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Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming


Nov 03, 2020
Sumanth Dathathri, Krishnamurthy Dvijotham, Alexey Kurakin, Aditi Raghunathan, Jonathan Uesato, Rudy Bunel, Shreya Shankar, Jacob Steinhardt, Ian Goodfellow, Percy Liang, Pushmeet Kohli


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Creating High Resolution Images with a Latent Adversarial Generator


Mar 04, 2020
David Berthelot, Peyman Milanfar, Ian Goodfellow


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MixMatch: A Holistic Approach to Semi-Supervised Learning


May 06, 2019
David Berthelot, Nicholas Carlini, Ian Goodfellow, Nicolas Papernot, Avital Oliver, Colin Raffel


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Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition


Mar 22, 2019
Yao Qin, Nicholas Carlini, Ian Goodfellow, Garrison Cottrell, Colin Raffel


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A Research Agenda: Dynamic Models to Defend Against Correlated Attacks


Mar 14, 2019
Ian Goodfellow


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On Evaluating Adversarial Robustness


Feb 20, 2019
Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian Goodfellow, Aleksander Madry, Alexey Kurakin

* Living document; source available at https://github.com/evaluating-adversarial-robustness/adv-eval-paper/ 

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New CleverHans Feature: Better Adversarial Robustness Evaluations with Attack Bundling


Nov 08, 2018
Ian Goodfellow


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Sanity Checks for Saliency Maps


Oct 28, 2018
Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, Been Kim

* NIPS 2018 Camera Ready Version 

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Discriminator Rejection Sampling


Oct 18, 2018
Samaneh Azadi, Catherine Olsson, Trevor Darrell, Ian Goodfellow, Augustus Odena


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Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values


Oct 08, 2018
Julius Adebayo, Justin Gilmer, Ian Goodfellow, Been Kim

* Workshop Track International Conference on Learning Representations (ICLR) 

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Unrestricted Adversarial Examples


Sep 22, 2018
Tom B. Brown, Nicholas Carlini, Chiyuan Zhang, Catherine Olsson, Paul Christiano, Ian Goodfellow


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Adversarial Spheres


Sep 10, 2018
Justin Gilmer, Luke Metz, Fartash Faghri, Samuel S. Schoenholz, Maithra Raghu, Martin Wattenberg, Ian Goodfellow


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Skill Rating for Generative Models


Aug 14, 2018
Catherine Olsson, Surya Bhupatiraju, Tom Brown, Augustus Odena, Ian Goodfellow


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TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing


Jul 28, 2018
Augustus Odena, Ian Goodfellow

* Preprint - work in progress 

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Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer


Jul 23, 2018
David Berthelot, Colin Raffel, Aurko Roy, Ian Goodfellow


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Ensemble Adversarial Training: Attacks and Defenses


Jul 22, 2018
Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel

* 20 pages, 5 figures, International Conference on Learning Representations (ICLR) 2018 

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Motivating the Rules of the Game for Adversarial Example Research


Jul 20, 2018
Justin Gilmer, Ryan P. Adams, Ian Goodfellow, David Andersen, George E. Dahl


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Adversarial Reprogramming of Neural Networks


Jun 28, 2018
Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein


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Technical Report on the CleverHans v2.1.0 Adversarial Examples Library


Jun 27, 2018
Nicolas Papernot, Fartash Faghri, Nicholas Carlini, Ian Goodfellow, Reuben Feinman, Alexey Kurakin, Cihang Xie, Yash Sharma, Tom Brown, Aurko Roy, Alexander Matyasko, Vahid Behzadan, Karen Hambardzumyan, Zhishuai Zhang, Yi-Lin Juang, Zhi Li, Ryan Sheatsley, Abhibhav Garg, Jonathan Uesato, Willi Gierke, Yinpeng Dong, David Berthelot, Paul Hendricks, Jonas Rauber, Rujun Long, Patrick McDaniel

* Technical report for https://github.com/tensorflow/cleverhans 

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Is Generator Conditioning Causally Related to GAN Performance?


Jun 19, 2018
Augustus Odena, Jacob Buckman, Catherine Olsson, Tom B. Brown, Christopher Olah, Colin Raffel, Ian Goodfellow


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Defense Against the Dark Arts: An overview of adversarial example security research and future research directions


Jun 11, 2018
Ian Goodfellow


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Adversarial Examples that Fool both Computer Vision and Time-Limited Humans


May 22, 2018
Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung, Nicolas Papernot, Alex Kurakin, Ian Goodfellow, Jascha Sohl-Dickstein


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Self-Attention Generative Adversarial Networks


May 21, 2018
Han Zhang, Ian Goodfellow, Dimitris Metaxas, Augustus Odena


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Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size


Apr 21, 2018
Ian Goodfellow


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Adversarial Attacks and Defences Competition


Mar 31, 2018
Alexey Kurakin, Ian Goodfellow, Samy Bengio, Yinpeng Dong, Fangzhou Liao, Ming Liang, Tianyu Pang, Jun Zhu, Xiaolin Hu, Cihang Xie, Jianyu Wang, Zhishuai Zhang, Zhou Ren, Alan Yuille, Sangxia Huang, Yao Zhao, Yuzhe Zhao, Zhonglin Han, Junjiajia Long, Yerkebulan Berdibekov, Takuya Akiba, Seiya Tokui, Motoki Abe

* 36 pages, 10 figures 

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Adversarial Logit Pairing


Mar 16, 2018
Harini Kannan, Alexey Kurakin, Ian Goodfellow

* 10 pages 

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MaskGAN: Better Text Generation via Filling in the______


Mar 01, 2018
William Fedus, Ian Goodfellow, Andrew M. Dai

* 16 pages, ICLR 2018 

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Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step


Feb 20, 2018
William Fedus, Mihaela Rosca, Balaji Lakshminarayanan, Andrew M. Dai, Shakir Mohamed, Ian Goodfellow

* 18 pages 

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On the Protection of Private Information in Machine Learning Systems: Two Recent Approaches


Aug 26, 2017
Martín Abadi, Úlfar Erlingsson, Ian Goodfellow, H. Brendan McMahan, Ilya Mironov, Nicolas Papernot, Kunal Talwar, Li Zhang

* IEEE 30th Computer Security Foundations Symposium (CSF), pages 1--6, 2017 

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