Published works across top venues such as NeurIPS, KDD, WWW, ACM MM, and ACM Computing Surveys. Notable works include:
- Through the Lens: Benchmarking Deepfake Detectors Against Moiré-Induced Distortions (NeurIPS '25)
- From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users (ACMMM '25)
- LLMs in the SOC: An Empirical Study of Human-AI Collaboration in Security Operations Centres (S&P '25)
- Alert Fatigue in Security Operations Centres: Research Challenges and Opportunities (ACM Computing Surveys, 2025)
- Am I a Real or Fake Celebrity? Evaluating face recognition & verification APIs under deepfake impersonation (WWW '22)
- FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset (NeurIPS '21)
- One Detector to Rule Them All: Toward a General Deepfake Attack Detection Framework (WWW '21)
- CoReD: Continual Representation with Distillation to Generalize Fake Media Detection (ACMMM '21)
- CL-MPPCA: Detecting Anomalies in Space Using Multivariate Convolutional LSTM with Mixtures of Probabilistic PCA (KDD'19)
Research Experience
Working at CSIRO's Data61 (Sydney), focusing on:
- Advancing generalizable detection methods that remain robust under distribution shift and novel attack vectors
- Designing continual/lifelong learning systems that adapt with minimal retraining
- Building human-AI teaming frameworks that improve decision quality and accountability in socio-technical contexts
Background
A Research Scientist at CSIRO’s Data61 (Sydney) working on AI security, deepfake & generative media forensics, and human-AI collaboration for high-stakes, real-world settings (e.g., cybersecurity operations). Recently named a finalist for the Australian AI Awards 2025 in the “AI Rising Star of the Year” category, recognizing contributions to trustworthy AI.