Generative adversarial networks I Goodfellow, J Pouget-Abadie, M Mirza, B Xu, D Warde-Farley, S Ozair, ... Advances in neural information processing systems 27, 2014 | 79045* | 2014 |
Deep learning I Goodfellow, Y Bengio, A Courville MIT press, 2016 | 66431 | 2016 |
TensorFlow: Large-scale machine learning on heterogeneous systems M Abadi, A Agarwal, P Barham, E Brevdo, Z Chen, C Citro, GS Corrado, ... | 30493* | 2015 |
Explaining and Harnessing Adversarial Examples I Goodfellow, J Shlens, C Szegedy ICLR, 2014 | 21040 | 2014 |
Intriguing properties of neural networks C Szegedy, W Zaremba, I Sutskever, J Bruna, D Erhan, I Goodfellow, ... arXiv preprint arXiv:1312.6199, 2013 | 16736 | 2013 |
Improved techniques for training gans T Salimans, I Goodfellow, W Zaremba, V Cheung, A Radford, X Chen Advances in neural information processing systems 29, 2016 | 10351 | 2016 |
Adversarial examples in the physical world A Kurakin, IJ Goodfellow, S Bengio Artificial intelligence safety and security, 99-112, 2018 | 6335 | 2018 |
Deep learning with differential privacy M Abadi, A Chu, I Goodfellow, HB McMahan, I Mironov, K Talwar, L Zhang Proceedings of the 2016 ACM SIGSAC conference on computer and communications …, 2016 | 6168 | 2016 |
Self-attention generative adversarial networks H Zhang, I Goodfellow, D Metaxas, A Odena International conference on machine learning, 7354-7363, 2019 | 4618 | 2019 |
Practical black-box attacks against machine learning N Papernot, P McDaniel, I Goodfellow, S Jha, ZB Celik, A Swami Proceedings of the 2017 ACM on Asia conference on computer and …, 2017 | 4025 | 2017 |
Adversarial machine learning at scale A Kurakin, I Goodfellow, S Bengio arXiv preprint arXiv:1611.01236, 2016 | 3471 | 2016 |
Mixmatch: A holistic approach to semi-supervised learning D Berthelot, N Carlini, I Goodfellow, N Papernot, A Oliver, CA Raffel Advances in neural information processing systems 32, 2019 | 3337 | 2019 |
Adversarial autoencoders A Makhzani, J Shlens, N Jaitly, I Goodfellow, B Frey arXiv preprint arXiv:1511.05644, 2015 | 3286 | 2015 |
Ensemble adversarial training: Attacks and defenses F Tramèr, A Kurakin, N Papernot, I Goodfellow, D Boneh, P McDaniel arXiv preprint arXiv:1705.07204, 2017 | 3144 | 2017 |
Maxout networks I Goodfellow, D Warde-Farley, M Mirza, A Courville, Y Bengio International conference on machine learning, 1319-1327, 2013 | 3131 | 2013 |
Nips 2016 tutorial: Generative adversarial networks I Goodfellow arXiv preprint arXiv:1701.00160, 2016 | 2602 | 2016 |
Sanity checks for saliency maps J Adebayo, J Gilmer, M Muelly, I Goodfellow, M Hardt, B Kim Advances in neural information processing systems 31, 2018 | 2137 | 2018 |
Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... Neural information processing: 20th international conference, ICONIP 2013 …, 2013 | 2042 | 2013 |
Transferability in machine learning: from phenomena to black-box attacks using adversarial samples N Papernot, P McDaniel, I Goodfellow arXiv preprint arXiv:1605.07277, 2016 | 1965 | 2016 |
Theano: new features and speed improvements F Bastien, P Lamblin, R Pascanu, J Bergstra, I Goodfellow, A Bergeron, ... arXiv preprint arXiv:1211.5590, 2012 | 1688 | 2012 |