Ian Goodfellow

Computer Science · Physical Sciences

63h-index80.4kcitations110works0.02yr avg
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Research Topics

Adversarial Robustness in Machine Learning(51), Anomaly Detection Techniques and Applications(24), Generative Adversarial Networks and Image Synthesis(17), Domain Adaptation and Few-Shot Learning(17), Advanced Malware Detection Techniques(16)

Publications110 total

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
arXiv (Cornell University)·2025Open Access
Author Correction: Subtle adversarial image manipulations influence both human and machine perception
Nature Communications·2024Open Access
Subtle adversarial image manipulations influence both human and machine perception
Nature Communications·2023· 13 citedOpen Access
Generative adversarial networks
Communications of the ACM·2020· 12.8k citedOpen Access
Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
arXiv (Cornell University)·2020· 14 citedOpen Access
Creating High Resolution Images with a Latent Adversarial Generator
arXiv (Cornell University)·2020· 10 citedOpen Access
Proceedings of the Fourth Workshop on Neural Generation and Translation
2020· 6 citedOpen Access
Adversarial examples influence human visual perception
Journal of Vision·2019· 4 citedOpen Access
MixMatch: A Holistic Approach to Semi-Supervised Learning
arXiv (Cornell University)·2019· 604 citedOpen Access
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
arXiv (Cornell University)·2019· 176 citedOpen Access
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
arXiv (Cornell University)·2019· 109 citedOpen Access
A Research Agenda: Dynamic Models to Defend Against Correlated Attacks
arXiv (Cornell University)·2019· 12 citedOpen Access
On Evaluating Adversarial Robustness
arXiv (Cornell University)·2019· 580 citedOpen Access
Improving Interpolation in Autoencoders
2019· 1 cited
Proceedings of the First Workshop on NLP for Conversational AI
2019· 6 citedOpen Access
A domain agnostic measure for monitoring and evaluating GANs
arXiv (Cornell University)·2018· 24 citedOpen Access
New CleverHans Feature: Better Adversarial Robustness Evaluations with Attack Bundling
arXiv (Cornell University)·2018· 2 citedOpen Access
Discriminator Rejection Sampling
arXiv (Cornell University)·2018· 27 citedOpen Access
Deep Learning. Das umfassende Handbuch
2018· 4 cited
Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values
arXiv (Cornell University)·2018· 22 citedOpen Access
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Frequent Co-authors

Yoshua Bengio(12), Nicolas Papernot(12), Aaron Courville(10), Mehdi Mirza(8), Patrick McDaniel(8), David Warde-Farley(7), Alexey Kurakin(6), James Bergstra(5), Jonathon Shlens(4), Nicholas Carlini(4), Colin Raffel(4), Martı́n Abadi(3), Kunal Talwar(3), Oriol Vinyals(3), Dumitru Erhan(3), Andrew Saxe(3), Jean Pouget-Abadie(2), Bing Xu(2), Sherjil Ozair(2), Ilya Sutskever(2)