Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images

5 December 2014

Jeff Clune

Papers citing "Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images"

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Title
Optimization and Abstraction: A Synergistic Approach for Analyzing Neural Network Robustness Greg Anderson Shankara Pailoor Işıl Dillig Swarat Chaudhuri AAML 29 100 0 22 Apr 2019
Deep Anchored Convolutional Neural Networks Jiahui Huang Kshitij Dwivedi Gemma Roig 33 1 0 22 Apr 2019
Fashion++: Minimal Edits for Outfit Improvement Wei-Lin Hsiao Isay Katsman Chao-Yuan Wu Devi Parikh Kristen Grauman 23 67 0 19 Apr 2019
Understanding Neural Networks via Feature Visualization: A survey Anh Nguyen J. Yosinski Jeff Clune FAtt 21 160 0 18 Apr 2019
Adversarial Defense Through Network Profiling Based Path Extraction Yuxian Qiu Jingwen Leng Cong Guo Quan Chen Chong Li Minyi Guo Yuhao Zhu AAML 24 51 0 17 Apr 2019
AT-GAN: An Adversarial Generator Model for Non-constrained Adversarial Examples Xiaosen Wang Kun He Chuanbiao Song Liwei Wang J. Hopcroft GAN 18 32 0 16 Apr 2019
Generating Minimal Adversarial Perturbations with Integrated Adaptive Gradients Yatie Xiao Chi-Man Pun AAML GAN TTA 19 0 0 12 Apr 2019
Black-Box Decision based Adversarial Attack with Symmetric $α$ -stable Distribution Vignesh Srinivasan E. Kuruoglu K. Müller Wojciech Samek Shinichi Nakajima AAML 25 7 0 11 Apr 2019
Black-box Adversarial Attacks on Video Recognition Models Linxi Jiang Xingjun Ma Shaoxiang Chen James Bailey Yu-Gang Jiang AAML MLAU 17 143 0 10 Apr 2019
A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning Shahbaz Rezaei Xin Liu SILM AAML 33 46 0 08 Apr 2019
Interpreting Adversarial Examples by Activation Promotion and Suppression Kaidi Xu Sijia Liu Gaoyuan Zhang Mengshu Sun Pu Zhao Quanfu Fan Chuang Gan Xinyu Lin AAML FAtt 32 43 0 03 Apr 2019
Finding and Visualizing Weaknesses of Deep Reinforcement Learning Agents Christian Rupprecht Cyril Ibrahim C. Pal 29 32 0 02 Apr 2019
On the Adversarial Robustness of Multivariate Robust Estimation Erhan Bayraktar Lifeng Lai 16 3 0 27 Mar 2019
Interpreting Neural Networks Using Flip Points Roozbeh Yousefzadeh D. O’Leary AAML FAtt 22 17 0 21 Mar 2019
On the Robustness of Deep K-Nearest Neighbors Chawin Sitawarin David Wagner AAML OOD 11 58 0 20 Mar 2019
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems H. Abdullah Washington Garcia Christian Peeters Patrick Traynor Kevin R. B. Butler Joseph N. Wilson AAML 27 165 0 18 Mar 2019
Aesthetics of Neural Network Art Aaron Hertzmann GAN 17 15 0 13 Mar 2019
Alignment Based Matching Networks for One-Shot Classification and Open-Set Recognition Paresh Malalur Tommi Jaakkola ObjD VLM 30 0 0 11 Mar 2019
Learning from Higher-Layer Feature Visualizations K. Nikolaidis Stein Kristiansen V. Goebel T. Plagemann 15 5 0 06 Mar 2019
Deep Learning for Cognitive Neuroscience Katherine R. Storrs N. Kriegeskorte NAI AI4CE 33 46 0 04 Mar 2019
Evaluating Adversarial Evasion Attacks in the Context of Wireless Communications Bryse Flowers R. M. Buehrer William C. Headley AAML 40 123 0 01 Mar 2019
TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents Panagiota Kiourti Kacper Wardega Susmit Jha Wenchao Li AAML 22 50 0 01 Mar 2019
Towards Understanding Adversarial Examples Systematically: Exploring Data Size, Task and Model Factors Ke Sun Zhanxing Zhu Zhouchen Lin AAML 30 18 0 28 Feb 2019
Analyzing Deep Neural Networks with Symbolic Propagation: Towards Higher Precision and Faster Verification Jianlin Li Pengfei Yang Jiangchao Liu Liqian Chen Xiaowei Huang Lijun Zhang AAML 24 80 0 26 Feb 2019
Adversarial Reinforcement Learning under Partial Observability in Autonomous Computer Network Defence Yi Han David Hubczenko Paul Montague O. Vel Tamas Abraham Benjamin I. P. Rubinstein C. Leckie T. Alpcan S. Erfani AAML 18 6 0 25 Feb 2019
DeepFault: Fault Localization for Deep Neural Networks Hasan Ferit Eniser Simos Gerasimou A. Sen AAML 28 87 0 15 Feb 2019
Can Intelligent Hyperparameter Selection Improve Resistance to Adversarial Examples? Cody Burkard Brent Lagesse AAML SILM 14 1 0 14 Feb 2019
Deep Divergence-Based Approach to Clustering Michael C. Kampffmeyer Sigurd Løkse F. Bianchi L. Livi Arnt-Børre Salberg Robert Jenssen 31 61 0 13 Feb 2019
Yes, we GAN: Applying Adversarial Techniques for Autonomous Driving Michal Uřičář P. Krízek David Hurych Ibrahim Sobh S. Yogamani Patrick Denny GAN 32 58 0 09 Feb 2019
Image Decomposition and Classification through a Generative Model Houpu Yao Malcolm Regan Yezhou Yang Yi Ren GAN 17 1 0 09 Feb 2019
Understanding the One-Pixel Attack: Propagation Maps and Locality Analysis Danilo Vasconcellos Vargas Jiawei Su FAtt AAML 16 36 0 08 Feb 2019
Situational Grounding within Multimodal Simulations James Pustejovsky Nikhil Krishnaswamy LM&Ro 6 8 0 05 Feb 2019
Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI Shane T. Mueller R. Hoffman W. Clancey Abigail Emrey Gary Klein XAI 18 285 0 05 Feb 2019
Adaptive Gradient for Adversarial Perturbations Generation Yatie Xiao Chi-Man Pun ODL 19 10 0 01 Feb 2019
Natural and Adversarial Error Detection using Invariance to Image Transformations Yuval Bahat Michal Irani Gregory Shakhnarovich AAML 17 18 0 01 Feb 2019
Optimal Attack against Autoregressive Models by Manipulating the Environment Yiding Chen Xiaojin Zhu AAML 17 11 0 01 Feb 2019
A New Family of Neural Networks Provably Resistant to Adversarial Attacks Rakshit Agrawal Luca de Alfaro D. Helmbold AAML OOD 27 2 0 01 Feb 2019
Augmenting Model Robustness with Transformation-Invariant Attacks Houpu Yao Zhe Wang Guangyu Nie Yassine Mazboudi Yezhou Yang Yi Ren AAML OOD 14 3 0 31 Jan 2019
Conditioning by adaptive sampling for robust design David H. Brookes Hahnbeom Park Jennifer Listgarten 26 193 0 29 Jan 2019
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems Tianyu Du S. Ji Jinfeng Li Qinchen Gu Ting Wang R. Beyah AAML 20 127 0 23 Jan 2019
Universal Rules for Fooling Deep Neural Networks based Text Classification Di Li Danilo Vasconcellos Vargas Kouichi Sakurai AAML 26 11 0 22 Jan 2019
Perception-in-the-Loop Adversarial Examples Mahmoud Salamati Sadegh Soudjani R. Majumdar AAML 18 2 0 21 Jan 2019
Generating Adversarial Perturbation with Root Mean Square Gradient Yatie Xiao Chi-Man Pun Jizhe Zhou GAN 18 1 0 13 Jan 2019
Input Prioritization for Testing Neural Networks Taejoon Byun Vaibhav Sharma Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer AAML 29 67 0 11 Jan 2019
Detecting Overfitting of Deep Generative Networks via Latent Recovery Ryan Webster Julien Rabin Loïc Simon F. Jurie GAN 14 99 0 09 Jan 2019
Thinking Outside the Pool: Active Training Image Creation for Relative Attributes Aron Yu Kristen Grauman 25 23 0 08 Jan 2019
Personalized explanation in machine learning: A conceptualization J. Schneider J. Handali XAI FAtt 22 17 0 03 Jan 2019
AIR5: Five Pillars of Artificial Intelligence Research Yew-Soon Ong Abhishek Gupta 19 29 0 30 Dec 2018
End-to-End Latent Fingerprint Search Kai Cao Dinh-Luan Nguyen Cori Tymoszek Anil K. Jain 22 23 0 26 Dec 2018
PPD: Permutation Phase Defense Against Adversarial Examples in Deep Learning Mehdi Jafarnia-Jahromi Tasmin Chowdhury Hsin-Tai Wu S. Mukherjee AAML 27 4 0 25 Dec 2018