Academic Profile : Faculty
Assoc Prof Zhang Tianwei
Associate Professor, College of Computing & Data Science
Deputy Director for Cyber Security Research Centre @ NTU (CYSREN), Cyber Security Research Centre @ NTU (CYSREN)
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Dr. Tianwei Zhang received his Bachelor’s degree in physics at Peking University, in 2011, and the Ph.D degree in Electrical Engineering at Princeton University in 2017. He worked at Amazon as a software engineer from 2017 to 2019. He joined Nanyang Technological University as an assistant professor in 2019. He has published papers in top-tier architecture and security conferences and journals. He has served on the Program Committee of many conferences, and reviewers of journals.
Dr. Zhang's research focuses on computer system and architecture security. Specifically,
* Distributed system security: he is interested in building secure and flexible frameworks for attesting and protecting distributed systems, including cloud computing, IoT, robotic platforms, etc.
* Machine learning security: he is interested in exploring security threats in deep learning platforms, and defense solutions.
* Attacks and defenses: he is interested in designing system-level attacks, and methodologies of defeating sophisticated attacks.
* Security analysis: he is interested in designing novel methodologies of measuring and quantifying system and architecture security.
* Distributed system security: he is interested in building secure and flexible frameworks for attesting and protecting distributed systems, including cloud computing, IoT, robotic platforms, etc.
* Machine learning security: he is interested in exploring security threats in deep learning platforms, and defense solutions.
* Attacks and defenses: he is interested in designing system-level attacks, and methodologies of defeating sophisticated attacks.
* Security analysis: he is interested in designing novel methodologies of measuring and quantifying system and architecture security.
- TRUSTWORTHY AI CENTRE NTU (TAICeN) (NUS)
- Cyber Sentinel: A Unified Framework for Safeguarding Foundation Models
- Towards Building Unified Autonomous Vehicle Scene Representation for Physical AV Adversarial Attacks and Visual Robustness Enhancement
- TRUSTWORTHY AI CENTRE NTU (TAICeN) (NTU)
- Human mesh reconstruction, Learning from small datasets, Self-supervised learning
- Combatting Prejudice in AI: A Responsible AI Framework for Continual Fairness Testing, Repair, and Transfer
- TRUSTWORTHY AI CENTRE NTU (TAICeN) (SMU)
- TRUSTWORTHY AI CENTRE NTU (TAICeN)
- Securing Face Recognition: An Imaging Polarimetry Approach to Face Anti-spoofing
- Secure, Private, and Verified Data Sharing for Large Model Training and Deployment
- A Framework for Intellectual Property Protection of Deep Learning Applications