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Goodfellow, Ian

  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, Wojciech Zaremba, Szegedy, Christian +11 · 3 voices · 377 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 · 79 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications
  5. NIPS 2016 Tutorial: Generative Adversarial Networks
    2016/12/31 by Ian Goodfellow, Goodfellow, Ian · 4 voices · 90 citations
    Computer Science · #cs.LG
  6. Self-Attention Generative Adversarial Networks
    2018/05/21 by Han Zhang, Zhang, Han, Ian Goodfellow +5 · 3 voices · 146 citations
    Computer Science · Engineering · #Generative Adversarial Networks and Image Synthesis #Domain Adaptation and Few-Shot Learning #Image Processing Techniques and Applications
  7. Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
    2016/10/18 by Nicolas Papernot, Martı́n Abadi, Martín Abadi +8 · 2 voices · 18 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Privacy-Preserving Technologies in Data #cs.CR #cs.LG #stat.ML
  8. MixMatch: A Holistic Approach to Semi-Supervised Learning
    2019/05/06 by David Berthelot, Nicholas Carlini, Berthelot, David +9 · 1 voice · 85 citations
    Computer Science · #cs.LG #cs.AI #cs.CV #stat.ML
  9. 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
  10. Adversarial Autoencoders
    2015/11/18 by Alireza Makhzani, Makhzani, Alireza, Jonathon Shlens +8 · 1 voice · 47 citations
    Computer Science · #Digital Media Forensic Detection #Face recognition and analysis #Generative Adversarial Networks and Image Synthesis #cs.LG
  11. Sanity Checks for Saliency Maps
    2018/10/08 by Julius Adebayo, Adebayo, Julius, Justin Gilmer +9 · 130 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
  12. 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)
  13. 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)
  14. TensorFuzz: Debugging Neural Networks with Coverage-Guided Fuzzing
    2018/07/28 by Augustus Odena, Ian Goodfellow, Odena, Augustus +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
  15. Ensemble Adversarial Training: Attacks and Defenses
    2017/05/19 by Tramèr, Florian, Kurakin, Alexey, Papernot, Nicolas +3 · 38 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  16. On Evaluating Adversarial Robustness
    2019/02/18 by Nicholas Carlini, Anish Athalye, Carlini, Nicholas +15 · 59 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)
  17. Adversarial Training Methods for Semi-Supervised Text Classification
    2016/05/25 by Takeru Miyato, Miyato, Takeru, Andrew M. Dai +3 · 41 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Generative Adversarial Networks and Image Synthesis
  18. Adversarial Attacks on Neural Network Policies
    2017/02/08 by Sandy H. Huang, Nicolas Papernot, Huang, Sandy +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)
  19. Unsupervised Learning for Physical Interaction through Video Prediction
    2016/05/23 by Finn, Chelsea, Goodfellow, Ian, Levine, Sergey · 21 citations
    #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
  20. Net2Net: Accelerating Learning via Knowledge Transfer
    2015/11/18 by Chen, Tianqi, Goodfellow, Ian, Shlens, Jonathon · 18 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG)
  21. Theano: new features and speed improvements
    2012/11/23 by Frédéric Bastien, Bastien, Frédéric, Pascal Lamblin +15 · 23 citations
    Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Model Reduction and Neural Networks #Numerical Methods and Algorithms #Parallel Computing and Optimization Techniques #Symbolic Computation (cs.SC)
  22. Improving the Robustness of Deep Neural Networks via Stability Training
    2016/04/15 by Stephan Zheng, Zheng, Stephan, Yang Song +5 · 20 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications
  23. The Space of Transferable Adversarial Examples
    2017/04/11 by Tramèr, Florian, Papernot, Nicolas, Goodfellow, Ian +2 · 12 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. 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
  25. Motivating the Rules of the Game for Adversarial Example Research
    2018/07/18 by Justin Gilmer, Gilmer, Justin, Ryan P. Adams +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
  26. Adversarial Logit Pairing
    2018/03/16 by Kannan, Harini, Kurakin, Alexey, Goodfellow, Ian · 8 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  27. Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
    2019/03/22 by Qin, Yao, Carlini, Nicholas, Goodfellow, Ian +2 · 8 citations
    #Audio and Speech Processing (eess.AS) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sound (cs.SD) #electronic engineering #information engineering
  28. MaskGAN: Better Text Generation via Filling in the______
    2018/01/23 by William Fedus, Ian Goodfellow, Fedus, William +3 · 11 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
  29. Technical Report on the CleverHans v2.1.0 Adversarial Examples Library
    2016/10/03 by Papernot, Nicolas, Faghri, Fartash, Carlini, Nicholas +23 · 5 citations
    #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  30. Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step
    2017/10/23 by William Fedus, Fedus, William, Mihaela Rosca +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
  31. 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
  32. 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
  33. 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)
  34. Defense Against the Dark Arts: An overview of adversarial example security research and future research directions
    2018/06/11 by Goodfellow, Ian · 2 citations
    #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  35. Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer
    2018/07/19 by David Berthelot, Colin Raffel, Berthelot, David +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
  36. 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
  37. Large-Scale Feature Learning With Spike-and-Slab Sparse Coding
    2012/06/27 by Goodfellow, Ian, Courville, Aaron, Bengio, Yoshua · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  38. Theano: A Python framework for fast computation of mathematical expressions
    2016/05/09 by The Theano Development Team, Al-Rfou, Rami, Alain, Guillaume +110 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mathematical Software (cs.MS) #Symbolic Computation (cs.SC)
  39. A domain agnostic measure for monitoring and evaluating GANs
    2018/11/13 by Paulina Grnarova, Kfir Y. Levy, Grnarova, Paulina +11 · 2 citations
    Computer Science · Physics and Astronomy · #Generative Adversarial Networks and Image Synthesis #Adversarial Robustness in Machine Learning #Model Reduction and Neural Networks
  40. Local Explanation Methods for Deep Neural Networks Lack Sensitivity to Parameter Values
    2018/10/08 by Adebayo, Julius, Gilmer, Justin, Goodfellow, Ian +1 · 1 citation
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  41. Adversarial Attacks and Defences Competition
    2018/03/31 by Kurakin, Alexey, Goodfellow, Ian, Bengio, Samy +20 · 1 citation
    #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)
  42. Discriminator Rejection Sampling
    2018/10/16 by Azadi, Samaneh, Olsson, Catherine, Darrell, Trevor +2 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)