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Ian Goodfellow

  1. Improved Techniques for Training GANs
    2016/06/10 by Tim Salimans, Ian Goodfellow, Salimans, Tim +9 · 1 voice · 426 citations
    Computer Science · Biochemistry, Genetics and Molecular Biology · #Generative Adversarial Networks and Image Synthesis #Digital Media Forensic Detection #Cell Image Analysis Techniques
  2. Intriguing properties of neural networks
    2013/12/21 by Christian Szegedy, Szegedy, Christian, Wojciech Zaremba +11 · 3 voices · 374 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Neural Networks and Applications #cs.CV #cs.LG #cs.NE
  3. Adversarial examples in the physical world
    2016/07/08 by Alexey Kurakin, Ian Goodfellow, Kurakin, Alexey +3 · 5 voices · 111 citations
    Computer Science · Mathematics · #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CR #cs.CV #cs.LG #stat.ML
  4. Practical Black-Box Attacks against Machine Learning
    2016/02/08 by Nicolas Papernot, Papernot, Nicolas, Patrick McDaniel +9 · 4 voices · 78 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications
  5. Adversarial Examples that Fool both Computer Vision and Time-Limited Humans
    2018/02/22 by Gamaleldin F. Elsayed, Shreya Shankar, Brian Cheung +4 · 4 voices · 6 citations
    #cs.LG #cs.CV #q-bio.NC #stat.ML
  6. NIPS 2016 Tutorial: Generative Adversarial Networks
    2016/12/31 by Ian Goodfellow, Goodfellow, Ian · 4 voices · 90 citations
    Computer Science · #cs.LG
  7. Self-Attention Generative Adversarial Networks
    2018/05/21 by Han Zhang, Ian Goodfellow, Zhang, Han +5 · 3 voices · 145 citations
    Computer Science · Engineering · #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning #Image Processing Techniques and Applications
  8. Generative Adversarial Networks
    2014/06/10 by Ian Goodfellow, Ian J. Goodfellow, Goodfellow, Ian J. +14 · 7 voices · 96 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Image Processing and 3D Reconstruction #Music and Audio Processing #cs.LG #stat.ML
  9. Adversarial Reprogramming of Neural Networks
    2018/06/28 by Gamaleldin F. Elsayed, Ian Goodfellow, Jascha Sohl-Dickstein · 2 voices · 7 citations
    #cs.LG #cs.CR #cs.CV #stat.ML
  10. Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
    2016/10/18 by Nicolas Papernot, Martı́n Abadi, Papernot, Nicolas +8 · 2 voices · 18 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #cs.CR #cs.LG #stat.ML
  11. MixMatch: A Holistic Approach to Semi-Supervised Learning
    2019/05/06 by David Berthelot, Nicholas Carlini, Berthelot, David +9 · 1 voice · 84 citations
    Computer Science · #cs.LG #cs.AI #cs.CV #stat.ML
  12. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
    2016/03/14 by Martín Abadi, Ashish Agarwal, Abadi, Martín +77 · 1 voice · 48 citations
    Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC) #cs.DC #cs.LG
  13. Adversarial Autoencoders
    2015/11/18 by Alireza Makhzani, Jonathon Shlens, Makhzani, Alireza +8 · 1 voice · 47 citations
    Computer Science · #Digital Media Forensic Detection #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #cs.LG
  14. Sanity Checks for Saliency Maps
    2018/10/08 by Julius Adebayo, Justin Gilmer, Adebayo, Julius +9 · 129 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cell Image Analysis Techniques #Computer Vision and Pattern Recognition (cs.CV) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Visual Attention and Saliency Detection
  15. Generative adversarial networks
    2020/10/22 by Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza +5 · 94 citations
    Computer Science · #Computational Physics and Python Applications #Explainable Artificial Intelligence (XAI) #Generative Adversarial Networks and Image Synthesis
  16. An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
    2013/12/21 by Ian Goodfellow, Mehdi Mirza, Goodfellow, Ian J. +7 · 65 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Neural and Evolutionary Computing (cs.NE)
  17. Adversarial Machine Learning at Scale
    2016/11/04 by Alexey Kurakin, Ian Goodfellow, Kurakin, Alexey +3 · 57 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  18. Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
    2016/05/24 by Nicolas Papernot, Papernot, Nicolas, Patrick McDaniel +3 · 61 citations
    Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  19. TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
    2018/07/28 by Augustus Odena, Odena, Augustus, Ian Goodfellow +1 · 2 voices · 5 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Software Testing and Debugging Techniques #cs.LG #stat.ML
  20. On Evaluating Adversarial Robustness
    2019/02/18 by Nicholas Carlini, Anish Athalye, Carlini, Nicholas +15 · 58 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #Bacillus and Francisella bacterial research #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  21. Challenges in Representation Learning: A report on three machine\n learning contests
    2013/07/01 by Ian Goodfellow, Dumitru Erhan, Goodfellow, Ian J. +55 · 29 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  22. Adversarial Training Methods for Semi-Supervised Text Classification
    2016/05/25 by Takeru Miyato, Miyato, Takeru, Andrew M. Dai +3 · 40 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Generative Adversarial Networks and Image Synthesis
  23. Adversarial Attacks on Neural Network Policies
    2017/02/08 by Sandy H. Huang, Huang, Sandy, Nicolas Papernot +7 · 25 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. Qualitatively characterizing neural network optimization problems
    2014/12/19 by Ian Goodfellow, Oriol Vinyals, Goodfellow, Ian J. +3 · 26 citations
    Computer Science · Engineering · #Neural Networks and Applications #Image Processing and 3D Reconstruction #Advanced Data Processing Techniques
  25. Making machine learning robust against adversarial inputs
    2018/06/25 by Ian Goodfellow, Patrick McDaniel, Nicolas Papernot · 27 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Advanced Malware Detection Techniques
  26. Improving the Robustness of Deep Neural Networks via Stability Training
    2016/04/15 by Stephan Zheng, Yang Song, Zheng, Stephan +5 · 20 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications
  27. Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks
    2013/12/20 by Ian Goodfellow, Goodfellow, Ian J., Yaroslav Bulatov +7 · 11 citations
    Computer Science · Engineering · #Handwritten Text Recognition Techniques #Vehicle License Plate Recognition
  28. TORAX: A Fast and Differentiable Tokamak Transport Simulator in JAX
    2024/06/10 by J. Citrin, Jonathan Citrin, Citrin, Jonathan +29 · 2 voices · 5 citations
    Physics and Astronomy · Engineering · #physics.plasm-ph
  29. On distinguishability criteria for estimating generative models
    2014/12/19 by Ian Goodfellow, Goodfellow, Ian J. · 13 citations
    Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (stat.ML) #Music and Audio Processing
  30. Motivating the Rules of the Game for Adversarial Example Research
    2018/07/18 by Justin Gilmer, Ryan P. Adams, Gilmer, Justin +8 · 1 voice · 6 citations
    Computer Science · Mathematics · #Advanced Malware Detection Techniques #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Security and Verification in Computing #cs.LG #stat.ML
  31. MaskGAN: Better Text Generation via Filling in the______
    2018/01/23 by William Fedus, Fedus, William, Ian Goodfellow +3 · 9 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  32. Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
    2017/10/23 by William Fedus, Mihaela Rosca, Fedus, William +9 · 5 citations
    Economics, Econometrics and Finance · Energy · #Energy, Environment, and Transportation Policies #FOS: Computer and information sciences #Global Energy and Sustainability Research #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Market Dynamics and Volatility
  33. Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming
    2020/10/22 by Sumanth Dathathri, Dathathri, Sumanth, Krishnamurthy Dvijotham +19 · 3 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Machine Learning and Algorithms #Physical Unclonable Functions (PUFs) and Hardware Security
  34. Efficient Per-Example Gradient Computations
    2015/10/07 by Ian Goodfellow, Goodfellow, Ian · 2 citations
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Medical Image Segmentation Techniques #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  35. Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size
    2018/04/21 by Ian Goodfellow, Goodfellow, Ian · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  36. Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
    2018/07/19 by David Berthelot, Berthelot, David, Colin Raffel +5 · 2 citations
    Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Model Reduction and Neural Networks
  37. MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking
    2025/01/22 by Sebastian Farquhar, Vikrant Varma, Farquhar, Sebastian +11 · 1 voice · 4 citations
    Computer Science · #Blockchain Technology Applications and Security #cs.AI #cs.LG
  38. A domain agnostic measure for monitoring and evaluating GANs
    2018/11/13 by Paulina Grnarova, Grnarova, Paulina, Kfir Y. Levy +11 · 1 citation
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks