167 citations · 182 across the 6 of their papers we have counts for
6 papers
Discovering Transferable Forensic Features for CNN-generated Images Detection
Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Alexander Binder +1
Visual counterfeits are increasingly causing an existential conundrum in mainstream media with rapid evolution in neural image synthesis methods. Though detection of such counterfe…
Towards A Conceptually Simple Defensive Approach for Few-shot classifiers Against Adversarial Support Samples
Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun +3
Few-shot classifiers have been shown to exhibit promising results in use cases where user-provided labels are scarce. These models are able to learn to predict novel classes simply…
Detection of Adversarial Supports in Few-shot Classifiers Using Self-Similarity and Filtering
Yi Xiang Marcus Tan, Penny Chong, Jiamei Sun +3
Few-shot classifiers excel under limited training samples, making them useful in applications with sparsely user-provided labels. Their unique relative prediction setup offers oppo…
Toward Scalable and Unified Example-based Explanation and Outlier Detection
Penny Chong, Ngai-Man Cheung, Yuval Elovici +1
When neural networks are employed for high-stakes decision-making, it is desirable that they provide explanations for their prediction in order for us to understand the features th…
Resolving challenges in deep learning-based analyses of histopathological images using explanation methods
Miriam Hägele, Philipp Seegerer, Sebastian Lapuschkin +5
Deep learning has recently gained popularity in digital pathology due to its high prediction quality. However, the medical domain requires explanation and insight for a better unde…
Adversarial Attacks on Remote User Authentication Using Behavioural Mouse Dynamics
Yi Xiang Marcus Tan, Alfonso Iacovazzi, Ivan Homoliak +2
Mouse dynamics is a potential means of authenticating users. Typically, the authentication process is based on classical machine learning techniques, but recently, deep learning te…