Yi Xiang Marcus Tan

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 9

Top Topics

Student Progress

User Authentication

Adaboost Classifier

Top Venues

IEEE Symposium on Security and Privacy Workshops

Publications

Yi Xiang Marcus Tan, Koh Ting Yew, Joon Sern Lee
MalwareCLIP: Towards a Scalable and Explainable Image-Based Malware Classification. CCCI (2023)
Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Ngai-Man Cheung, Yuval Elovici, Alexander Binder
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples. CoRR (2021)
Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun, Yuval Elovici, Alexander Binder
Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity. CoRR (2020)
Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers. ICPR (2020)
Yi Xiang Marcus Tan, Yuval Elovici, Alexander Binder
Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks. CoRR (2019)
Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. CoRR (2019)
Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak, Yuval Elovici, Alexander Binder
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. IJCNN (2019)
Penny Chong, Yi Xiang Marcus Tan, Juan Guarnizo, Yuval Elovici, Alexander Binder
Mouse Authentication Without the Temporal Aspect - What Does a 2D-CNN Learn? IEEE Symposium on Security and Privacy Workshops (2018)
Jiamei Sun, Penny Chong, Yi Xiang Marcus Tan, Alexander Binder
ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission. CLEF (Working Notes) (2017)