A Capability-based Distributed Authorization System to Enforce Context-aware Permission Sequences. - Adrian Shuai Li; Reihaneh Safavi-Naini; Philip W. L. Fong (SACMAT, 2022)

Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation. - Adrian Shuai Li; Elisa Bertino; Rih-Teng Wu; Ting-Yan Wu (ICIT, 2023)

Maximal Domain Independent Representations Improve Transfer Learning. - Adrian Shuai Li; Elisa Bertino; Xuan-Hong Dang; Ankush Singla; Yuhai Tu; Mark N. Wegman (CoRR, 2023)

Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry Data. - Mir Imtiaz Mostafiz; Eunseob Kim; Adrian Shuai Li; Elisa Bertino; Martin Byung-Guk Jun; Ali Shakouri (INDIN, 2024)

Overcoming the lack of labeled data: Training malware detection models using adversarial domain adaptation. - Sonam Bhardwaj; Adrian Shuai Li; Mayank Dave; Elisa Bertino (Comput. Secur., 2024)

Transfer Learning for Security: Challenges and Future Directions. - Adrian Shuai Li; Arun Iyengar; Ashish Kundu; Elisa Bertino (CoRR, 2024)

Improving Malware Detection with Adversarial Domain Adaptation and Control Flow Graphs. - Adrian Shuai Li; Arun Iyengar; Ashish Kundu; Elisa Bertino (CoRR, 2024)

Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples. - Adrian Shuai Li; Arun Iyengar; Ashish Kundu; Elisa Bertino (NDSS, 2025)

LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models. - Md Ajwad Akil; Adrian Shuai Li; Imtiaz Karim; Arun Iyengar; Ashish Kundu; Vinny Parla; Elisa Bertino (CoRR, 2025)