3 citations · 4 across the 4 of their papers we have counts for
4 papers
UnLearning from Experience to Avoid Spurious Correlations
Jeff Mitchell, Jesús Martínez del Rincón, Niall McLaughlin
While deep neural networks can achieve state-of-the-art performance in many tasks, these models are more fragile than they appear. They are prone to learning spurious correlations…
Hard-label based Small Query Black-box Adversarial Attack
Jeonghwan Park, Paul Miller, Niall McLaughlin
We consider the hard label based black box adversarial attack setting which solely observes predicted classes from the target model. Most of the attack methods in this setting suff…
Malceiver: Perceiver with Hierarchical and Multi-modal Features for Android Malware Detection
Niall McLaughlin
We propose the Malceiver, a hierarchical Perceiver model for Android malware detection that makes use of multi-modal features. The primary inputs are the opcode sequence and the re…
Data Augmentation for Opcode Sequence Based Malware Detection
Niall McLaughlin, Jesus Martinez del Rincon
In this paper we study data augmentation for opcode sequence based Android malware detection. Data augmentation has been successfully used in many areas of deep-learning to signifi…