty, Mani B. Srivastava:
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization. CoRR abs/1805.11090 (2018) - [i7]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 abs/1806.07552 (2018) - [i6]Alun D. Preece, Dan Harborne, Dave Braines, Richard Tomsett, Supriyo Chakraborty:
Stakeholders in Explainable AI. CoRR abs/1810.00184 (2018) - [i5]Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin B. Calo:
Analyzing Federated Learning through an Adversarial Lens. CoRR abs/1811.12470 (2018) - 2017
- [j5]Monisha Nath Choudhury, Arif Uddin, Supriyo Chakraborty:
Codon usage bias and its influencing factors for Y-linked genes in human. Comput. Biol. Chem. 69: 77-86 (2017) - [c32]Supriyo Chakraborty, Wentao Robin Ouyang, Mani B. Srivastava:
LightSpy: Optical eavesdropping on displays using light sensors on mobile devices. IEEE BigData 2017: 2980-2989 - [c31]Supriyo Chakraborty, Alun D. Preece, Moustafa Alzantot, Tianwei Xing, Dave Braines, Mani B. Srivastava:
Deep learning for situational understanding. FUSION 2017: 1-8 - [c30]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: 41-52 - [c29]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: 257-258 - [c28]Matthew P. Johnson, Liang Zhao, Supriyo Chakraborty:
Computing messages that reveal selected inferences while protecting others. ITW 2017: 319-323 - [c27]Moustafa Alzantot, Supriyo Chakraborty, Mani B. Srivastava:
SenseGen: A deep learning architecture for synthetic sensor data generation. PerCom Workshops 2017: 188-193 - [c26]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: 1-6 - [c25]Alistair Nottle, 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: 1-6 - [c24]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: 1-6 - [c23]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: 1-6 - [c22]Shashank Jain, Vivek Tiwari, Aruna Balasubramanian, Niranjan Balasubramanian, Supriyo Chakraborty:
PrIA: A Private Intelligent Assistant. HotMobile 2017: 91-96 - [i4]Moustafa Alzantot, Supriyo Chakraborty, Mani B. Srivastava:
SenseGen: A Deep Learning Architecture for Synthetic Sensor Data Generation. CoRR abs/1701.08886 (2017) - [i3]Changchang Liu, Supriyo Chakraborty, Prateek Mittal:
DEEProtect: Enabling Inference-based Access Control on Mobile Sensing Applications. CoRR abs/1702.06159 (2017) - 2016
- [c21]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: 706-717 - [c20]Supriyo Chakraborty, Omer Tripp:
Eavesdropping and obfuscation techniques for smartphones. MOBILESoft 2016: 291-292 - [c19]Changchang Liu, Supriyo Chakraborty, Prateek Mittal:
Dependence Makes You Vulnberable: Differential Privacy Under Dependent Tuples. NDSS 2016 - 2015
- [j4]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: 66-83 (2015) - [c18]Takamasa Higuchi, Paul Martin, Supriyo Chakraborty, Mani B. Srivastava:
AnonyCast: privacy-preserving location distribution for anonymous crowd tracking systems. UbiComp 2015: 1119-1130 - [i2]Jorge Ortiz, Chien-Chin Huang, Supriyo Chakraborty:
Get More With Less: Near Real-Time Image Clustering on Mobile Phones. CoRR abs/1512.02972 (2015) - 2014
- [b1]Supriyo Chakraborty:
Balancing Behavioral Privacy and Information Utility in Sensory Data Flows. University of California, Los Angeles, USA, 2014 - [j3]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: 168-187 (2014) - [c17]Chenguang Shen, Haksoo Choi, Supriyo Chakraborty, Mani B. Srivastava:
Towards a rich sensing stack for IoT devices. ICCAD 2014: 424-427 - [c16]Supriyo Chakraborty, Chenguang Shen, Kasturi Rangan Raghavan, Yasser Shoukry, Matt Millar, Mani B. Srivastava:
ipShield: A Framework For Enforcing Context-Aware Privacy. NSDI 2014: 143-156 - [c15]Stephen Pipes, Supriyo Chakraborty:
Multitiered inference management architecture for participatory sensing. PerCom Workshops 2014: 74-79 - 2013
- [c14]Lance M. Kaplan, Murat Sensoy, Yuqing Tang, Supriyo Chakraborty, Chatschik Bisdikian, Geeth de Mel:
Reasoning under uncertainty: Variations of subjective logic deduction. FUSION 2013: 1910-1917 - [c13]Supriyo Chakraborty, Nicolas Bitouze, Mani B. Srivastava, Lara Dolecek:
Protecting data against unwanted inferences. ITW 2013 - [c12]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: 9:1-9:5 - [c11]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: 11 - 2012
- [j2]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): 331-345 (2012) - [c10]Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Harris Teague:
Model-based context privacy for personal data streams. CCS 2012: 1046-1048 - [c9]Lance M. Kaplan, Supriyo Chakraborty, Chatschik Bisdikian:
Subjective logic with uncertain partial observations. FUSION 2012: 565-572 - [c8]Supriyo Chakraborty, Kasturi Rangan Raghavan, Mani B. Srivastava, Chatschik Bisdikian, Lance M. Kaplan:
Balancing value and risk in information sharing through obfuscation. FUSION 2012: 1615-1622 - [c7]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: 157-160 - [c6]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: 1004-1011 - 2011
- [j1]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): 1052-1068 (2011) - [c5]Supriyo Chakraborty, Haksoo Choi, Mani B. Srivastava:
Demystifying privacy in sensory data: A QoI based approach. PerCom Workshops 2011: 38-43 - [c4]Haksoo Choi, Supriyo Chakraborty, Zainul Charbiwala, Mani B. Srivastava:
SensorSafe: A Framework for Privacy-Preserving Management of Personal Sensory Information. Secure Data Management 2011: 85-100 - [c3]Rahul Balani, Mohamed Nabil Hajj Chehade, Supriyo Chakraborty, Mani B. Srivastava:
Distributed coordination for fast iterative optimization in wireless sensor/actuator networks. SECON 2011: 485-493 - [c2]Arijit Khan, Nan Li, Xifeng Yan, Ziyu Guan, Supriyo Chakraborty, Shu Tao:
Neighborhood based fast graph search in large networks. SIGMOD Conference 2011: 901-912 - 2010
- [c1]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: 1190-1198
2000 – 2009
- 2009
- [i1]Bikash Kumar Dey, D. Manjunath, Supriyo Chakraborty:
Estimating Network Link Characteristics using Packet-Pair Dispersion: A Discrete Time Queueing Theoretic View. CoRR abs/0911.3528 (2009)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-22 21:18 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
