Natural Adversarial Examples

16 July 2019

Papers citing "Natural Adversarial Examples"

25 / 1,025 papers shown

Title
Metrics and methods for robustness evaluation of neural networks with generative models Igor Buzhinsky Arseny Nerinovsky S. Tripakis AAML 42 25 0 04 Mar 2020
Utilizing Network Properties to Detect Erroneous Inputs Matt Gorbett Nathaniel Blanchard AAML 21 6 0 28 Feb 2020
Can we have it all? On the Trade-off between Spatial and Adversarial Robustness of Neural Networks Sandesh Kamath Amit Deshpande Subrahmanyam Kambhampati Venkata V. Balasubramanian 33 12 0 26 Feb 2020
On Feature Normalization and Data Augmentation Boyi Li Felix Wu Ser-Nam Lim Serge J. Belongie Kilian Q. Weinberger 21 134 0 25 Feb 2020
Gödel's Sentence Is An Adversarial Example But Unsolvable Xiaodong Qi Lansheng Han AAML 20 0 0 25 Feb 2020
I Am Going MAD: Maximum Discrepancy Competition for Comparing Classifiers Adaptively Haotao Wang Tianlong Chen Zhangyang Wang Kede Ma VLM 14 20 0 25 Feb 2020
CEB Improves Model Robustness Ian S. Fischer Alexander A. Alemi AAML 19 28 0 13 Feb 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 36 220 0 10 Feb 2020
The Costs and Benefits of Goal-Directed Attention in Deep Convolutional Neural Networks Xiaoliang Luo Brett D. Roads Bradley C. Love 31 18 0 06 Feb 2020
A Little Fog for a Large Turn Harshitha Machiraju V. Balasubramanian AAML 15 9 0 16 Jan 2020
Universal Adversarial Attack on Attention and the Resulting Dataset DAmageNet Sizhe Chen Zhengbao He Chengjin Sun Jie-jin Yang Xiaolin Huang AAML 31 103 0 16 Jan 2020
DAmageNet: A Universal Adversarial Dataset Sizhe Chen Xiaolin Huang Zhengbao He Chengjin Sun AAML 27 9 0 16 Dec 2019
Achieving Robustness in the Wild via Adversarial Mixing with Disentangled Representations Sven Gowal Chongli Qin Po-Sen Huang taylan. cemgil Krishnamurthy Dvijotham Timothy A. Mann Pushmeet Kohli AAML OOD 16 57 0 06 Dec 2019
Towards Robust Image Classification Using Sequential Attention Models Daniel Zoran Mike Chrzanowski Po-Sen Huang Sven Gowal Alex Mott Pushmeet Kohli AAML 11 62 0 04 Dec 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 42 564 0 21 Nov 2019
What Do Compressed Deep Neural Networks Forget? Sara Hooker Aaron Courville Gregory Clark Yann N. Dauphin Andrea Frome 17 181 0 13 Nov 2019
Self-training with Noisy Student improves ImageNet classification Qizhe Xie Minh-Thang Luong Eduard H. Hovy Quoc V. Le NoLa 55 2,362 0 11 Nov 2019
Noise as a Resource for Learning in Knowledge Distillation Elahe Arani F. Sarfraz Bahram Zonooz 10 6 0 11 Oct 2019
Out-of-distribution Detection in Classifiers via Generation Sachin Vernekar Ashish Gaurav Vahdat Abdelzad Taylor Denouden Rick Salay Krzysztof Czarnecki OODD 21 83 0 09 Oct 2019
Learning De-biased Representations with Biased Representations Hyojin Bahng Sanghyuk Chun Sangdoo Yun Jaegul Choo Seong Joon Oh OOD 298 274 0 07 Oct 2019
ImageNet-trained deep neural network exhibits illusion-like response to the Scintillating Grid Eric Sun Ron Dekel 15 4 0 21 Jul 2019
Robustness properties of Facebook's ResNeXt WSL models Emin Orhan VLM 19 30 0 17 Jul 2019
Constructing Unrestricted Adversarial Examples with Generative Models Yang Song Rui Shu Nate Kushman Stefano Ermon GAN AAML 185 302 0 21 May 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 285 3,110 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 287 5,837 0 08 Jul 2016