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Fooling Vision and Language Models Despite Localization and Attention Mechanism

25 September 2017

Papers citing "Fooling Vision and Language Models Despite Localization and Attention Mechanism"

50 / 59 papers shown

Title
Don't Just Assume; Look and Answer: Overcoming Priors for Visual Question Answering Aishwarya Agrawal Dhruv Batra Devi Parikh Aniruddha Kembhavi OOD 155 586 0 01 Dec 2017
Standard detectors aren't (currently) fooled by physical adversarial stop signs Jiajun Lu Hussein Sibai Evan Fabry David A. Forsyth AAML 63 59 0 09 Oct 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould Lei Zhang AIMat 123 4,221 0 25 Jul 2017
Adversarial Examples for Evaluating Reading Comprehension Systems Robin Jia Percy Liang AAML ELM 209 1,609 0 23 Jul 2017
NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles Jiajun Lu Hussein Sibai Evan Fabry David A. Forsyth AAML 86 282 0 12 Jul 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 317 12,131 0 19 Jun 2017
Adversarial Example Defenses: Ensembles of Weak Defenses are not Strong Warren He James Wei Xinyun Chen Nicholas Carlini Basel Alomair AAML 83 242 0 15 Jun 2017
MagNet: a Two-Pronged Defense against Adversarial Examples Dongyu Meng Hao Chen AAML 50 1,208 0 25 May 2017
Ensemble Adversarial Training: Attacks and Defenses Florian Tramèr Alexey Kurakin Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML 177 2,729 0 19 May 2017
Delving into adversarial attacks on deep policies Jernej Kos Basel Alomair AAML 62 227 0 18 May 2017
Learning to Reason: End-to-End Module Networks for Visual Question Answering Ronghang Hu Jacob Andreas Marcus Rohrbach Trevor Darrell Kate Saenko KELM GNN ReLM LRM 129 579 0 18 Apr 2017
The Space of Transferable Adversarial Examples Florian Tramèr Nicolas Papernot Ian Goodfellow Dan Boneh Patrick McDaniel AAML SILM 92 558 0 11 Apr 2017
Adversarial Examples for Semantic Segmentation and Object Detection Cihang Xie Jianyu Wang Zhishuai Zhang Yuyin Zhou Lingxi Xie Alan Yuille GAN AAML 107 933 0 24 Mar 2017
Tactics of Adversarial Attack on Deep Reinforcement Learning Agents Yen-Chen Lin Zhang-Wei Hong Yuan-Hong Liao Meng-Li Shih Ming-Yuan Liu Min Sun AAML 96 416 0 08 Mar 2017
Adversarial Examples for Semantic Image Segmentation Volker Fischer Mummadi Chaithanya Kumar J. H. Metzen Thomas Brox SSeg GAN AAML 83 119 0 03 Mar 2017
Detecting Adversarial Samples from Artifacts Reuben Feinman Ryan R. Curtin S. Shintre Andrew B. Gardner AAML 102 894 0 01 Mar 2017
On the (Statistical) Detection of Adversarial Examples Kathrin Grosse Praveen Manoharan Nicolas Papernot Michael Backes Patrick McDaniel AAML 86 714 0 21 Feb 2017
On Detecting Adversarial Perturbations J. H. Metzen Tim Genewein Volker Fischer Bastian Bischoff AAML 73 950 0 14 Feb 2017
Adversarial Attacks on Neural Network Policies Sandy Huang Nicolas Papernot Ian Goodfellow Yan Duan Pieter Abbeel MLAU AAML 102 838 0 08 Feb 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning Justin Johnson B. Hariharan Laurens van der Maaten Li Fei-Fei C. L. Zitnick Ross B. Girshick CoGe 313 2,387 0 20 Dec 2016
The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions Peng Wang Qi Wu Chunhua Shen Anton Van Den Hengel OOD 72 86 0 16 Dec 2016
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning Jiasen Lu Caiming Xiong Devi Parikh R. Socher 130 1,454 0 06 Dec 2016
Making the V in VQA Matter: Elevating the Role of Image Understanding in Visual Question Answering Yash Goyal Tejas Khot D. Summers-Stay Dhruv Batra Devi Parikh CoGe 352 3,270 0 02 Dec 2016
Delving into Transferable Adversarial Examples and Black-box Attacks Yanpei Liu Xinyun Chen Chang-rui Liu Basel Alomair AAML 143 1,741 0 08 Nov 2016
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 472 3,148 0 04 Nov 2016
Universal adversarial perturbations Seyed-Mohsen Moosavi-Dezfooli Alhussein Fawzi Omar Fawzi P. Frossard AAML 150 2,533 0 26 Oct 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,583 0 16 Aug 2016
Defensive Distillation is Not Robust to Adversarial Examples Nicholas Carlini D. Wagner 67 339 0 14 Jul 2016
Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding Akira Fukui Dong Huk Park Daylen Yang Anna Rohrbach Trevor Darrell Marcus Rohrbach 310 1,466 0 06 Jun 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 116 1,741 0 24 May 2016
Crafting Adversarial Input Sequences for Recurrent Neural Networks Nicolas Papernot Patrick McDaniel A. Swami Richard E. Harang AAML GAN SILM 51 456 0 28 Apr 2016
Dynamic Memory Networks for Visual and Textual Question Answering Caiming Xiong Stephen Merity R. Socher 77 756 0 04 Mar 2016
Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations Ranjay Krishna Yuke Zhu Oliver Groth Justin Johnson Kenji Hata ... Yannis Kalantidis Li Li David A. Shamma Michael S. Bernstein Fei-Fei Li 225 5,762 0 23 Feb 2016
Practical Black-Box Attacks against Machine Learning Nicolas Papernot Patrick McDaniel Ian Goodfellow S. Jha Z. Berkay Celik A. Swami MLAU AAML 75 3,682 0 08 Feb 2016
Learning to Compose Neural Networks for Question Answering Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein NAI KELM BDL CoGe 99 568 0 07 Jan 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,426 0 10 Dec 2015
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 115 3,967 0 24 Nov 2015
Where To Look: Focus Regions for Visual Question Answering Kevin J. Shih Saurabh Singh Derek Hoiem 76 460 0 23 Nov 2015
Ask Me Anything: Free-form Visual Question Answering Based on Knowledge from External Sources Qi Wu Peng Wang Chunhua Shen A. Dick Anton Van Den Hengel 75 372 0 22 Nov 2015
Compact Bilinear Pooling Yang Gao Oscar Beijbom Ning Zhang Trevor Darrell 83 791 0 19 Nov 2015
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction Hyeonwoo Noh Paul Hongsuck Seo Bohyung Han OOD 78 327 0 18 Nov 2015
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering Huijuan Xu Kate Saenko 79 763 0 17 Nov 2015
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 113 3,076 0 14 Nov 2015
Visual7W: Grounded Question Answering in Images Yuke Zhu Oliver Groth Michael S. Bernstein Li Fei-Fei 104 887 0 11 Nov 2015
Neural Module Networks Jacob Andreas Marcus Rohrbach Trevor Darrell Dan Klein CoGe 139 1,076 0 09 Nov 2015
Stacked Attention Networks for Image Question Answering Zichao Yang Xiaodong He Jianfeng Gao Li Deng Alex Smola BDL 114 1,884 0 07 Nov 2015
Ask Me Anything: Dynamic Memory Networks for Natural Language Processing A. Kumar Ozan Irsoy Peter Ondruska Mohit Iyyer James Bradbury Ishaan Gulrajani Victor Zhong Romain Paulus R. Socher 118 1,182 0 24 Jun 2015
Learning to Answer Questions From Image Using Convolutional Neural Network Lin Ma Zhengdong Lu Hang Li 86 262 0 01 Jun 2015
Are You Talking to a Machine? Dataset and Methods for Multilingual Image Question Answering Haoyuan Gao Junhua Mao Jie Zhou Zhiheng Huang Lei Wang Wenyuan Xu 78 501 0 21 May 2015
Ask Your Neurons: A Neural-based Approach to Answering Questions about Images Mateusz Malinowski Marcus Rohrbach Mario Fritz 108 600 0 05 May 2015