no code implementations • 16 Apr 2024 • Matthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen
Our method also excels in low-data settings, outperforming supervised baselines using a fraction of the training data.
no code implementations • 23 Aug 2022 • Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen
Current state-of-the-art object proposal networks are trained with a closed-world assumption, meaning they learn to only detect objects of the training classes.
no code implementations • 17 Mar 2021 • Matthew Inkawhich, Nathan Inkawhich, Eric Davis, Hai Li, Yiran Chen
Over recent years, a myriad of novel convolutional network architectures have been developed to advance state-of-the-art performance on challenging recognition tasks.
no code implementations • NeurIPS 2020 • Nathan Inkawhich, Kevin J Liang, Binghui Wang, Matthew Inkawhich, Lawrence Carin, Yiran Chen
We consider the blackbox transfer-based targeted adversarial attack threat model in the realm of deep neural network (DNN) image classifiers.
1 code implementation • 28 May 2019 • Matthew Inkawhich, Yiran Chen, Hai Li
In these snooping threat models, the adversary does not have the ability to interact with the target agent's environment, and can only eavesdrop on the action and reward signals being exchanged between agent and environment.
no code implementations • ICLR 2019 • Nathan Inkawhich, Matthew Inkawhich, Yiran Chen, Hai Li
The success of deep learning research has catapulted deep models into production systems that our society is becoming increasingly dependent on, especially in the image and video domains.