Anh Totti Nguyen
Anh Totti Nguyen
Associate Professor, Auburn University
Verified email at - Homepage
Cited by
Cited by
Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
A Nguyen, J Yosinski, J Clune
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
Understanding Neural Networks Through Deep Visualization
J Yosinski, J Clune, A Nguyen, T Fuchs, H Lipson
Deep Learning workshop, ICML '15, 2015
Automatically identifying wild animals in camera trap images with deep learning
M Norouzzadeh, A Nguyen, M Kosmala, A Swanson, C Parker, J Clune
Proceedings of the National Academy of Sciences 115 (25), 5716-5725, 2018
Plug & play generative networks: Conditional iterative generation of images in latent space
A Nguyen, J Clune, Y Bengio, A Dosovitskiy, J Yosinski
Computer Vision and Pattern Recognition (CVPR), 2017 IEEE Conference on …, 2017
Synthesizing the preferred inputs for neurons in neural networks via deep generator networks
A Nguyen, A Dosovitskiy, J Yosinski, T Brox, J Clune
Advances in neural information processing systems 29, 3387-3395, 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
A Nguyen, J Yosinski, J Clune
Visualization for Deep Learning workshop, ICML 2016, 2016
Strike (with) a Pose: Neural Networks Are Easily Fooled by Strange Poses of Familiar Objects
M Alcorn, L Qi, Z Gong, C Wang, L Mai, W Ku, A Nguyen
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
The surprising creativity of digital evolution: A collection of anecdotes from the evolutionary computation and artificial life research communities
J Lehman, J Clune, D Misevic, C Adami, L Altenberg, J Beaulieu, ...
arXiv preprint arXiv:1803.03453, 2018
Understanding neural networks via feature visualization: A survey
A Nguyen, J Yosinski, J Clune
Explainable AI: Interpreting, Explaining and Visualizing Deep Learning, 55-76, 2019
Innovation engines: Automated creativity and improved stochastic optimization via deep learning
A Nguyen, J Yosinski, J Clune
Proceedings of the 2015 Annual Conference on Genetic and Evolutionary …, 2015
Out of Order: How important is the sequential order of words in a sentence in Natural Language Understanding tasks?
TM Pham, T Bui, L Mai, A Nguyen
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
SAM: The Sensitivity of Attribution Methods to Hyperparameters
N Bansal, C Agarwal, A Nguyen
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
The effectiveness of feature attribution methods and its correlation with automatic evaluation scores
G Nguyen, D Kim, A Nguyen
Conference on Neural Information Processing Systems (NeurIPS), 2021
Explaining image classifiers by removing input features using generative models
C Agarwal, A Nguyen
Proceedings of the Asian Conference on Computer Vision, 2020
Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning
A Nguyen, J Yosinski, J Clune
Evolutionary Computation 24 (3), 545-572, 2016
3DTouch: A wearable 3D input device for 3D applications
A Nguyen, A Banic
2015 IEEE Virtual Reality (VR), 55-61, 2015
Visual correspondence-based explanations improve AI robustness and human-AI team accuracy
MR Taesiri, G Nguyen, A Nguyen
Advances in Neural Information Processing Systems, 2022
VectorDefense: Vectorization as a Defense to Adversarial Examples
VM Kabilan, B Morris, A Nguyen
arXiv preprint arXiv:1804.08529, 2018
3DTouch: Towards a Wearable 3D Input Device for 3D Applications
A Nguyen
University of Wyoming, 2014
Improving Robustness to Adversarial Examples by Encouraging Discriminative Features
C Agarwal, A Nguyen, D Schonfeld
2019 IEEE International Conference on Image Processing (ICIP), 3801-3505, 2019
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