Natural Adversarial Examples

16 July 2019

Papers citing "Natural Adversarial Examples"

50 / 1,023 papers shown

Title
SyReNN: A Tool for Analyzing Deep Neural Networks Matthew Sotoudeh Aditya V. Thakur AAML GNN 24 16 0 09 Jan 2021
Why do classifier accuracies show linear trends under distribution shift? Horia Mania S. Sra OOD 21 19 0 31 Dec 2020
Revisiting Edge Detection in Convolutional Neural Networks Minh Le Subhradeep Kayal FAtt 13 13 0 25 Dec 2020
A Singular Value Perspective on Model Robustness Malhar Jere Maghav Kumar F. Koushanfar AAML 15 6 0 07 Dec 2020
Improved Handling of Motion Blur in Online Object Detection Mohamed Sayed Gabriel J. Brostow AAML 13 23 0 29 Nov 2020
Evaluation of Out-of-Distribution Detection Performance of Self-Supervised Learning in a Controllable Environment Jeonghoon Park Kyungmin Jo Daehoon Gwak Jimin Hong Jaegul Choo E. Choi OODD 11 1 0 26 Nov 2020
Dissecting Image Crops Basile Van Hoorick Carl Vondrick 18 9 0 24 Nov 2020
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles Christopher Clark Mark Yatskar Luke Zettlemoyer 18 60 0 07 Nov 2020
Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander DÁmour Katherine A. Heller D. Moldovan Ben Adlam B. Alipanahi ... Kellie Webster Steve Yadlowsky T. Yun Xiaohua Zhai D. Sculley OffRL 48 669 0 06 Nov 2020
Defense-friendly Images in Adversarial Attacks: Dataset and Metrics for Perturbation Difficulty Camilo Pestana Wei Liu D. Glance Ajmal Saeed Mian AAML 8 5 0 05 Nov 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks Tao Bai Jinqi Luo Jun Zhao AAML 41 8 0 03 Nov 2020
Why Do Better Loss Functions Lead to Less Transferable Features? Simon Kornblith Ting-Li Chen Honglak Lee Mohammad Norouzi FaML 22 90 0 30 Oct 2020
Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness Guillermo Ortiz-Jiménez Apostolos Modas Seyed-Mohsen Moosavi-Dezfooli P. Frossard AAML 19 48 0 19 Oct 2020
Towards Resistant Audio Adversarial Examples Tom Dörr Karla Markert Nicolas M. Muller Konstantin Böttinger AAML 9 7 0 14 Oct 2020
Deep Ensembles for Low-Data Transfer Learning Basil Mustafa C. Riquelme J. Puigcerver andAndré Susano Pinto Daniel Keysers N. Houlsby FedML OOD 17 22 0 14 Oct 2020
Representation learning from videos in-the-wild: An object-centric approach Rob Romijnders Aravindh Mahendran Michael Tschannen Josip Djolonga Marvin Ritter N. Houlsby Mario Lucic OCL SSL 12 8 0 06 Oct 2020
FSD50K: An Open Dataset of Human-Labeled Sound Events Eduardo Fonseca Xavier Favory Jordi Pons F. Font Xavier Serra 22 435 0 01 Oct 2020
A Unifying Review of Deep and Shallow Anomaly Detection Lukas Ruff Jacob R. Kauffmann Robert A. Vandermeulen G. Montavon Wojciech Samek Marius Kloft Thomas G. Dietterich Klaus-Robert Muller UQCV 18 779 0 24 Sep 2020
Contextual Semantic Interpretability Diego Marcos Ruth C. Fong Sylvain Lobry Rémi Flamary Nicolas Courty D. Tuia SSL 10 27 0 18 Sep 2020
MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li Caiming Xiong S. Hoi 18 94 0 17 Sep 2020
Defending Against Multiple and Unforeseen Adversarial Videos Shao-Yuan Lo Vishal M. Patel AAML 23 23 0 11 Sep 2020
Measuring Massive Multitask Language Understanding Dan Hendrycks Collin Burns Steven Basart Andy Zou Mantas Mazeika D. Song Jacob Steinhardt ELM RALM 8 3,835 0 07 Sep 2020
Estimating Example Difficulty Using Variance of Gradients Chirag Agarwal Daniel D'souza Sara Hooker 208 107 0 26 Aug 2020
TinySpeech: Attention Condensers for Deep Speech Recognition Neural Networks on Edge Devices A. Wong M. Famouri Maya Pavlova Siddharth Surana 59 33 0 10 Aug 2020
On Robustness and Transferability of Convolutional Neural Networks Josip Djolonga Jessica Yung Michael Tschannen Rob Romijnders Lucas Beyer ... D. Moldovan Sylvain Gelly N. Houlsby Xiaohua Zhai Mario Lucic OOD 8 153 0 16 Jul 2020
Our Evaluation Metric Needs an Update to Encourage Generalization Swaroop Mishra Anjana Arunkumar Chris Bryan Chitta Baral 30 16 0 14 Jul 2020
Seeing eye-to-eye? A comparison of object recognition performance in humans and deep convolutional neural networks under image manipulation Leonard E. van Dyck W. Gruber 16 3 0 13 Jul 2020
A Critical Evaluation of Open-World Machine Learning Liwei Song Vikash Sehwag A. Bhagoji Prateek Mittal AAML 16 8 0 08 Jul 2020
How benign is benign overfitting? Amartya Sanyal P. Dokania Varun Kanade Philip H. S. Torr NoLa AAML 23 57 0 08 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 11 501 0 05 Jul 2020
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 22 530 0 01 Jul 2020
Improving robustness against common corruptions by covariate shift adaptation Steffen Schneider E. Rusak L. Eck Oliver Bringmann Wieland Brendel Matthias Bethge VLM 26 457 0 30 Jun 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization Dan Hendrycks Steven Basart Norman Mu Saurav Kadavath Frank Wang ... Samyak Parajuli Mike Guo D. Song Jacob Steinhardt Justin Gilmer OOD 48 1,663 0 29 Jun 2020
Not all Failure Modes are Created Equal: Training Deep Neural Networks for Explicable (Mis)Classification Alberto Olmo Sailik Sengupta S. Kambhampati 12 6 0 26 Jun 2020
Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift Zachary Nado Shreyas Padhy D. Sculley Alexander DÁmour Balaji Lakshminarayanan Jasper Snoek OOD AI4TS 30 238 0 19 Jun 2020
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights Byeongho Heo Sanghyuk Chun Seong Joon Oh Dongyoon Han Sangdoo Yun Gyuwan Kim Youngjung Uh Jung-Woo Ha ODL 280 27 0 15 Jun 2020
The Pitfalls of Simplicity Bias in Neural Networks Harshay Shah Kaustav Tamuly Aditi Raghunathan Prateek Jain Praneeth Netrapalli AAML 16 348 0 13 Jun 2020
Mean-Field Approximation to Gaussian-Softmax Integral with Application to Uncertainty Estimation Zhiyun Lu Eugene Ie Fei Sha UQCV BDL 10 14 0 13 Jun 2020
Calibrated neighborhood aware confidence measure for deep metric learning Maryna Karpusha Sunghee Yun István Fehérvári UQCV FedML 11 2 0 08 Jun 2020
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks Dimitris Tsipras Shibani Santurkar Logan Engstrom Andrew Ilyas A. Madry 15 129 0 22 May 2020
Model-Based Robust Deep Learning: Generalizing to Natural, Out-of-Distribution Data Alexander Robey Hamed Hassani George J. Pappas OOD 35 42 0 20 May 2020
An Investigation of Why Overparameterization Exacerbates Spurious Correlations Shiori Sagawa Aditi Raghunathan Pang Wei Koh Percy Liang 144 370 0 09 May 2020
Reproduction of Lateral Inhibition-Inspired Convolutional Neural Network for Visual Attention and Saliency Detection Filip Marcinek 6 0 0 05 May 2020
Improved Adversarial Training via Learned Optimizer Yuanhao Xiong Cho-Jui Hsieh AAML 12 30 0 25 Apr 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 6 1,979 0 16 Apr 2020
Pretrained Transformers Improve Out-of-Distribution Robustness Dan Hendrycks Xiaoyuan Liu Eric Wallace Adam Dziedzic R. Krishnan D. Song OOD 10 427 0 13 Apr 2020
Editable Neural Networks A. Sinitsin Vsevolod Plokhotnyuk Dmitriy V. Pyrkin Sergei Popov Artem Babenko KELM 52 175 0 01 Apr 2020
On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location O. Kayhan J. C. V. Gemert 209 232 0 16 Mar 2020
Metrics and methods for robustness evaluation of neural networks with generative models Igor Buzhinsky Arseny Nerinovsky S. Tripakis AAML 26 25 0 04 Mar 2020
Utilizing Network Properties to Detect Erroneous Inputs Matt Gorbett Nathaniel Blanchard AAML 9 6 0 28 Feb 2020