Drenkow, Nathan

11 publications

WACV 2024 RobustCLEVR: A Benchmark and Framework for Evaluating Robustness in Object-Centric Learning Nathan Drenkow, Mathias Unberath

NeurIPSW 2023 A Sparse Null Code Emerges in Deep Neural Networks Brian S Robinson, Nathan Drenkow, Colin Conwell, Michael Bonner

WACV 2023 Do Adaptive Active Attacks Pose Greater Risk than Static Attacks? Nathan Drenkow, Max Lennon, I-Jeng Wang, Philippe Burlina

WACV 2022 Attack Agnostic Detection of Adversarial Examples via Random Subspace Analysis Nathan Drenkow, Neil Fendley, Philippe Burlina

NeurIPSW 2022 Context-Adaptive Deep Neural Networks via Bridge-Mode Connectivity Nathan Drenkow, Alvin Tan, Chace Ashcraft, Kiran Karra

NeurIPSW 2022 Cortical Transformers: Robustness and Model Compression with Multi-Scale Connectivity Properties of the Neocortex. Brian S Robinson, Nathan Drenkow

CVPRW 2021 Addressing Visual Search in Open and Closed Set Settings Nathan Drenkow, Philippe Burlina, Neil Fendley, Onyekachi Odoemene, Jared Markowitz

ICCVW 2021 Patch Attack Invariance: How Sensitive Are Patch Attacks to 3D Pose? Max Lennon, Nathan Drenkow, Philippe Burlina

ICCV 2021 Revisiting Stereo Depth Estimation from a Sequence-to-Sequence Perspective with Transformers Zhaoshuo Li, Xingtong Liu, Nathan Drenkow, Andy Ding, Francis X. Creighton, Russell H. Taylor, Mathias Unberath

ECCVW 2020 Jacks of All Trades, Masters of None: Addressing Distributional Shift and Obtrusiveness via Transparent Patch Attacks Neil Fendley, Max Lennon, I-Jeng Wang, Philippe Burlina, Nathan Drenkow

WACV 2014 Selection of Universal Features for Image Classification Pedro A. Rodriguez, Nathan Drenkow, Daniel DeMenthon, Zachary H. Koterba, Kathleen Kauffman, Duane Cornish, Bart L. Paulhamus, R. Jacob Vogelstein