3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2024
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…
cs.LG2024★ 1 cited
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…
cs.CR2022★ 3 cited
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…