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Dr Priyanka Singh
Dr

Priyanka Singh

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Overview

Background

I am a passionate researcher with a background in computer science and a strong commitment to leveraging technology for the betterment of society. I hold a PhD in Image Forensics and have had the privilege of conducting postdoctoral research at prestigious institutions such as SUNY Albany and Dartmouth College, where I had the opportunity to collaborate closely with Prof. Hany Farid.

During my postdoc at Dartmouth College, I focused my research efforts on addressing a critical societal issue - real-time child pornography detection. This research not only garnered recognition within the academic community but also earned praise from luminaries like Prof. Ramesh Raskar at MIT, who invited me to share my insights through a talk at MIT.

I primarily works in the area of Cyber Security, Digital Forensics, Privacy and Security Aspects, Homomorphic Encryption and Cloud Computing.

As I continue my research journey, I remain committed to making a positive impact through innovation and collaboration. I am excited about the opportunities that lie ahead and the potential for technology to create a safer and more inclusive world.

Availability

Dr Priyanka Singh is:
Available for supervision

Qualifications

  • Bachelor of Information Technology, Uttar Pradesh Technical University
  • Masters (Research) of Image Processing, Motilal Nehru National Institute of Technology
  • Doctor of Philosophy of Image Processing, Motilal Nehru National Institute of Technology

Research interests

  • Vulnerability of Distributed Deep Learning Models

    Study on various attack scenarios and building defenses

  • Cyber Security

    Combat Child Pornography, Cloud Security

  • Image Forensic Techniques to Detect Fake/Real

    JPEG Ghosts, Statistical Methods, Camera Based Methods, Morphing Attacks

  • Privacy-Preserving Location Based Services

    Proximity Detection, Geohashing

  • Privacy-Preserving Medical Frameworks

    Secure Data Deduplication of Health Data, Disease Prediction

Research impacts

My work focusses on using cutting-edge technology to tackle real-world challenges, particularly in the realm of online safety and security. I am driven by the belief that responsible and ethical technology can play a transformative role in protecting the most vulnerable in our society.

Works

Search Professor Priyanka Singh’s works on UQ eSpace

64 works between 2012 and 2024

1 - 20 of 64 works

2024

Conference Publication

IRIS-SAFE: privacy-preserving biometric authentication

Listiyani, Devi and Singh, Priyanka (2024). IRIS-SAFE: privacy-preserving biometric authentication. 2024 17th International Conference on Security of Information and Networks (SIN), Sydney, Australia, 2-4 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/sin63213.2024.10871371

IRIS-SAFE: privacy-preserving biometric authentication

2024

Conference Publication

CDCEF: a cloud-based data volatility & CSP reliance eradication framework

Sharma, Pankaj Hariom and Singh, Priyanka (2024). CDCEF: a cloud-based data volatility & CSP reliance eradication framework. 2024 17th International Conference on Security of Information and Networks (SIN), Sydney, Australia, 2-4 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/sin63213.2024.10871550

CDCEF: a cloud-based data volatility & CSP reliance eradication framework

2024

Conference Publication

Unsupervised learning for insider threat prediction: a behavioral analysis approach

Mehmood, Rahat, Singh, Priyanka and Jeffery, Zoe (2024). Unsupervised learning for insider threat prediction: a behavioral analysis approach. 2024 17th International Conference on Security of Information and Networks (SIN), Sydney, Australia, 2-4 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/sin63213.2024.10871807

Unsupervised learning for insider threat prediction: a behavioral analysis approach

2024

Conference Publication

FakeFaceDiscriminator: discrimination of AI-synthesized fake faces

Liu, Xufeng, Vu, Quoc Hoan and Singh, Priyanka (2024). FakeFaceDiscriminator: discrimination of AI-synthesized fake faces. 2024 17th International Conference on Security of Information and Networks (SIN), Sydney, Australia, 2-4 December 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/sin63213.2024.10871737

FakeFaceDiscriminator: discrimination of AI-synthesized fake faces

2024

Conference Publication

Exploiting correlation between facial action units for detecting deepfake videos

Vu, Quoc Hoan and Singh, Priyanka (2024). Exploiting correlation between facial action units for detecting deepfake videos. 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, United States, 7-9 August 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mipr62202.2024.00106

Exploiting correlation between facial action units for detecting deepfake videos

2024

Conference Publication

Guarding against ChatGPT threats: identifying and addressing vulnerabilities

Zhang, Dingzong, Jain, Khushi and Singh, Priyanka (2024). Guarding against ChatGPT threats: identifying and addressing vulnerabilities. 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, United States, 7-9 August 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mipr62202.2024.00104

Guarding against ChatGPT threats: identifying and addressing vulnerabilities

2024

Journal Article

PP-PRNU: PRNU-based source camera attribution with privacy-preserving applications

Jena, Riyanka, Singh, Priyanka, Mohanty, Manoranjan and Das, Manik Lal (2024). PP-PRNU: PRNU-based source camera attribution with privacy-preserving applications. Computing, 106 (10), 3309-3333. doi: 10.1007/s00607-024-01330-w

PP-PRNU: PRNU-based source camera attribution with privacy-preserving applications

2024

Conference Publication

SADHE: secure anomaly detection for GPS trajectory based on homomorphic encryption

Singh, Priyanka, Rathi, Jash and Patel, Priyankaben Babulal (2024). SADHE: secure anomaly detection for GPS trajectory based on homomorphic encryption. 39th Annual ACM Symposium on Applied Computing (SAC), Avila, Spain, 8-12 April 2024. New York, NY, United States: ACM. doi: 10.1145/3605098.3636165

SADHE: secure anomaly detection for GPS trajectory based on homomorphic encryption

2024

Conference Publication

Privacy-preserving disease prediction with secure data deduplication on untrusted cloud servers

Jain, Khushi, Singh, Priyanka and Li, Xue (2024). Privacy-preserving disease prediction with secure data deduplication on untrusted cloud servers. 2024 IEEE 7th International Conference on Multimedia Information Processing and Retrieval (MIPR), San Jose, CA, United States, 7 - 9 August 2024. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/MIPR62202.2024.00114

Privacy-preserving disease prediction with secure data deduplication on untrusted cloud servers

2023

Conference Publication

RAFT: evaluating federated learning resilience against threats

Kumar, Mayank, Agrawal, Radha and Singh, Priyanka (2023). RAFT: evaluating federated learning resilience against threats. 2023 16th International Conference on Security of Information and Networks (SIN), Jaipur, India, 20-21 November 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/sin60469.2023.10474931

RAFT: evaluating federated learning resilience against threats

2023

Conference Publication

BATFL: battling backdoor attacks in federated learning

Kumar, Mayank, Agrawal, Radha and Singh, Priyanka (2023). BATFL: battling backdoor attacks in federated learning. 2023 16th International Conference on Security of Information and Networks (SIN), Jaipur, India, 20-21 November 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/sin60469.2023.10474981

BATFL: battling backdoor attacks in federated learning

2023

Journal Article

PP-JPEG: A Privacy-Preserving JPEG Image-Tampering Localization

Jena, Riyanka, Singh, Priyanka and Mohanty, Manoranjan (2023). PP-JPEG: A Privacy-Preserving JPEG Image-Tampering Localization. Journal of Imaging, 9 (9) 172, 1-15. doi: 10.3390/jimaging9090172

PP-JPEG: A Privacy-Preserving JPEG Image-Tampering Localization

2023

Conference Publication

PPAuth: A privacy-preserving framework for authentication of digital image

Jena, Riyanka, Singh, Priyanka and Mohanty, Manoranjan (2023). PPAuth: A privacy-preserving framework for authentication of digital image. 7th International Symposium on Cyber Security, Cryptology, and Machine Learning, CSCML 2023, Be'er Sheva, Israel, 29–30 June 2023. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-34671-2_14

PPAuth: A privacy-preserving framework for authentication of digital image

2023

Conference Publication

Data poisoning attack by label flipping on SplitFed learning

Gajbhiye, Saurabh, Singh, Priyanka and Gupta, Shaifu (2023). Data poisoning attack by label flipping on SplitFed learning. 5th International Conference, RTIP2R 2022, Kingsville, TX United States, 1-2 December 2022. Cham, Switzerland: Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-031-23599-3_30

Data poisoning attack by label flipping on SplitFed learning

2023

Book Chapter

XAIForCOVID-19: A comparative analysis of various explainable AI techniques for COVID-19 diagnosis using chest x-ray images

Patel, Nisarg, Parmar, Siddhraj, Singh, Priyanka and Mohanty, Manoranjan (2023). XAIForCOVID-19: A comparative analysis of various explainable AI techniques for COVID-19 diagnosis using chest x-ray images. Communications in computer and information science. (pp. 503-517) edited by Deep Gupta, Kishor Bhurchandi, Subrahmanyam Murala, Balasubramanian Raman and Sanjeev Kumar. Cham, Switzerland: Springer Nature Switzerland. doi: 10.1007/978-3-031-31417-9_38

XAIForCOVID-19: A comparative analysis of various explainable AI techniques for COVID-19 diagnosis using chest x-ray images

2022

Journal Article

An image forensic technique based on JPEG ghosts

Singh, Divakar, Singh, Priyanka, Jena, Riyanka and Chakraborty, Rajat Subhra (2022). An image forensic technique based on JPEG ghosts. Multimedia Tools and Applications, 82 (9), 14153-14169. doi: 10.1007/s11042-022-13699-x

An image forensic technique based on JPEG ghosts

2022

Conference Publication

SHELBRS: Location-based recommendation services using switchable homomorphic encryption

Jain, Mishel, Singh, Priyanka and Raman, Balasubramanian (2022). SHELBRS: Location-based recommendation services using switchable homomorphic encryption. 11th International Conference on Security, Privacy, and Applied Cryptography Engineering (SPACE), Kolkata, India, 10–13 December 2021. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-95085-9_4

SHELBRS: Location-based recommendation services using switchable homomorphic encryption

2022

Journal Article

Can Zoom video conferencing tool be misused for real-time cybercrime?

Mohanty, Manoranjan, Jena, Riyanka and Singh, Priyanka (2022). Can Zoom video conferencing tool be misused for real-time cybercrime?. Wiley Interdisciplinary Reviews: Forensic Science, 4 (1) e1419, 1-6. doi: 10.1002/wfs2.1419

Can Zoom video conferencing tool be misused for real-time cybercrime?

2021

Conference Publication

Covid-19 Tracker: A data visualization tool for time series data of pandemic in India

Talavia, Yaksh, Singh, Priyanka and Manoharan, Sathiamoorthy (2021). Covid-19 Tracker: A data visualization tool for time series data of pandemic in India. 8th IEEE Asia-Pacific Conference on Computer Science and Data Engineering (IEEE CSDE), Brisbane, QLD Australia, 8-10 December 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/csde53843.2021.9718425

Covid-19 Tracker: A data visualization tool for time series data of pandemic in India

2021

Conference Publication

Effect of Environmental Conditions on PRNU

Rohan, Pucha, Singh, Priyanka and Mohanty, Manoranjan (2021). Effect of Environmental Conditions on PRNU. 2021 IEEE 24th International Conference on Computational Science and Engineering, CSE 2021, Shenyang, China, 20-22 October 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/cse53436.2021.00031

Effect of Environmental Conditions on PRNU

Supervision

Availability

Dr Priyanka Singh is:
Available for supervision

Before you email them, read our advice on how to contact a supervisor.

Available projects

  • Research projects

    • Investigating vulnerabilities of Split Learning/Federated Learning/Split-Fed Learning Models

    • Defenses to build Robust Deep Learning Models

    • Image/Audio/Video Forensic Techniques to Detect Doctored Images/Deep Fakes

    • Privacy Preserving Frameworks for Various Applications

    • Geo-hashing and Location Based Services

Supervision history

Current supervision

  • Doctor Philosophy

    Privacy preservation with Large Language Models

    Principal Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

    Advancing cyberworthiness via integration of AI and Model-Based Systems Engineering (MBSE)

    Principal Advisor

    Other advisors: Professor Ryan Ko

  • Master Philosophy

    Multi-modal Detection of Video Disinformation

    Principal Advisor

    Other advisors: Professor Xue Li

  • Doctor Philosophy

    Weighted Ensembles for Different machine learning model that support non-data-sharing / vertical partition

    Associate Advisor

    Other advisors: Professor Xue Li

Media

Enquiries

For media enquiries about Dr Priyanka Singh's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au