Goodfellow, Ian
Google (United States)
27 papers on CoChatORCID 0000-0003-3937-2322
Most cited papers
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Generative adversarial networks
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2020) · Communications of the ACM
Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning
Cited by 18,384
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Explaining and Harnessing Adversarial Examples
Goodfellow, I. J., Shlens, J., & Szegedy, C. (2014) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 10,381
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TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G. S., Davis, A., Dean, J., Devin, M., et al. (2016) · arXiv
Parallel Computing and Optimization TechniquesCloud Computing and Resource Management
Cited by 9,408
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Intriguing properties of neural networks
Szegedy, C., Zaremba, W., Sutskever, I., Bruna, J., Erhan, D., Goodfellow, I., & Fergus, R. (2013) · arXiv
Adversarial Robustness in Machine LearningNeural Networks and Applications
Cited by 8,143
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Improved Techniques for Training GANs
Salimans, T., Goodfellow, I., Zaremba, W., Cheung, V., Radford, A., & Chen, X. (2016) · arXiv
Generative Adversarial Networks and Image SynthesisDomain Adaptation and Few-Shot Learning
Cited by 6,965
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Deep Learning with Differential Privacy
Abadi, M., Chu, A., Goodfellow, I., McMahan, H. B., Mironov, I., Talwar, K., & Zhang, L. (2016) · Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security
Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques
Cited by 6,578
- Verified · note
Adversarial examples in the physical world
Kurakin, A., Goodfellow, I. J., & Bengio, S. (2018) · Artificial Intelligence Safety and Security
Adversarial Robustness in Machine LearningDigital Media Forensic Detection
Cited by 5,375
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Generative Adversarial Networks
Goodfellow, I. J., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., Courville, A., & Bengio, Y. (2014) · arXiv
Generative Adversarial Networks and Image SynthesisTopic Modeling
Cited by 4,477
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Practical Black-Box Attacks against Machine Learning
Papernot, N., McDaniel, P., Goodfellow, I., Jha, S., Celik, Z. B., & Swami, A. (2017) · Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 3,495
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Self-Attention Generative Adversarial Networks
Zhang, H., Goodfellow, I., Metaxas, D., & Odena, A. (2018) · arXiv
Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications
Cited by 3,353
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Adversarial machine learning at scale
Kurakin, A., Goodfellow, I., & Bengio, S. (2016) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 2,325
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Ensemble Adversarial Training: Attacks and Defenses
Tramèr, F., Kurakin, A., Papernot, N., Goodfellow, I., Boneh, D., & McDaniel, P. (2017) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 2,176
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Challenges in Representation Learning: A Report on Three Machine Learning Contests
Goodfellow, I. J., Erhan, D., Carrier, P. L., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D.-H., et al. (2013) · Lecture Notes in Computer Science
Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification
Cited by 1,719
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Adversarial Autoencoders
Makhzani, A., Shlens, J., Jaitly, N., Goodfellow, I., & Frey, B. (2015) · arXiv
Generative Adversarial Networks and Image SynthesisAdversarial Robustness in Machine Learning
Cited by 1,579
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Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Papernot, N., McDaniel, P., & Goodfellow, I. (2016) · arXiv
Adversarial Robustness in Machine LearningSecurity and Verification in Computing
Cited by 1,326
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Sanity Checks for Saliency Maps
Adebayo, J., Gilmer, J., Muelly, M., Goodfellow, I., Hardt, M., & Kim, B. (2018) · arXiv
Explainable Artificial Intelligence (XAI)Visual Attention and Saliency Detection
Cited by 1,294
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An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Goodfellow, I. J., Mirza, M., Xiao, D., Courville, A., & Bengio, Y. (2013) · arXiv
Domain Adaptation and Few-Shot LearningNeural Networks and Applications
Cited by 1,089
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Theano: new features and speed improvements
Bastien, F., Lamblin, P., Pascanu, R., Bergstra, J., Goodfellow, I., Bergeron, A., Bouchard, N., Warde-Farley, D., & Bengio, Y. (2012) · arXiv
Parallel Computing and Optimization TechniquesNeural Networks and Applications
Cited by 1,005
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Maxout Networks
Goodfellow, I. J., Warde-Farley, D., Mirza, M., Courville, A., & Bengio, Y. (2013) · arXiv
Neural Networks and ApplicationsAdvanced Neural Network Applications
Cited by 935
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Realistic Evaluation of Deep Semi-Supervised Learning Algorithms
Oliver, A., Odena, A., Raffel, C., Cubuk, E. D., & Goodfellow, I. J. (2018) · arXiv
Machine Learning and AlgorithmsDomain Adaptation and Few-Shot Learning
Cited by 772
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Unsupervised Learning for Physical Interaction through Video Prediction
Finn, C., Goodfellow, I., & Levine, S. (2016) · arXiv
Reinforcement Learning in RoboticsRobot Manipulation and Learning
Cited by 759
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Challenges in representation learning: A report on three machine learning contests
Goodfellow, I. J., Erhan, D., Luc Carrier, P., Courville, A., Mirza, M., Hamner, B., Cukierski, W., Tang, Y., Thaler, D., Lee, D.-H., et al. (2015) · Neural Networks
Domain Adaptation and Few-Shot LearningMachine Learning and Data Classification
Cited by 697
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Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
Goodfellow, I. J., Bulatov, Y., Ibarz, J., Arnoud, S., & Shet, V. (2013) · arXiv
Handwritten Text Recognition TechniquesVehicle License Plate Recognition
Cited by 582
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Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Papernot, N., Abadi, M., Erlingsson, Ú., Goodfellow, I., & Talwar, K. (2016) · arXiv
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 492
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