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
Fields of research
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
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Towards Mitigation of AI Based Attacks
The adoption of Artificial Intelligence (AI) has made a paradigmatic shift in the cybersecurity challenges. On the positive side, AI enables faster detection of anomalies, automated responses to attacks, and predictive threat modeling. This helps organisations to proactively combat cyber threats and minimise the impact of attacks. On the contrary, the integration of AI also opens new avenues for adversaries. Cybercriminals are increasingly leveraging AI to craft sophisticated attacks, such as automated phishing schemes, deepfake technology, and AI-driven malware that can adapt to traditional defence mechanisms. The existing cybersecurity frameworks lack adequate update to address this sophistication.
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Facilitating confidential and effective Cyber Threat Intelligence sharing
Cyber Threat Intelligence (CTI) data is shared 24/7 between industry organisations and government agencies to provide incident responders real-time information about attackers' tactics and origins. Theoretically, this collaborative approach uplifts sectors’ cyber resilience but in reality, CTI sharing is often done inefficiently and ineffectively due to organisations' reticence to share full information which may unknowingly reveal organisational data (e.g., to competing or unknown entities within the community). This project aims to urgently address these challenges through a secure, collaborative CTI sharing approach with robust privacy protection built for AI-driven cybersecurity systems facilitating swift sector-wide incident response.
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Security and Privacy of Large Language Models
As Large Language Models (LLMs) become increasingly pervasive in applications ranging from natural language understanding to creative content generation, the need for robust privacy protections becomes more critical. These models, which are trained on vast amounts of data, raise significant concerns regarding data security, user privacy, and ethical implications. This project aims to explore the privacy challenges inherent in LLMs, addressing both technical and legal dimensions while highlighting best practices for privacy-preserving AI development.
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Combat Propagation of Dis/Misinformation on Social Media
Disinformation refers to deliberate misleading of people by manipulating narrative or facts. The unprecedented propagation of disinformation on social media can influence one’s mindset and cause an adverse impact on the society. AI-enabled tracking of the entire pipeline of disinformation by identifying the source, the target audience, the hidden agenda, the media of propagation, and the kind of influence can potentially combat this problem by reverse-identification of the origin of disinformation narratives and helping authorities to address the falsification problem.
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From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users
The proliferation of deepfake technologies poses urgent challenges and serious risks to digital integrity, particularly within critical sectors such as forensics, journalism, and the legal system. While existing detection systems have made significant progress in classification accuracy, they typically function as black-box models-offering limited transparency and minimal support for human reasoning. This lack of interpretability hinders their usability in real-world decision-making contexts, especially for non-expert users.
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
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
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
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
2021
Conference Publication
Robust homomorphic video hashing
Singh, Priyanka (2021). Robust homomorphic video hashing. 2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR), Tokyo, Japan, 8-10 September 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mipr51284.2021.00021
2021
Conference Publication
Detection of AI-Synthesized Speech Using Cepstral & Bispectral Statistics
Singh, Arun Kumar and Singh, Priyanka (2021). Detection of AI-Synthesized Speech Using Cepstral & Bispectral Statistics. 2021 IEEE 4th International Conference on Multimedia Information Processing and Retrieval (MIPR), Tokyo, Japan, 8-10 September 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mipr51284.2021.00076
2021
Conference Publication
An Image Forensic Technique Based on SIFT Descriptors and FLANn Based Matching
Gupta, Megha and Singh, Priyanka (2021). An Image Forensic Technique Based on SIFT Descriptors and FLANn Based Matching. 2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT), Kharagpur, India, 6-8 July 2021. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/icccnt51525.2021.9579701
2020
Conference Publication
HEDrone: Privacy-preserving proof-of-alibi for drone compliance based on homomorphic encryption
Garikipati, Ganeshsai, Roshani,, Mathuria, Anish and Singh, Priyanka (2020). HEDrone: Privacy-preserving proof-of-alibi for drone compliance based on homomorphic encryption. 10th International Conference on Security, Privacy and Applied Cryptography Engineering, SPACE 2020, Kolkata, India, 17–21 December 2020. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-66626-2_8
2020
Conference Publication
A forensic technique to detect copy-move forgery based on image statistics
Nirwal, Ayush, Khandelwal, Raghav, Patel, Smit and Singh, Priyanka (2020). A forensic technique to detect copy-move forgery based on image statistics. 10th International Conference, SPACE 2020, Kolkata, India, 17-20 December 2020. Cham, Switzerland: Springer Cham. doi: 10.1007/978-3-030-66626-2_5
2019
Conference Publication
CARTOONNET: Caricature recognition of public figures
Shukla, Pushkar, Gupta, Tanu, Singh, Priyanka and Raman, Balasubramanian (2019). CARTOONNET: Caricature recognition of public figures. 3rd International Conference on Computer Vision and Image Processing (CVIP), Jabalpur, India, 29 September - 1 October 2018. Singapore: Springer. doi: 10.1007/978-981-32-9088-4_1
2019
Conference Publication
Robust homomorphic image hashing
Singh, Priyanka and Farid, Hany (2019). Robust homomorphic image hashing. 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2019, Long Beach, CA United States, 16 - 20 June 2019. Piscataway, NJ, United States: IEEE Computer Society.
2019
Journal Article
Recovering tampered regions in encrypted video using POB number system
Singh, Priyanka and Atrey, Pradeep K. (2019). Recovering tampered regions in encrypted video using POB number system. Signal Processing-Image Communication, 74, 96-109. doi: 10.1016/j.image.2019.01.009
2018
Journal Article
Secure data deduplication using secret sharing schemes over cloud
Singh, Priyanka, Agarwal, Nishant and Raman, Balasubramanian (2018). Secure data deduplication using secret sharing schemes over cloud. Future Generation Computer Systems, 88, 156-167. doi: 10.1016/j.future.2018.04.097
2018
Journal Article
Writer identification using texture features: a comparative study
Singh, Priyanka, Roy, Partha Pratim and Raman, Balasubramanian (2018). Writer identification using texture features: a comparative study. Computers and Electrical Engineering, 71, 1-12. doi: 10.1016/j.compeleceng.2018.07.003
2018
Journal Article
Detection of seal and signature entities with hierarchical recovery based on watermark self embedding in tampered digital documents
Singh, Priyanka, Raman, Balasubramanian and Roy, Partha Pratim (2018). Detection of seal and signature entities with hierarchical recovery based on watermark self embedding in tampered digital documents. Displays, 54, 47-59. doi: 10.1016/j.displa.2018.09.004
2018
Conference Publication
SecureCMerge: Secure PDF Merging Over Untrusted Servers
Sharma, Neha, Singh, Priyanka and Atrey, Pradeep K. (2018). SecureCMerge: Secure PDF Merging Over Untrusted Servers. 1st IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), Miami, FL United States, 10-12 April 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mipr.2018.00087
2018
Conference Publication
GeoSClean: secure cleaning of GPS trajectory data using anomaly detection
Patil, Vikram, Singh, Priyanka, Parikh, Shivam and Atrey, Pradeep K. (2018). GeoSClean: secure cleaning of GPS trajectory data using anomaly detection. 1st IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), Miami, FL USA, 10-12 April 2018. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/mipr.2018.00037
2018
Conference Publication
Client Side Secure Image Deduplication Using DICE Protocol
Agarwala, Ashish, Singh, Priyanka and Atrey, Pradeep K. (2018). Client Side Secure Image Deduplication Using DICE Protocol. 1st IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), Miami, FL United States, 10-12 April 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mipr.2018.00089
2018
Journal Article
Just process me, without knowing me: a secure encrypted domain processing based on Shamir secret sharing and POB number system
Singh, Priyanka, Raman, Balasubramanian and Misra, Manoj (2018). Just process me, without knowing me: a secure encrypted domain processing based on Shamir secret sharing and POB number system. Multimedia Tools and Applications, 77 (10), 12581-12605. doi: 10.1007/s11042-017-4906-4
2018
Conference Publication
SecMed: A Secure Approach for Proving Rightful Ownership of Medical Images in Encrypted Domain over Cloud
Pandey, Aishwary K., Singh, Priyanka, Agarwal, Nishant and Raman, Balasubramanian (2018). SecMed: A Secure Approach for Proving Rightful Ownership of Medical Images in Encrypted Domain over Cloud. 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR), Miami, FL United States, 10-12 April 2018. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mipr.2018.00085
2018
Journal Article
Don't just sign use brain too: a novel multimodal approach for user identification and verification
Saini, Rajkumar, Kaur, Barjinder, Singh, Priyanka, Kumar, Pradeep, Roy, Partha Pratim, Raman, Balasubramanian and Singh, Dinesh (2018). Don't just sign use brain too: a novel multimodal approach for user identification and verification. Information Sciences, 430, 163-178. doi: 10.1016/j.ins.2017.11.045
Supervision
Availability
- Dr Priyanka Singh is:
- Available for supervision
Before you email them, read our advice on how to contact a supervisor.
Available projects
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Research projects
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Investigating vulnerabilities of Split Learning/Federated Learning/Split-Fed Learning Models
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Defenses to build Robust Deep Learning Models
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Image/Audio/Video Forensic Techniques to Detect Doctored Images/Deep Fakes
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Privacy Preserving Frameworks for Various Applications
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Geo-hashing and Location Based Services
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Supervision history
Current supervision
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Doctor Philosophy
Advancing cyberworthiness via integration of AI and Model-Based Systems Engineering (MBSE)
Principal Advisor
Other advisors: Professor Ryan Ko
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Doctor Philosophy
Privacy preservation with Large Language Models
Principal Advisor
Other advisors: Professor Xue Li
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Doctor Philosophy
Understanding Privacy Concerns About Living in Smart Cities and Enhancing Privacy Awareness
Principal Advisor
Other advisors: Professor Xue Li
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Master Philosophy
Effective and versatile multimodal fusion
Principal Advisor
Other advisors: Professor Xue Li
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Doctor Philosophy
Identification of Disinformation Origins with Evidence-Based Justification
Associate Advisor
Other advisors: Professor Xue Li
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Doctor Philosophy
Behaviour-Oriented Tracking of Disinformation
Associate Advisor
Other advisors: Professor Xue Li
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Master Philosophy
Mapping Emerging Narratives Composed of False Information
Associate Advisor
Other advisors: Professor Xue Li
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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
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