Explaining and Harnessing Adversarial Examples

20 December 2014

Papers citing "Explaining and Harnessing Adversarial Examples"

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Title
Deep Reinforcement Learning: An Overview Yuxi Li OffRL VLM 106 1,505 0 25 Jan 2017
Towards Principled Methods for Training Generative Adversarial Networks Martín Arjovsky M. Nault GAN 48 2,097 0 17 Jan 2017
Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning Rock Stevens H. Aggarwal Himani Arora Sanghyun Hong M. Hicks Chetan Arora SILM AAML 13 18 0 17 Jan 2017
Vulnerability of Deep Reinforcement Learning to Policy Induction Attacks Vahid Behzadan Arslan Munir AAML SILM 26 274 0 16 Jan 2017
Comprehension-guided referring expressions Ruotian Luo Gregory Shakhnarovich ObjD 29 171 0 12 Jan 2017
Dense Associative Memory is Robust to Adversarial Inputs Dmitry Krotov J. Hopfield AAML 31 111 0 04 Jan 2017
Simple Black-Box Adversarial Perturbations for Deep Networks Nina Narodytska S. Kasiviswanathan AAML 27 237 0 19 Dec 2016
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 278 5,695 0 05 Dec 2016
Learning Adversary-Resistant Deep Neural Networks Qinglong Wang Wenbo Guo Kaixuan Zhang Alexander Ororbia Masashi Sugiyama Xue Liu C. Lee Giles AAML 23 43 0 05 Dec 2016
Local minima in training of neural networks G. Swirszcz Wojciech M. Czarnecki Razvan Pascanu ODL 37 73 0 19 Nov 2016
LOTS about Attacking Deep Features Andras Rozsa Manuel Günther Terrance E. Boult AAML 51 42 0 18 Nov 2016
VisualBackProp: efficient visualization of CNNs Mariusz Bojarski A. Choromańska K. Choromanski Bernhard Firner L. Jackel Urs Muller Karol Zieba FAtt 36 74 0 16 Nov 2016
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu D. Song AAML 78 1,723 0 08 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 312 3,115 0 04 Nov 2016
Towards Lifelong Self-Supervision: A Deep Learning Direction for Robotics J. M. Wong 27 11 0 01 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 74 2,513 0 26 Oct 2016
Safety Verification of Deep Neural Networks Xiaowei Huang Marta Kwiatkowska Sen Wang Min Wu AAML 183 933 0 21 Oct 2016
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches E. Rodner Marcel Simon Robert B. Fisher Joachim Denzler 22 39 0 21 Oct 2016
Digital Makeup from Internet Images Asad Khan Muhammad Ahmad Yudong Guo Ligang Liu DiffM 25 2 0 16 Oct 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 106 19,634 0 07 Oct 2016
DeepDGA: Adversarially-Tuned Domain Generation and Detection Hyrum S. Anderson Jonathan Woodbridge Bobby Filar AAML 18 197 0 06 Oct 2016
Supervision via Competition: Robot Adversaries for Learning Tasks Lerrel Pinto James Davidson Abhinav Gupta SSL 34 82 0 05 Oct 2016
Adversary Resistant Deep Neural Networks with an Application to Malware Detection Qinglong Wang Wenbo Guo Kaixuan Zhang Alexander Ororbia Masashi Sugiyama C. Lee Giles Xue Liu AAML 32 173 0 05 Oct 2016
Fitted Learning: Models with Awareness of their Limits Navid Kardan Kenneth O. Stanley CLL 32 16 0 07 Sep 2016
Direct Feedback Alignment Provides Learning in Deep Neural Networks Arild Nøkland ODL 51 449 0 06 Sep 2016
Robustness of classifiers: from adversarial to random noise Alhussein Fawzi Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 16 367 0 31 Aug 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 95 8,465 0 16 Aug 2016
A study of the effect of JPG compression on adversarial images Gintare Karolina Dziugaite Zoubin Ghahramani Daniel M. Roy AAML 38 531 0 02 Aug 2016
Early Methods for Detecting Adversarial Images Dan Hendrycks Kevin Gimpel AAML 35 235 0 01 Aug 2016
Unsupervised Learning from Continuous Video in a Scalable Predictive Recurrent Network Filip Piekniewski Patryk A. Laurent Csaba Petre Micah Richert Dimitry Fisher Todd Hylton 20 17 0 22 Jul 2016
On the Effectiveness of Defensive Distillation Nicolas Papernot Patrick McDaniel AAML 25 64 0 18 Jul 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 365 5,849 0 08 Jul 2016
Towards Verified Artificial Intelligence S. Seshia Dorsa Sadigh S. Shankar Sastry 20 203 0 27 Jun 2016
Concrete Problems in AI Safety Dario Amodei C. Olah Jacob Steinhardt Paul Christiano John Schulman Dandelion Mané 83 2,324 0 21 Jun 2016
On the Expressive Power of Deep Neural Networks M. Raghu Ben Poole Jon M. Kleinberg Surya Ganguli Jascha Narain Sohl-Dickstein 29 778 0 16 Jun 2016
Dense Associative Memory for Pattern Recognition Dmitry Krotov J. Hopfield 18 331 0 03 Jun 2016
Deep convolutional neural networks for predominant instrument recognition in polyphonic music Yoonchang Han Jae‐Hun Kim Kyogu Lee 33 203 0 31 May 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 49 1,729 0 24 May 2016
Measuring Neural Net Robustness with Constraints Osbert Bastani Yani Andrew Ioannou Leonidas Lampropoulos Dimitrios Vytiniotis A. Nori A. Criminisi AAML 22 422 0 24 May 2016
Crafting Adversarial Input Sequences for Recurrent Neural Networks Nicolas Papernot Patrick McDaniel A. Swami Richard E. Harang AAML GAN SILM 8 451 0 28 Apr 2016
Makeup like a superstar: Deep Localized Makeup Transfer Network Si Liu Xinyu Ou Ruihe Qian Wei Wang Xiaochun Cao OOD 34 89 0 25 Apr 2016
Humans and deep networks largely agree on which kinds of variation make object recognition harder Saeed Reza Kheradpisheh M. Ghodrati M. Ganjtabesh T. Masquelier OOD 35 34 0 21 Apr 2016
Understanding How Image Quality Affects Deep Neural Networks Samuel F. Dodge Lina Karam VLM 26 722 0 14 Apr 2016
A General Retraining Framework for Scalable Adversarial Classification Bo Li Yevgeniy Vorobeychik Xinyun Chen AAML 27 32 0 09 Apr 2016
Evolution of active categorical image classification via saccadic eye movement Randal S. Olson J. Moore C. Adami 26 4 0 27 Mar 2016
A Novel Biologically Mechanism-Based Visual Cognition Model--Automatic Extraction of Semantics, Formation of Integrated Concepts and Re-selection Features for Ambiguity Peijie Yin Hong Qiao Wei Wu Lu Qi Yinlin Li Shanlin Zhong Bo Zhang 16 8 0 25 Mar 2016
Deep Learning in Bioinformatics Seonwoo Min Byunghan Lee Sungroh Yoon AI4CE 3DV 36 1,352 0 21 Mar 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks Anh Totti Nguyen J. Yosinski Jeff Clune 28 324 0 11 Feb 2016
Ensemble Robustness and Generalization of Stochastic Deep Learning Algorithms Tom Zahavy Bingyi Kang Alex Sivak Jiashi Feng Huan Xu Shie Mannor OOD AAML 39 12 0 07 Feb 2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision Suraj Srinivas Ravi Kiran Sarvadevabhatla Konda Reddy Mopuri N. Prabhu S. Kruthiventi R. Venkatesh Babu OOD 35 215 0 25 Jan 2016