Goodfellow, Ian

25 publications

ICML 2025 MONA: Myopic Optimization with Non-Myopic Approval Can Mitigate Multi-Step Reward Hacking Sebastian Farquhar, Vikrant Varma, David Lindner, David Elson, Caleb Biddulph, Ian Goodfellow, Rohin Shah

NeurIPS 2020 Enabling Certification of Verification-Agnostic Networks via Memory-Efficient Semidefinite Programming Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy R Bunel, Shreya Shankar, Jacob Steinhardt, Ian Goodfellow, Percy Liang, Pushmeet Kohli

NeurIPS 2019 A Domain Agnostic Measure for Monitoring and Evaluating GANs Paulina Grnarova, Kfir Y. Levy, Aurelien Lucchi, Nathanael Perraudin, Ian Goodfellow, Thomas Hofmann, Andreas Krause

ICLR 2019 Adversarial Reprogramming of Neural Networks Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein

ICLR 2019 Discriminator Rejection Sampling Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian Goodfellow, Augustus Odena

ICML 2019 Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition Yao Qin, Nicholas Carlini, Garrison Cottrell, Ian Goodfellow, Colin Raffel

NeurIPS 2019 MixMatch: A Holistic Approach to Semi-Supervised Learning David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, Colin A Raffel

ICML 2019 Self-Attention Generative Adversarial Networks Han Zhang, Ian Goodfellow, Dimitris Metaxas, Augustus Odena

ICML 2019 TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing Augustus Odena, Catherine Olsson, David Andersen, Ian Goodfellow

ICLR 2019 Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer David Berthelot, Colin Raffel, Aurko Roy, Ian Goodfellow

NeurIPS 2018 Adversarial Examples That Fool Both Computer Vision and Time-Limited Humans Gamaleldin Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alexey Kurakin, Ian Goodfellow, Jascha Sohl-Dickstein

ICLR 2018 Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel

ICML 2018 Is Generator Conditioning Causally Related to GAN Performance? Augustus Odena, Jacob Buckman, Catherine Olsson, Tom Brown, Christopher Olah, Colin Raffel, Ian Goodfellow

ICLR 2018 Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence at Every Step William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian Goodfellow

ICLR 2018 MaskGAN: Better Text Generation via Filling in the _______ William Fedus, Ian Goodfellow, Andrew M. Dai

NeurIPS 2018 Realistic Evaluation of Deep Semi-Supervised Learning Algorithms Avital Oliver, Augustus Odena, Colin A Raffel, Ekin Dogus Cubuk, Ian Goodfellow

NeurIPS 2018 Sanity Checks for Saliency Maps Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, Been Kim

ICLR 2018 Thermometer Encoding: One Hot Way to Resist Adversarial Examples Jacob Buckman, Aurko Roy, Colin Raffel, Ian Goodfellow

NeurIPS 2016 Improved Techniques for Training GANs Tim Salimans, Ian Goodfellow, Wojciech Zaremba, Vicki Cheung, Alec Radford, Xi Chen, Xi Chen

CVPR 2016 Improving the Robustness of Deep Neural Networks via Stability Training Stephan Zheng, Yang Song, Thomas Leung, Ian Goodfellow

NeurIPS 2016 Unsupervised Learning for Physical Interaction Through Video Prediction Chelsea Finn, Ian Goodfellow, Sergey Levine

NeurIPS 2014 Generative Adversarial Nets Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua Bengio

ICML 2013 Maxout Networks Ian Goodfellow, David Warde-Farley, Mehdi Mirza, Aaron Courville, Yoshua Bengio

NeurIPS 2013 Multi-Prediction Deep Boltzmann Machines Ian Goodfellow, Mehdi Mirza, Aaron Courville, Yoshua Bengio

NeurIPS 2009 Measuring Invariances in Deep Networks Ian Goodfellow, Honglak Lee, Quoc V. Le, Andrew Saxe, Andrew Y. Ng