ImageCLEF 2017: ImageCLEF Tuberculosis Task - the SGEast Submission. - Jiamei Sun; Penny Chong; Yi Xiang Marcus Tan; Alexander Binder (CLEF (Working Notes), 2017)

Mouse Authentication Without the Temporal Aspect - What Does a 2D-CNN Learn? - Penny Chong; Yi Xiang Marcus Tan; Juan Guarnizo; Yuval Elovici; Alexander Binder (IEEE Symposium on Security and Privacy Workshops, 2018)

Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics. - Yi Xiang Marcus Tan; Alfonso Iacovazzi; Ivan Homoliak; Yuval Elovici; Alexander Binder (IJCNN, 2019)

Exploring the Back Alleys: Analysing The Robustness of Alternative Neural Network Architectures against Adversarial Attacks. - Yi Xiang Marcus Tan; Yuval Elovici; Alexander Binder (CoRR, 2019)

Adaptive Noise Injection for Training Stochastic Student Networks from Deterministic Teachers. - Yi Xiang Marcus Tan; Yuval Elovici; Alexander Binder (ICPR, 2020)

Detection of Adversarial Supports in Few-shot Classifiers Using Feature Preserving Autoencoders and Self-Similarity. - Yi Xiang Marcus Tan; Penny Chong; Jiamei Sun; Yuval Elovici; Alexander Binder (CoRR, 2020)

Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples. - Yi Xiang Marcus Tan; Penny Chong; Jiamei Sun; Ngai-Man Cheung; Yuval Elovici; Alexander Binder (CoRR, 2021)

MalwareCLIP: Towards a Scalable and Explainable Image-Based Malware Classification. - Yi Xiang Marcus Tan; Koh Ting Yew; Joon Sern Lee (CCCI, 2023)