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Our paper "Auditing YouTube’s recommendation system for ideologically congenial, extreme, and problematic recommendations" has been accepted for publication in the Proceedings of the National Academy of Sciences (PNAS) 2023.

  • by chhabra
  • May 16. 2024

For more info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Towards Fair Video Summarization" has been accepted for publication in the Transactions on Machine Learning Research

  • by chhabra
  • May 16. 2024

For more info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "“What Data Benefits My Classifier?” Enhancing Model Performance and Interpretability through Influence-Based Data Selection" has been accepted as an oral talk (top 1.2%) at the ICLR 2024 Main Conference!

  • by chhabra
  • May 16. 2024

For more info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Revisiting Zero-Shot Abstractive Summarization in the Era of Large Language Models from the Perspective of Position Bias" has been accepted as an oral talk and published in NAACL 2024!

  • by chhabra
  • May 16. 2024

For more info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Development and clinical validation of Swaasa AI platform for screening and prioritization of pulmonary TB" has been accepted for publication to Nature Scientific Reports | Prasant Mohapatra’s Research Group

  • by jadorno
  • March 24. 2023

For more info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Federated Learning Hyper-Parameter Tuning From A System Perspective" has been accepted for publication in the IEEE IoT Journal

  • by jadorno
  • March 6. 2023

For more info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Robust Fair Clustering: A Novel Fairness Attack and Defense Framework" has been accepted for publication in the ICLR 2023 Main Conference

  • by jadorno
  • March 6. 2023

For more info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Towards System-Level Security Analysis of IoT Using Attack Graphs" has been accepted for publication to IEEE Transactions on Mobile Computing

  • by jadorno
  • December 16. 2022

For more info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Updatable Clustering Via Patches" has been accepted for publication at UpML workshop at ICML 2022

  • by jadorno
  • December 5. 2022

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Towards Unconstrained Vocabulary Eavesdropping with mmWave Radar using GAN" has been accepted for publication at IEEE Transactions on Mobile Computing 2022

  • by jadorno
  • December 5. 2022

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "On the Robustness of Deep Clustering Models" has been accepted for publication at NeurIPS 2022

  • by jadorno
  • December 5. 2022

- Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

- Presenting our poster at NeurIPS 2022 (below)!

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Our paper "FANDEMIC: Firmware Attack Construction and Deployment on Power Management Integrated Circuit and Impacts on IoT Applications" has been accepted for publication at NDSS 2022

  • by jadorno
  • January 15. 2022

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "MAIDE: Augmented Reality (AR)-facilitated Mobile System for Onboarding of Internet of Things (IoT) Devices at Ease" has been accepted for publication in the ACM Transactions on IoT

  • by jadorno
  • December 19. 2021

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Fairness Degrading Adversarial Attacks Against Clustering Algorithms" has been accepted at NeurIPS AFCR Workshop 2021

  • by jadorno
  • October 21. 2021

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Fair Clustering Using Antidote Data" has been accepted at NeurIPS AFCR Workshop 2021

  • by jadorno
  • October 21. 2021

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Escaping Saddle-Point Faster under Interpolation-like Conditions" has been accepted for publication at NeurIPS 2020

  • by jadorno
  • October 19. 2021

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "An Overview of Fairness in Clustering" has been accepted for publication in IEEE Access

  • by jadorno
  • October 19. 2021

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Vulnerabilities in Federated Learning" has been accepted for publication in IEEE Access

  • by jadorno
  • October 12. 2021

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "Suspicion-free Adversarial Attacks on Clustering Algorithms" has been accepted for publication at AAAI 2020

  • by jadorno
  • February 12. 2020

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Our paper "A Moving Target Defense Against Adversarial Machine Learning" has been accepted for publication at IEEE SEC EDGE S&P 2019

  • by jadorno
  • December 12. 2019

Formore info please visit:

https://pmlab.cse.usf.edu/publications.html

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Congratulations to our group for having one paper accepted for publication in INFOCOM 2019

  • by jadorno
  • December 1. 2018

Congratulations to our group for having one paper accepted for publication in INFOCOM 2019

Keeping Context In Mind: Automating Mobile App Access Control with User Interface Inspection

Hao Fu, Zizhan Zheng, Sencun Zhu, Prasant Mohapatra

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UC Davis Chancellor Selects Prasant Mohapatra as Vice Chancellor for Research

  • by Hao Fu
  • June 25. 2018

https://pmlab.cse.usf.edu/publications.html

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