Fetching the paper…
Reading the bibliography…
Adversarial attacks have been alerting the artificial intelligence community recently, since many machine learning algorithms were found vulnerable to malicious attacks.
S. Evans, P. Mills, and J. Dawson, “The end of the p value?” British Heart Journal 60
1988
Earlier work this paper cites.
D. J. Watts and S. H. Strogatz, “Collective dynamics of ’small-world’ networks,” Nature 393
1998
Earlier work this paper cites.
R. Albert, H. Jeong, and A.-L. Barabási, “Internet: Diameter of the world-wide web,” Nature 401
1999
Earlier work this paper cites.
A.-L. Barabási and R. Albert, “Emergence of scaling in random networks,” Science 286
1999
Earlier work this paper cites.
A.-L. Barabási, R. Albert, and H. Jeong, “Mean-field theory for scale-free random networks,” Physica A: Statistical Mechanics and its Applications 272
1999
Earlier work this paper cites.
R. Albert, H. Jeong, and A.-L. Barabási, “Error and attack tolerance of complex networks,” Nature 406
2000
Earlier work this paper cites.
G. Bianconi and A.-L. Barabási, “Bose-einstein condensation in complex networks,” Physical Review Letters 86
2001
Earlier work this paper cites.
H. Ebel, L.-I. Mielsch, and S. Bornholdt, “Scale-free topology of e-mail networks,” Physical review E 66
2002
Earlier work this paper cites.
S. N. Dorogovtsev and J. F. Mendes, “Evolution of networks,” Advances in physics 51
2002
Earlier work this paper cites.
X. F. Wang and G. Chen, “Pinning control of scale-free dynamical networks,” Physica A: Statistical Mechanics and its Applications 310
2002
Earlier work this paper cites.
R. Pastor-Satorras, A. Vespignani, et al. , “Epidemics and immunization in scale-free networks,” Handbook of Graphs and Networks, Wiley-VCH, Berlin (2003)
2003
Earlier work this paper cites.
X. Li and G. Chen, “A local-world evolving network model,” Physica A 328
2003
Earlier work this paper cites.
R. Albert, “Scale-free networks in cell biology,” Journal of Cell Science 118
2005
Earlier work this paper cites.
Q. Xuan, Y. Li, and T.-J. Wu, “Growth model for complex networks with hierarchical and modular structures,” Physical Review E 73
2006
Earlier work this paper cites.
Q. Xuan, Y. Li, and T.-J. Wu, “A local-world network model based on inter-node correlation degree,” Physica A: Statistical Mechanics and its Applications 378
2007
Cited alongside, same era.
W. Willinger, D. Alderson, and J. C. Doyle, “Mathematics and the internet: A source of enormous confusion and great potential,” Notices of the American Mathematical Society 56
2009
Cited alongside, same era.
M. Wolfson, A. Budovsky, R. Tacutu, and V. Fraifeld, “The signaling hubs at the crossroad of longevity and age-related disease networks,” International Journal of Biochemistry & \& Cell Biology 41
2009
Cited alongside, same era.
Q. Sen and G.-Z. Dai, “A new local-world evolving network model,” Chinese Physics B 18
2009
Cited alongside, same era.
2018
Later among the works it cites.
Q. Xuan, Z. Chen, Y. Liu, H. Huang, G. Bao, and D. Zhang, “Multiview generative adversarial network and its application in pearl classification,” IEEE Transactions on Industrial Electronics 66
2018
Later among the works it cites.
2018
Later among the works it cites.
C. Fu, M. Zhao, L. Fan, X. Chen, J. Chen, Z. Wu, Y. Xia, and Q. Xuan, “Link weight prediction using supervised learning methods and its application to yelp layered network,” IEEE Transactions on Knowledge and Data Engineering 30
2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2011
Cited alongside, same era.
Z. Ruan, M. Tang, and Z. Liu, “Epidemic spreading with information-driven vaccination,” Physical Review E 86
2012
Cited alongside, same era.
2013
Cited alongside, same era.
2014
Cited alongside, same era.
N. Papernot, P. McDaniel, S. Jha, M. Fredrikson, Z. B. Celik, and A. Swami, “The limitations of deep learning in adversarial settings,” in 2016 IEEE European Symposium on Security and Privacy (EuroS&P) (IEEE, 2016) pp. 372–387
2016
Cited alongside, same era.
S.-M. Moosavi-Dezfooli, A. Fawzi, and P. Frossard, “Deepfool: a simple and accurate method to fool deep neural networks,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2016) pp. 2574–2582
2016
Cited alongside, same era.
2016
Cited alongside, same era.
C. Xie, J. Wang, Z. Zhang, Y. Zhou, L. Xie, and A. Yuille, “Adversarial examples for semantic segmentation and object detection,” in Proceedings of the IEEE International Conference on Computer Vision (2017) pp. 1369–1378
2017
Cited alongside, same era.
2018
Later among the works it cites.
D. Zügner, A. Akbarnejad, and S. Günnemann, “Adversarial attacks on neural networks for graph data,” in Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining (ACM, 2018) pp. 2847–2856
2018
Later among the works it cites.
Q. Xuan, J. Wang, M. Zhao, J. Yuan, C. Fu, Z. Ruan, and G. Chen, “Subgraph networks with application to structural feature space expansion,” IEEE Transactions on Knowledge and Data Engineering (2019)
2019
Later among the works it cites.
A. D. Broido and A. Clauset, “Scale-free networks are rare,” Nature Communications 10
2019
Later among the works it cites.
J. Su, D. V. Vargas, and K. Sakurai, “One pixel attack for fooling deep neural networks,” IEEE Transactions on Evolutionary Computation (2019)
2019
Later among the works it cites.
S. Yu, M. Zhao, C. Fu, J. Zheng, H. Huang, X. Shu, Q. Xuan, and G. Chen, “Target defense against link-prediction-based attacks via evolutionary perturbations,” IEEE Transactions on Knowledge and Data Engineering (2019)
2019
Later among the works it cites.
V. Amrhein, S. Greenland, and B. McShane, “Scientists rise up against statistical significance,” (2019)
2019
Later among the works it cites.
M. Gerlach and E. G. Altmann, “Testing statistical laws in complex systems,” Physical Review Letters 122
2019
Later among the works it cites.
D. Tsiotas, “Detecting different topologies immanent in scale-free networks with the same degree distribution,” Proceedings of the National Academy of Sciences 116
2019
Later among the works it cites.
R. Molontay and M. Nagy, “Twenty years of network science: A bibliographic and co-authorship network analysis,” arXiv2001.09006 (2020)
2020
Closest in time.