Graduating Ph.D. Student, National University of Singapore
Mobile Sensing for Trustworthy Provenance of Physical and Digital Artifacts.
On the academic job market: actively seeking faculty or postdoctoral positions.
I am a graduating Ph.D. student at the National University of Singapore (NUS), advised by Prof. Mun Choon Chan (NUS) and Prof. Jun Han (KAIST). My research sits at the intersection of ubiquitous computing, mobile sensing and computer security, with a central focus on building deployable provenance systems for physical and digital artifacts using commodity devices.
I develop mobile systems that recover and verify evidence of origin, authenticity, ownership, and transformation history for physical products used in everyday life and digital content that underpins online trust. Looking ahead, I aim to extend provenance from artifact verification to accountable human-AI workflows, so that provenance can support not only authenticity and attribution, but also auditable collaboration between humans and AI.
Beyond research, I enjoy traveling and photography, and I am a photography enthusiast.
I am on the academic job market and currently seeking faculty or postdoctoral positions.
A central premise of my research is that no single provenance signal is sufficient on its own. Beyond cryptographic records and other forms of extrinsic provenance, I study how visible physical signals, sensor fingerprints, and computational forensics provide complementary intrinsic provenance for building trustworthy systems that remain robust under adversarial manipulation. I also aim to make provenance recovery and verification practical on commodity everyday devices rather than confined to specialized laboratories or proprietary platforms. Ultimately, I seek to advance hybrid provenance systems that integrate these signals not only to verify the origin, authenticity, and transformation history of physical and digital artifacts, but also to enable accountable human-AI workflows in which transformations, interventions, and responsibility can be meaningfully audited.
[Mar 2026] đź“„Our paper "WRATH: Turning Watermark Robustness Against Itself via a Watermark-Agnostic Black-Box Invalidation Attack" was accepted to IEEE S&P Cycle 2. Acceptance rate: 12.6% (135 out of 1070). Accepted
[Aug 2025] 🏆Received the NUS SOC Dean's Graduate Research Excellence Award. Award [slides]
[Jun 2025] 🏆Our poster “CAMPrints: Leveraging the “Fingerprints” of Digital Cameras to Combat Image Theft” won the Best Poster Award at ACM MobiSys'25. Best Poster Award
[Apr 2025] 📄Our paper “CAMPrints: Leveraging the “Fingerprints” of Digital Cameras to Combat Image Theft” was accepted to ACM MobiSys'25. Accepted Presented
[Jul 2024] 📄Our paper “Can I Hear Your Face? Pervasive Attack on Voice Authentication Systems with a Single Face Image” was accepted to USENIX Security'24. Accepted Presented
[Jun 2024] 🏆Our paper “PowDew: Detecting Counterfeit Powdered Food Products using a Commodity Smartphone” won the Best Paper Award at ACM MobiSys'24. Best Paper Award
