About Me

Here is Aolin Ding. I am a Security Research Scientist and Manager at Accenture. I lead a team designing and evaluating the security technologies to reveal critical security vulnerabilities in modern cyber-physical and AI-driven systems. My team was among the first worldwide to systematically expose and publish successful adversarial exploits of large reasoning models (LRMs) in collaboration with university partners — as reported by The Register. Previously, I worked as a Security R&D Associate Principal at Accenture Labs, focusing on AI system safety, PII protection, and privacy-preserving ML.

I obtained my Ph.D. in Electrical and Computer Engineering from Rutgers University in 2022 under the guidance of Prof. Saman Zonouz – who is now at Georgia Tech. I previously worked as a Research Intern at Accenture Labs and MERL for over a year. I received my B.E. degree in Electrical Engineering from UESTC in 2015.

• Email:

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Research Interests

• My research focuses on the security of cyber-physical systems, industrial IoT, and embedded systems. In these domains, I leverage a combination of software analysis, physics-based monitoring, and machine learning approaches to develop novel security solutions.

• As AI components have become deeply embedded in these same systems, my research has extended to encompass AI systems security, including the security assessment, safety evaluation, and privacy defense of agentic and autonomous AI systems.

I have an established track record of publications and peer review service at premier security and AI venues.