Adversarial Examples that Fool both Computer Vision and Time-Limited Humans

22 February 2018

Gamaleldin F. Elsayed

Jascha Narain Sohl-Dickstein

AAML

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Papers citing "Adversarial Examples that Fool both Computer Vision and Time-Limited Humans"

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Title
A Cryptographic Perspective on Mitigation vs. Detection in Machine Learning Greg Gluch Shafi Goldwasser AAML 37 0 0 28 Apr 2025
Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets Vatsal Gupta Pranshu Pandya Tushar Kataria Vivek Gupta Dan Roth AAML 63 1 0 03 Jan 2025
Probing Human Visual Robustness with Neurally-Guided Deep Neural Networks Zhenan Shao Linjian Ma Yiqing Zhou Yibo Jacky Zhang Sanmi Koyejo Bo Li Diane M. Beck AAML 51 3 0 04 May 2024
Factorized Diffusion: Perceptual Illusions by Noise Decomposition Daniel Geng Inbum Park Andrew Owens DiffM 43 16 0 17 Apr 2024
Physics-informed neural network for modeling dynamic linear elasticity Vijay Kag Venkatesh Gopinath PINN 9 1 0 23 Dec 2023
Neither hype nor gloom do DNNs justice Gaurav Malhotra Christian Tsvetkov B. D. Evans 32 117 0 08 Dec 2023
Adversarial Examples Might be Avoidable: The Role of Data Concentration in Adversarial Robustness Ambar Pal Huaijin Hao Rene Vidal 26 8 0 28 Sep 2023
Robustified ANNs Reveal Wormholes Between Human Category Percepts Guy Gaziv Michael J. Lee J. DiCarlo AAML 24 6 0 14 Aug 2023
Maestro: A Gamified Platform for Teaching AI Robustness Margarita Geleta Jiacen Xu Manikanta Loya Junlin Wang Sameer Singh Zhou Li Sergio Gago-Masague 22 0 0 14 Jun 2023
Are Deep Neural Networks Adequate Behavioural Models of Human Visual Perception? Felix Wichmann Robert Geirhos 32 25 0 26 May 2023
DeepSeaNet: Improving Underwater Object Detection using EfficientDet Sanyam Jain AAML 19 12 0 26 May 2023
Operationalizing Specifications, In Addition to Test Sets for Evaluating Constrained Generative Models Vikas Raunak Matt Post Arul Menezes EGVM 35 0 0 19 Nov 2022
Audit and Improve Robustness of Private Neural Networks on Encrypted Data Jiaqi Xue Lei Xu Lin Chen W. Shi Kaidi Xu Qian Lou AAML 28 5 0 20 Sep 2022
A comment on Guo et al. [arXiv:2206.11228] Ben Lonnqvist Harshitha Machiraju Michael H. Herzog AAML 22 0 0 02 Aug 2022
Adversarially trained neural representations may already be as robust as corresponding biological neural representations Chong Guo Michael J. Lee Guillaume Leclerc Joel Dapello Yug Rao A. Madry J. DiCarlo GAN AAML 15 13 0 19 Jun 2022
DDDM: a Brain-Inspired Framework for Robust Classification Xiyuan Chen Xingyu Li Yi Zhou Tianming Yang AAML DiffM 43 7 0 01 May 2022
Joint rotational invariance and adversarial training of a dual-stream Transformer yields state of the art Brain-Score for Area V4 William Berrios Arturo Deza MedIm ViT 30 13 0 08 Mar 2022
Finding Biological Plausibility for Adversarially Robust Features via Metameric Tasks A. Harrington Arturo Deza OOD AAML 27 20 0 02 Feb 2022
Image classifiers can not be made robust to small perturbations Zheng Dai David K Gifford VLM AAML 36 1 0 07 Dec 2021
Human Imperceptible Attacks and Applications to Improve Fairness Xinru Hua Huanzhong Xu Jose H. Blanchet V. Nguyen AAML 27 3 0 30 Nov 2021
A Survey on AI Assurance Feras A. Batarseh Laura J. Freeman 29 65 0 15 Nov 2021
FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack Donghua Wang Tingsong Jiang Jialiang Sun Weien Zhou Xiaoya Zhang Zhiqiang Gong W. Yao Xiaoqian Chen AAML 39 101 0 15 Sep 2021
Bio-inspired Robustness: A Review Harshitha Machiraju Oh-hyeon Choung P. Frossard Michael H. Herzog AAML 30 1 0 16 Mar 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World Jiakai Wang Aishan Liu Zixin Yin Shunchang Liu Shiyu Tang Xianglong Liu AAML 146 195 0 01 Mar 2021
Clustered Hierarchical Anomaly and Outlier Detection Algorithms Najib Ishaq Thomas J. Howard Noah M. Daniels 9 7 0 09 Feb 2021
Color Channel Perturbation Attacks for Fooling Convolutional Neural Networks and A Defense Against Such Attacks Jayendra Kantipudi S. Dubey Soumendu Chakraborty AAML 42 19 0 20 Dec 2020
Neighbors From Hell: Voltage Attacks Against Deep Learning Accelerators on Multi-Tenant FPGAs Andrew Boutros Mathew Hall Nicolas Papernot Vaughn Betz 19 38 0 14 Dec 2020
Human vs. supervised machine learning: Who learns patterns faster? Niklas Kühl Marc Goutier Lucas Baier C. Wolff Dominik Martin 13 44 0 30 Nov 2020
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples Timo Freiesleben GAN 41 62 0 11 Sep 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 27 73 0 07 Aug 2020
Robust and Generalizable Visual Representation Learning via Random Convolutions Zhenlin Xu Deyi Liu Junlin Yang Colin Raffel Marc Niethammer OOD AAML 53 191 0 25 Jul 2020
A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications Jie Gui Zhenan Sun Yonggang Wen Dacheng Tao Jieping Ye EGVM 33 821 0 20 Jan 2020
On Robustness of Neural Ordinary Differential Equations Hanshu Yan Jiawei Du Vincent Y. F. Tan Jiashi Feng OOD 19 138 0 12 Oct 2019
Towards Quality Assurance of Software Product Lines with Adversarial Configurations Paul Temple M. Acher Gilles Perrouin Battista Biggio J. Jézéquel Fabio Roli AAML 16 11 0 16 Sep 2019
ImageNet-trained deep neural network exhibits illusion-like response to the Scintillating Grid Eric Sun Ron Dekel 20 4 0 21 Jul 2019
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving Zelun Kong Junfeng Guo Ang Li Cong Liu AAML 36 126 0 09 Jul 2019
Using learned optimizers to make models robust to input noise Luke Metz Niru Maheswaranathan Jonathon Shlens Jascha Narain Sohl-Dickstein E. D. Cubuk VLM OOD 23 26 0 08 Jun 2019
Improving Robustness Without Sacrificing Accuracy with Patch Gaussian Augmentation Raphael Gontijo-Lopes Dong Yin Ben Poole Justin Gilmer E. D. Cubuk AAML 33 204 0 06 Jun 2019
Enhancing Gradient-based Attacks with Symbolic Intervals Shiqi Wang Yizheng Chen Ahmed Abdou Suman Jana AAML 28 15 0 05 Jun 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
Assessment of Faster R-CNN in Man-Machine collaborative search Arturo Deza A. Surana Miguel P. Eckstein OOD 18 7 0 04 Apr 2019
Attack Type Agnostic Perceptual Enhancement of Adversarial Images Bilgin Aksoy A. Temi̇zel AAML 21 5 0 07 Mar 2019
Neural Networks Trained on Natural Scenes Exhibit Gestalt Closure Been Kim Emily Reif Martin Wattenberg Samy Bengio Michael C. Mozer 33 30 0 04 Mar 2019
Adversarial examples from computational constraints Sébastien Bubeck Eric Price Ilya P. Razenshteyn AAML 65 230 0 25 May 2018
Adversarial Attacks Against Medical Deep Learning Systems S. G. Finlayson Hyung Won Chung I. Kohane Andrew L. Beam SILM AAML OOD MedIm 22 230 0 15 Apr 2018
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 296 3,112 0 04 Nov 2016
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 293 5,842 0 08 Jul 2016