My current research interests focus on Trustworthy AI and Applied Cryptography. I used to work on Chaotic Cryptography (inactive since 2014) and Compressed Sensing Secrecy (inactive since 2016). The word cloud on the right summarizes my current research focuses.

The complete list of my publications can be found here or on my Google Scholar profile.

Trustworthy AI:

Given the critical importance of trust and transparency in AI technologies, addressing security and privacy challenges associated with AI deployment becomes paramount. My research in this area focuses on the following several key aspects:

• Investigating the security and privacy issues of foundation models [ACSAC’24]
• Understanding and improving adversarial robustness [Oakland’24a], [Oakland’24c], [ICCV’23], [Asia CCS’23a], [CVPR’22]
• Designing and defeating poisoning attacks [ICML’24], [IJCAI’24a], [IJCAI’24b], [AAAI’24a], [Oakland’24b], [Acm MM’23], [IJCAI’23], [IJCAI’22]
• Preventing privacy and IP leakage [AAAI’24b], [AAAI’24c], [Asia CCS’23b]
• Improving overall performance in the presence of adversaries [TIFS’23]

Applied Cryptography:

Cryptography serves as a fundamental building block for information security, and applied cryptography aims to bridge theory and practice by studying the best practical implementation and usage of cryptographic algorithms for real-world applications. My research in this area covers the following different aspects:

• Differentially private algorithms and applications [TIFS’22]
• Privacy-preserving machine learning [TDSC’19], [ISCC’22]
• Customized multi-party computation protocols for new applications [Asia CCS’24], [ACNS’23], [TDSC’18]
• Emerging authentication methods [TVT’24], [RAID’23]