Adrian Shuai Li

15 papers A* 1C 2Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LFreeDA: Label-Free Drift Adaptation for Windows Malware Detection. CoRR Adrian Shuai Li, Elisa Bertino
2025	J	`jnl`	LLMalMorph: On The Feasibility of Generating Variant Malware using Large-Language-Models. CoRR Md Ajwad Akil, Adrian Shuai Li, Imtiaz Karim, Arun Iyengar, Ashish Kundu, Vinny Parla, Elisa Bertino
2025	—	`conf`	LLMalMorph: On the Feasibility of Generating Variant Malware Using Large-Language-Models. TPS-ISA Md Ajwad Akil, Adrian Shuai Li, Imtiaz Karim, Arun Iyengar, Ashish Kundu, Vinny Parla, Elisa Bertino
2025	—	`conf`	Maximizing Information in Domain-Invariant Representation Improves Transfer Learning. CIC Adrian Shuai Li, Elisa Bertino, Xuan-Hong Dang, Ankush Singla, Yuhai Tu, Mark N. Wegman
2025	A*	`conf`	Revisiting Concept Drift in Windows Malware Detection: Adaptation to Real Drifted Malware with Minimal Samples. NDSS Adrian Shuai Li, Arun Iyengar, Ashish Kundu, Elisa Bertino
2024	C	`conf`	Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry Data. INDIN Mir Imtiaz Mostafiz, Eunseob Kim, Adrian Shuai Li, Elisa Bertino, Martin Byung-Guk Jun, Ali Shakouri
2024	J	`jnl`	Adversarial Domain Adaptation for Metal Cutting Sound Detection: Leveraging Abundant Lab Data for Scarce Industry Data. CoRR Mir Imtiaz Mostafiz, Eunseob Kim, Adrian Shuai Li, Elisa Bertino, Martin Byung-Guk Jun, Ali Shakouri
2024	J	`jnl`	Improving Malware Detection with Adversarial Domain Adaptation and Control Flow Graphs. CoRR Adrian Shuai Li, Arun Iyengar, Ashish Kundu, Elisa Bertino
2024	J	`jnl`	Overcoming the lack of labeled data: Training malware detection models using adversarial domain adaptation. Comput. Secur. Sonam Bhardwaj, Adrian Shuai Li, Mayank Dave, Elisa Bertino
2024	J	`jnl`	Transfer Learning for Security: Challenges and Future Directions. CoRR Adrian Shuai Li, Arun Iyengar, Ashish Kundu, Elisa Bertino
2023	—	`conf`	Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation. ICIT Adrian Shuai Li, Elisa Bertino, Rih-Teng Wu, Ting-Yan Wu
2023	J	`jnl`	Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation. CoRR Adrian Shuai Li, Elisa Bertino, Rih-Teng Wu, Ting-Yan Wu
2023	J	`jnl`	Maximal Domain Independent Representations Improve Transfer Learning. CoRR Adrian Shuai Li, Elisa Bertino, Xuan-Hong Dang, Ankush Singla, Yuhai Tu, Mark N. Wegman
2022	C	`conf`	A Capability-based Distributed Authorization System to Enforce Context-aware Permission Sequences. SACMAT Adrian Shuai Li, Reihaneh Safavi-Naini, Philip W. L. Fong
2022	J	`jnl`	A Capability-based Distributed Authorization System to Enforce Context-aware Permission Sequences. CoRR Adrian Shuai Li, Reihaneh Safavi-Naini, Philip W. L. Fong