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Publications

  • US-UK PETs Prize Challenge: Anomaly Detection via Privacy-Enhanced Federated Learning  [link]

Hafiz Asif, Sitao Min, Xinyue Wang, and Jaideep Vaidya

 IEEE Transactions on Privacy,  2024

  • Differentially Private Range Counting: Where Asymptotically Better Fails, Integer Covering Prevails   [link]

Hafiz Asif, Endre Boros, and Jaideep Vaidya

Annals of Operations Research (ANOR), under review. 2024

  • Geometric Ensembles for Machine Translation   [link]

Nathanial Hobbs, Periklis A. Papakonstanious, Jaideep Vaidya,  Hafiz Asif, and  Jia Xu,

Empirical Methods in Natural Language Processing (EMNLP), under review. 2024

  • FedImpute: A Benchmarking Tool for Cross-Silo Federated Missing Data Imputation   [link]

Sitao Min, Hafiz Asif, Xinyue Wang, and Jaideep Vaidya

Neural Information Processing Systems (NeurIPS) Datasets and Benchmarks Track, under review. 2024

  • Synthetic Data Generation: How to Achieve High Fidelity by Preserving Missing Data Distribution [link]

Xinyue Wang, Hafiz Asif and Jaideep Vaidya

IEEE Transactions on Knowledge and Data Engineering (TKDE), tentative, 2024

  • Federated Imputation: Cafe, A Method to Leverage Missing Data Heterogeneity    [link]

Sitao Min, Hafiz Asif, Xinyue Wang, and Jaideep Vaidya

IEEE Transactions on Knowledge and Data Engineering (TKDE), tentative, 2024

  • Impact of Missing Data on Algorithmic Bias and Discrimnation   [link]

Sitao Min, Hafiz Asif, and Jaideep Vaidya

Information Systems Research (ISR), tentative. 2024

  • A Critical Look at AI-Generate Software: Coding with the New AI Tools is Both Irresistible and Dangerous   [link]

Jaideep Vaidya and Hafiz Asif

 IEEE Spectrum, vol. 60, no. 7, pp. 34-39, July 2023

  • Sensitive Privacy: Data Privacy for Analyzing Anomalies   [link]

Hafiz Asif

The ACM Web Encyclopedia of Cryptography, Security and Privacy. Springer, Berlin, Heidelberg. 2023

  • Synthetic Data   [link]

Xinyue Wang, Hafiz Asif, Jaideep Vaidya

The ACM Web Encyclopedia of Cryptography, Security and Privacy. Springer, Berlin, Heidelberg. 2023

  • Preserving Missing Data Distribution in Synthetic Data   [link]

Xinyue Wang, Hafiz Asif, Jaideep Vaidya

The ACM Web Conference (WWW) 2023

  • A Study of Users’ Privacy Preferences for Data Sharing on Symptoms-Tracking/Health App

Hafiz Asif and Jaideep Vaidya

20th Workshop on Privacy in the Electronic Society (WPES) 2022, (affiliated with CCS )

  • Intelligent Pandemic Surveillance via Privacy-Preserving Crowdsensing    [link]

Hafiz Asif, Periklis A. Papakonstantinou, Stephanie Shiau, Vivek Singh, Jaideep Vaidya

IEEE Intelligent Systems, 2022

  • Privacy Attitudes and COVID Symptom Tracking Apps: Understanding Active Boundary Management by Users    [link]

Jinkyung Park, Eiman Ahmed, Hafiz Asif, Jaideep Vaidya, Vivek Singh

International Conference on Information (iConference), 2022

  • Identifying Anomalies while Preserving Privacy    [link]

Hafiz Asif, Periklis A. Papakonstantinou, Jaideep Vaidya

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021

  • Privacy or Utility? How to Preserve Both in Outlier Analysis     [link]

Hafiz Asif, Ph.D. dissertation, Rutgers University, 2021. 

  • A Guide to Private Outlier Analysis     [link]

Hafiz Asif, Periklis A. Papakonstantinou, Jaideep Vaidya

IEEE Letters of the Computer Society (LOCS), 2020. 

  • How to Accurately and Privately Identify Anomalies     [link]

Hafiz Asif, Periklis A. Papakonstantinou, Jaideep Vaidya

ACM Conference on Computer and Communications Security (CCS), 2019

  • Differentially Private Outlier Detection in a Collaborative Environment     [link]

Hafiz Asif, Tanay Talukdar, Jaideep Vaidya, Basit Shafiq, Nabil R. Adam

International Journal of Cooperative Information Systems (IJCIS), 2018

  • Secure and Efficient k-NN Queries     [link]

Hafiz Asif,  Jaideep Vaidya, Basit Shafiq, Nabil R. Adam

IFIP International Conference on ICT Systems Security and Privacy Protection Information Systems (IFIP-SEC), 2017

  • Collaborative Differentially Private Outlier Detection for Categorical Data     [link]

Hafiz Asif, Tanay Talukdar, Jaideep Vaidya, Basit Shafiq, Nabil R. Adam

IEEE International Conference on Collaboration and Internet Computing (CIC), 2016

  • A Privacy-Sensitive Collaborative Approach to Business Process Development     [link]

Hassaan Irshad, Basit Shafiq, Jaideep Vaidya, Muhammad Ahmed Bashir, Hafiz Asif, 

Sameera Ghayyur, Shafay Shamail, Nabil R. Adam

International Conference on E-Business and Telecommunications (ICETE), 2015

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