Fetching the paper…
Reading the bibliography…
Deep neural networks have been widely used in various downstream tasks, especially those safety-critical scenario such as autonomous driving, but deep networks are often threatened by adversarial samples.
Inkawhich N, Liang K J, Wang B, et al · 2004
Earlier work this paper cites.
Intriguing properties of neural networks [J]
Szegedy C, Zaremba W, Sutskever I, et al · 2013
Earlier work this paper cites.
Explaining and harnessing adversarial examples [J]
Goodfellow I J, Shlens J, Szegedy C · 2014
Earlier work this paper cites.
Semantic image segmentation with deep convolutional nets and fully connected crfs [J]
Chen L C, Papandreou G, Kokkinos I, et al · 2014
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation [C]
Long J, Shelhamer E, Darrell T · 2015
Earlier work this paper cites.
Conditional random fields as recurrent neural networks [C]
Zheng S, Jayasumana S, Romera-Paredes B, et al · 2015
Earlier work this paper cites.
Deepfool: a simple and accurate method to fool deep neural networks [C]
Moosavi-Dezfooli S M, Fawzi A, Frossard P · 2016
Earlier work this paper cites.
The limitations of deep learning in adversarial settings [C]
Papernot N, McDaniel P, Jha S, et al · 2016
Earlier work this paper cites.
Deep residual learning for image recognition [C]
He K, Zhang X, Ren S, et al · 2016
Earlier work this paper cites.
Adversarial machine learning at scale [J]
Kurakin A, Goodfellow I, Bengio S · 2016
Earlier work this paper cites.
Towards evaluating the robustness of neural networks [C]
Carlini N, Wagner D · 2017
Earlier work this paper cites.
Towards deep learning models resistant to adversarial attacks [J]
Madry A, Makelov A, Schmidt L, et al · 2017
Earlier work this paper cites.
Universal adversarial perturbations [C]
Moosavi-Dezfooli S M, Fawzi A, Fawzi O, et al · 2017
Earlier work this paper cites.
Adversarial transformation networks: Learning to generate adversarial examples [J]
Baluja S, Fischer I · 2017
Earlier work this paper cites.
Practical Black-Box Attacks against Machine Learning [J]
Papernot N, McDaniel P, Goodfellow I, et al · 2017
Earlier work this paper cites.
Fast feature fool: A data independent approach to universal adversarial perturbations [J]
Mopuri K R, Garg U, Babu R V · 2017
Earlier work this paper cites.
Adversarial Examples that Fool Detectors [J]
Lu J, Sibai H, Fabry E · 2017
Earlier work this paper cites.
Adversarial Examples for Semantic Segmentation and Object Detection [J]
Xie C, Wang J, Zhang Z, et al · 2017
Earlier work this paper cites.
Robust Physical-World Attacks on Deep Learning Models [J]
Eykholt K, Evtimov I, Fernandes E, et al · 2017
Earlier work this paper cites.
Universal adversarial perturbations [C]
Moosavi-Dezfooli S M, Fawzi A, Fawzi O, et al · 2017
Earlier work this paper cites.
Pyramid scene parsing network [C]
Zhao H, Shi J, Qi X, et al · 2017
Earlier work this paper cites.
Deeplab: Semantic image segmentation with deep convolutional nets, atrous convolution, and fully connected crfs [J]
Chen L C, Papandreou G, Kokkinos I, et al · 2017
Earlier work this paper cites.
Houdini: Fooling deep structured visual and speech recognition models with adversarial examples [J]
Cisse M M, Adi Y, Neverova N, et al · 2017
Earlier work this paper cites.
Adversarial examples for semantic image segmentation [J]
Fischer V, Kumar M C, Metzen J H, et al · 2017
Cited alongside, same era.
Universal adversarial perturbations against semantic image segmentation [C]
Hendrik Metzen J, Chaithanya Kumar M, Brox T, et al · 2017
Cited alongside, same era.
Adversarial examples in the physical world [J]
Kurakin A, Goodfellow I J, Bengio S · 2018
Cited alongside, same era.
Black-box Adversarial Attacks with Limited Queries and Information [J]
Ilyas A, Engstrom L, Athalye A, et al · 2018
Cited alongside, same era.
Boosting Adversarial Attacks with Momentum [J]
Dong Y, Liao F, Pang T, et al · 2018
Cited alongside, same era.
Nag: Network for adversary generation [C]
Mopuri K R, Ojha U, Garg U, et al · 2018
Impact of adversarial examples on deep learning models for biomedical image segmentation [C]
Ozbulak U, Van Messem A, De Neve W · 2019
Later among the works it cites.
Decoupling direction and norm for efficient gradient-based l2 adversarial attacks and defenses [C]
Rony J, Hafemann L G, Oliveira L S, et al · 2019
Later among the works it cites.
Proximal Adam: robust adaptive update scheme for constrained optimization [J]
Melchior P, Joseph R, Moolekamp F · 2019
Later among the works it cites.
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks [J]
Lin J, Song C, He K, et al · 2020
Later among the works it cites.
Transferable Perturbations of Deep Feature Distributions [J]
Inkawhich N, Liang K J, Carin L, et al · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Generative adversarial perturbations [C]
Poursaeed O, Katsman I, Gao B, et al · 2018
Cited alongside, same era.
Generalizable data-free objective for crafting universal adversarial perturbations [J]
Mopuri K R, Ganeshan A, Babu R V · 2018
Cited alongside, same era.
Robust Physical Adversarial Attack on Faster R-CNN Object Detector [J]
Chen S T, Cornelius C, Martin J, et al · 2018
Cited alongside, same era.
Synthesizing Robust Adversarial Examples [C]
Athalye A, Engstrom L, Ilyas A, et al · 2018
Cited alongside, same era.
Robust Adversarial Perturbation on Deep Proposal-based Models [J]
Li Y, Tian D, Mingching-Chang , et al · 2018
Cited alongside, same era.
Physical Adversarial Examples for Object Detectors [J]
Eykholt K, Evtimov I, Fernandes E, et al · 2018
Cited alongside, same era.
Regional homogeneity: Towards learning transferable universal adversarial perturbations against defenses [C]
Li Y, Bai S, Xie C, et al · 2020
Later among the works it cites.
Contextual Adversarial Attacks For Object Detection [C]
Zhang H, Zhou W, Li H · 2020
Later among the works it cites.
Category-wise Attack: Transferable Adversarial Examples for Anchor Free Object Detection [J]
Liao Q, Wang X, Kong B, et al · 2020
Later among the works it cites.
TOG: Targeted Adversarial Objectness Gradient Attacks on Real-time Object Detection Systems [J]
Chow K H, Liu L, Gursoy M E, et al · 2020
Later among the works it cites.
An adversarial attack on DNN-based black-box object detectors [J]
Wang Y, Tan Y A, Zhang W, et al · 2020
Later among the works it cites.
Adversarial attacks for image segmentation on multiple lightweight models [J]
Kang X, Song B, Du X, et al · 2020
Later among the works it cites.
Minimally distorted adversarial examples with a fast adaptive boundary attack [C]
Croce F, Hein M · 2020
Later among the works it cites.
A Survey of Modern Deep Learning based Object Detection Models [J]
Zaidi S, Ansari M S, Aslam A, et al · 2021
Later among the works it cites.
A Survey on Adversarial Attack in the Age of Artificial Intelligence [J]
Kong Z, Xue J, Wang Y, et al · 2021
Later among the works it cites.
Daedalus: Breaking Nonmaximum Suppression in Object Detection via Adversarial Examples [J]
Wang D, Li C, Wen S, et al · 2021
Later among the works it cites.
Fast minimum-norm adversarial attacks through adaptive norm constraints [J]
Pintor M, Roli F, Brendel W, et al · 2021
Later among the works it cites.
PDPGD: Primal-Dual Proximal Gradient Descent Adversarial Attack [J]
Matyasko A, Chau L P · 2021
Later among the works it cites.
Augmented lagrangian adversarial attacks [C]
Rony J, Granger E, Pedersoli M, et al · 2021
Later among the works it cites.
Evaluating the robustness of semantic segmentation for autonomous driving against real-world adversarial patch attacks [C]
Nesti F, Rossolini G, Nair S, et al · 2022
Later among the works it cites.
Rossolini G, Nesti F, D’Amico G, et al · 2022
Later among the works it cites.
SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness [C]
Gu J, Zhao H, Tresp V, et al · 2022
Later among the works it cites.
Proximal Splitting Adversarial Attacks for Semantic Segmentation [J]
Rony J, Pesquet J C, Ayed I B · 2022
Later among the works it cites.