Dr. Hassan Asghar

Room 210, 4 Research Park Drive, North Ryde
Phone: +61 2 9850 9521
hassan.asghar@mq.edu.au

  • Applied Cryptography
  • Data Privacy
  • Information Security
  • Machine Learning Security and Privacy
  • Differential Privacy
  • Homomorphic Encryption

I am a Senior Lecturer in the School of Computing and a member of the Macquarie University Cyber Security Hub.  and a Fellow of the IEEE. My broader research interest is in the areas of applied cryptography, data privacy and information security. I have been part of several industry projects around formally proven privacy-preserving sharing and public release of sensitive datasets. I have published in several areas of cyber security including next generation authentication, secure multiparty computation, cryptographic primitives, formal privacy notions, privacy preserving data sharing, secure outsourced function evaluation, and security and privacy of machine learning.

  • Applied Cryptography
  • Data Privacy
  • Information Security
  • Machine Learning Security and Privacy
  • Differential Privacy
  • Homomorphic Encryption
  • An Automated System for Rapid, Accurate Malware Analysis and Effective Triage
  • Privacy Vulnerabilities of Artificially Intelligent Conversational Agents
  • Secure and Private Joint Data Analysis
  1. J Smith, HJ Asghar, G Gioiosa, S Mrabet, S Gaspers, P Tyler, “Making the most of parallel composition in differential privacy,” In Proceedings on Privacy Enhancing Technologies (PETS) 2022.
  2. Z Lu, HJ Asghar, MA Kaafar, D Webb, P Dickinson, “A Differentially Private Framework for Deep Learning with Convexified Loss Functions,” In IEEE Transactions on Information Forensics and Security 2022.
  3. BZH Zhao, A Agrawal, C Coburn, HJ Asghar, R Bhaskar, MA Kaafar, “On the (In) Feasibility of Attribute Inference Attacks on Machine Learning Models,” In IEEE European Symposium on Security and Privacy 2021.
  4. BZH Zhao, HJ Asghar, MA Kaafar, “On the Resilience of Biometric Authentication Systems against Random Inputs,” In Network and Distributed Systems Security (NDSS) Symposium 2020.
  5. HJ Asghar, M Ding, T Rakotoarivelo, S Mrabet, D Kaafar, “Differentially Private Release of Datasets using Gaussian Copula,” In Journal of Privacy and Confidentiality 2020.

Full publication list available at: https://scholar.google.com.au/citations?user=qAW2S9rkzfMC