Bangjie Sun

Bangjie SUN

Research Fellow, Ph.D., from National University of Singapore

Mobile AI for safety- and trust-critical real-world problems

About Me

View CV

I am a Research Fellow at the National University of Singapore (NUS), where I completed my Ph.D., advised by Prof. Mun Choon Chan (NUS) and Prof. Jun Han (KAIST). My research sits at the intersection of mobile sensing and applied artificial intelligence, with a focus on safety- and trust-critical real-world problems. At its core, I build ubiquitous and physically grounded intelligent systems — deployable on commodity devices — to foster trust in authenticity, safety, ownership, and accountability when everyday users and consumers interact with products, information, and AI across the physical and digital worlds.

Looking ahead, I aim to advance intelligent systems in two directions: toward accountable human-AI workflows, where trust is built through auditable collaboration between humans and AI; and toward trustworthy physical AI systems, where AI agents make reliable and accountable decisions in the physical world.

Beyond research, I enjoy traveling and photography, and I am a photography enthusiast; some of my photography artworks are collected in the Gallery.

Recent News

2026

Aug

I successfully defended my Ph.D. thesis. I am deeply grateful to my advisors, Prof. Mun Choon Chan and Prof. Jun Han, for their guidance throughout my Ph.D. journey, and to my family, friends, and colleagues for their unwavering support through its highs and lows.

Jun

I received the Best Presentation Award at the ACM MobiSys'26 Rising Stars Forum. I am grateful for the community's recognition of my research on widely usable and trustworthy provenance. Read the NUS Computing feature.

May

I was selected as the ACM MobiSys Rising Star 2026 for research on building widely usable provenance systems using mobile devices.
Our paper "What Do Neighbors Know? Open-World Semantic Inference Attack on Intermediate Representations" was accepted to NetAISys'26 co-located with MobiSys'26 in Cambridge.
Our poster "Poster: Discovering Unanticipated Semantic Leakage from Intermediate Representations" was accepted to ACM MobiSys'26.

Apr

Our paper "RD-PHash: A Robustness Enhancement for DCT-Based Perceptual Hashing against Adversarial Bit-Flipping Attacks" was accepted to ArtSec'26 co-located with IEEE S&P.

Mar

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).

2025

Aug

Received the NUS SOC Dean's Graduate Research Excellence Award. [slides]

Jun

Our poster “CAMPrints: Leveraging the “Fingerprints” of Digital Cameras to Combat Image Theft” won the Best Poster Award at ACM MobiSys'25.

Apr

Our paper “CAMPrints: Leveraging the “Fingerprints” of Digital Cameras to Combat Image Theft” was accepted to ACM MobiSys'25.

Connect

bangjie at nus dot edu dot sg Google Scholar LinkedIn GitHub ResearchGate ORCID Instagram