1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2026
Adversarial Samples Are Not Created Equal
Jennifer Crawford, Amol Khanna, Fred Lu +4
Over the past decade, numerous theories have been proposed to explain the widespread vulnerability of deep neural networks to adversarial evasion attacks. Among these, the theory o…
cs.CV2023★ 1 cited
UniCat: Crafting a Stronger Fusion Baseline for Multimodal Re-Identification
Jennifer Crawford, Haoli Yin, Luke McDermott +1
Multimodal Re-Identification (ReID) is a popular retrieval task that aims to re-identify objects across diverse data streams, prompting many researchers to integrate multiple modal…