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
Distribution-Aware Testing of Neural Networks Using Generative Models Swaroopa Dola Matthew B. Dwyer M. Soffa 34 52 0 26 Feb 2021
Hierarchical VAEs Know What They Don't Know Jakob Drachmann Havtorn J. Frellsen Søren Hauberg Lars Maaløe DRL 37 72 0 16 Feb 2021
Guided Interpolation for Adversarial Training Chen Chen Jingfeng Zhang Xilie Xu Tianlei Hu Gang Niu Gang Chen Masashi Sugiyama AAML 42 10 0 15 Feb 2021
Defense Against Reward Poisoning Attacks in Reinforcement Learning Kiarash Banihashem Adish Singla Goran Radanović AAML 50 26 0 10 Feb 2021
Adversarial Robustness: What fools you makes you stronger Grzegorz Gluch R. Urbanke AAML 95 2 0 10 Feb 2021
Estimation and Applications of Quantiles in Deep Binary Classification Anuj Tambwekar Anirudh Maiya S. Dhavala Snehanshu Saha UQCV 16 7 0 09 Feb 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 34 49 0 09 Feb 2021
SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation Wuxinlin Cheng Chenhui Deng Zhiqiang Zhao Yaohui Cai Zhiru Zhang Zhuo Feng AAML 27 13 0 07 Feb 2021
Understanding the Interaction of Adversarial Training with Noisy Labels Jianing Zhu Jingfeng Zhang Bo Han Tongliang Liu Gang Niu Hongxia Yang Mohan Kankanhalli Masashi Sugiyama AAML 39 27 0 06 Feb 2021
Towards Robust Neural Networks via Close-loop Control Zhuotong Chen Qianxiao Li Zheng Zhang OOD AAML 35 25 0 03 Feb 2021
Probabilistic Trust Intervals for Out of Distribution Detection Gagandeep Singh Deepak Mishra UQCV AAML OOD 19 0 0 02 Feb 2021
Comparing hundreds of machine learning classifiers and discrete choice models in predicting travel behavior: an empirical benchmark Shenhao Wang Baichuan Mo Stephane Hess Jinhuan Zhao Jinhua Zhao 51 2 0 01 Feb 2021
ShufText: A Simple Black Box Approach to Evaluate the Fragility of Text Classification Models Rutuja Taware Shraddha Varat G. Salunke Chaitanya Gawande Geetanjali Kale Rahul Khengare Raviraj Joshi 25 5 0 30 Jan 2021
The Mind's Eye: Visualizing Class-Agnostic Features of CNNs Alexandros Stergiou FAtt 19 3 0 29 Jan 2021
A Convolutional Neural Network based Cascade Reconstruction for the IceCube Neutrino Observatory R. Abbasi M. Ackermann J. Adams J. Aguilar M. Ahlers ... Zifei Shan J. Yáñez S. Yoshida T. Yuan Zheng Zhang 49 47 0 27 Jan 2021
Defenses Against Multi-Sticker Physical Domain Attacks on Classifiers Xinwei Zhao Matthew C. Stamm AAML 28 3 0 26 Jan 2021
A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network Xinwei Zhao Chen Chen Matthew C. Stamm GAN AAML 30 4 0 23 Jan 2021
Copycat CNN: Are Random Non-Labeled Data Enough to Steal Knowledge from Black-box Models? Jacson Rodrigues Correia-Silva Rodrigo Berriel C. Badue Alberto F. de Souza Thiago Oliveira-Santos MLAU 34 14 0 21 Jan 2021
Understanding in Artificial Intelligence S. Maetschke D. M. Iraola Pieter Barnard Elaheh Shafieibavani Peter Zhong Ying Xu Antonio Jimeno Yepes ELM VLM 29 0 0 17 Jan 2021
Malicious Code Detection: Run Trace Output Analysis by LSTM Cengiz Acarturk Melih Sirlanci Pinar Gurkan Balikcioglu Deniz Demirci Nazenin Sahin Ozge A. Kucuk 36 9 0 14 Jan 2021
Analysis of skin lesion images with deep learning Josef Steppan S. Hanke 41 14 0 11 Jan 2021
SyReNN: A Tool for Analyzing Deep Neural Networks Matthew Sotoudeh Aditya V. Thakur AAML GNN 40 16 0 09 Jan 2021
Approaching Neural Network Uncertainty Realism Joachim Sicking Alexander Kister Matthias Fahrland S. Eickeler Fabian Hüger S. Rüping Peter Schlicht Tim Wirtz 32 2 0 08 Jan 2021
Corner case data description and detection Tinghui Ouyang Vicent Sant Marco Yoshinao Isobe H. Asoh Y. Oiwa Yoshiki Seo AAML 19 13 0 07 Jan 2021
Uncertainty-sensitive Activity Recognition: a Reliability Benchmark and the CARING Models Alina Roitberg Monica Haurilet Manuel Martínez Rainer Stiefelhagen UQCV 39 6 0 02 Jan 2021
Out of Order: How Important Is The Sequential Order of Words in a Sentence in Natural Language Understanding Tasks? Thang M. Pham Trung Bui Long Mai Anh Totti Nguyen 220 122 0 30 Dec 2020
A Survey on Neural Network Interpretability Yu Zhang Peter Tiño A. Leonardis K. Tang FaML XAI 157 667 0 28 Dec 2020
Robustness, Privacy, and Generalization of Adversarial Training Fengxiang He Shaopeng Fu Bohan Wang Dacheng Tao 38 10 0 25 Dec 2020
On the Granularity of Explanations in Model Agnostic NLP Interpretability Yves Rychener X. Renard Djamé Seddah P. Frossard Marcin Detyniecki MILM FAtt 16 3 0 24 Dec 2020
Unveiling Real-Life Effects of Online Photo Sharing V. Nguyen Adrian Daniel Popescu Jérôme Deshayes-Chossart 25 4 0 24 Dec 2020
Evolving the Behavior of Machines: From Micro to Macroevolution Jean-Baptiste Mouret AI4CE 21 13 0 21 Dec 2020
Blurring Fools the Network -- Adversarial Attacks by Feature Peak Suppression and Gaussian Blurring Chenchen Zhao Hao Li AAML 17 2 0 21 Dec 2020
Exploiting Vulnerability of Pooling in Convolutional Neural Networks by Strict Layer-Output Manipulation for Adversarial Attacks Chenchen Zhao Hao Li AAML 30 0 0 21 Dec 2020
Out-distribution aware Self-training in an Open World Setting Maximilian Augustin Matthias Hein 27 7 0 21 Dec 2020
Recent advances in deep learning theory Fengxiang He Dacheng Tao AI4CE 29 50 0 20 Dec 2020
Deep Open Intent Classification with Adaptive Decision Boundary Hanlei Zhang Hua Xu Ting-En Lin VLM 26 105 0 18 Dec 2020
Semantics and explanation: why counterfactual explanations produce adversarial examples in deep neural networks Kieran Browne Ben Swift AAML GAN 33 30 0 18 Dec 2020
Learning Prediction Intervals for Model Performance Benjamin Elder Matthew Arnold Anupama Murthi Jirí Navrátil 27 11 0 15 Dec 2020
Exploring Vicinal Risk Minimization for Lightweight Out-of-Distribution Detection Deepak Ravikumar Sangamesh Kodge Isha Garg Kaushik Roy OODD 24 5 0 15 Dec 2020
FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems Lu Chen Jiao Sun Wenyuan Xu AAML 19 16 0 15 Dec 2020
Demystifying Deep Neural Networks Through Interpretation: A Survey Giang Dao Minwoo Lee FaML FAtt 22 1 0 13 Dec 2020
Dependency Decomposition and a Reject Option for Explainable Models Jan Kronenberger Anselm Haselhoff FAtt AAML 46 8 0 11 Dec 2020
Confidence Estimation via Auxiliary Models Charles Corbière Nicolas Thome A. Saporta Tuan-Hung Vu Matthieu Cord P. Pérez TPM 34 48 0 11 Dec 2020
An Empirical Review of Adversarial Defenses Ayush Goel AAML 16 0 0 10 Dec 2020
Risk Management Framework for Machine Learning Security J. Breier A. Baldwin H. Balinsky Yang Liu AAML 16 3 0 09 Dec 2020
EvaLDA: Efficient Evasion Attacks Towards Latent Dirichlet Allocation Qi Zhou Haipeng Chen Yitao Zheng Zhen Wang AAML 14 5 0 09 Dec 2020
Quality-Diversity Optimization: a novel branch of stochastic optimization Konstantinos Chatzilygeroudis Antoine Cully Vassilis Vassiliades Jean-Baptiste Mouret 65 91 0 08 Dec 2020
Are DNNs fooled by extremely unrecognizable images? Soichiro Kumano Hiroshi Kera T. Yamasaki AAML 26 3 0 07 Dec 2020
From a Fourier-Domain Perspective on Adversarial Examples to a Wiener Filter Defense for Semantic Segmentation Nikhil Kapoor Andreas Bär Serin Varghese Jan David Schneider Fabian Hüger Peter Schlicht Tim Fingscheidt AAML 37 10 0 02 Dec 2020
MAAD-Face: A Massively Annotated Attribute Dataset for Face Images Philipp Terhörst Daniel Fahrmann Jan Niklas Kolf Naser Damer Florian Kirchbuchner Arjan Kuijper CVBM 26 37 0 02 Dec 2020