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Hashing images with a perceptual algorithm is a common approach to solving duplicate image detection problems.
Cryptography and computer privacy
H. Feistel · 1973
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Robust image hashing
R. Venkatesan, S.-M. Koon, M. H. Jakubowski, and P. Moulin · 2000
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New iterative geometric methods for robust perceptual image hashing
M. K. Mıhçak and R. Venkatesan · 2001
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System and method for hashing digital images, Dec. 30 2003
R. Venkatesan and S.-M. W. Koon · 2003
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Efficient near-duplicate detection and sub-image retrieval
Y. Ke, R. Sukthankar, L. Huston, Y. Ke, and R. Sukthankar · 2004
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Robust perceptual image hashing via matrix invariants
S. S. Kozat, R. Venkatesan, and M. K. Mihçak · 2004
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Cryptographic hash-function basics: Definitions, implications, and separations for preimage resistance, second-preimage resistance, and collision resistance
P. Rogaway and T. Shrimpton · 2004
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Image quality assessment: from error visibility to structural similarity
Z. Wang, A. C. Bovik, H. R. Sheikh, and E. P. Simoncelli · 2004
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Collision search attacks on sha1
X. Wang, Y. Yin, and H.-G. Yu · 2005
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Perceptual image hashing via feature points: performance evaluation and tradeoffs
V. Monga and B. L. Evans · 2006
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Fast collision attack on MD5
M. Stevens · 2006
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Improved collision attack on hash function MD5
J. Liang and X.-J. Lai · 2007
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Near duplicate image detection: min-hash and tf-idf weighting
O. Chum, J. Philbin, A. Zisserman, et al · 2008
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Detecting duplicate images using hash code grouping, Jan. 12 2010
M. Li, B. Wang, W.-Y. Ma, and Z. Li · 2010
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High-confidence near-duplicate image detection
W. Dong, Z. Wang, M. Charikar, and K. Li · 2012
Cited alongside, same era.
ImageNet classification with deep convolutional neural networks
A. Krizhevsky, I. Sutskever, and G. E. Hinton · 2012
Cited alongside, same era.
Forbild: Efficient robust image hashing
M. Steinebach, H. Liu, and Y. Yannikos · 2012
Cited alongside, same era.
Evasion attacks against machine learning at test time
B. Biaggio, I. Corona, D. Maiorca, B. Nelson, N. Šrndić, P. Laskov, G. Giacinto, and F. Roli · 2013
Cited alongside, same era.
Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus · 2013
Cited alongside, same era.
JPEG-resistant adversarial images
R. Shin and D. Song · 2017
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Black-box adversarial attacks with limited queries and information
A. Ilyas, L. Engstrom, A. Athalye, and J. Lin · 2018
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Protecting jpeg images against adversarial attacks
A. Prakash, N. Moran, S. Garber, A. DiLillo, and J. Storer · 2018
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Poison frogs! targeted clean-label poisoning attacks on neural networks
A. Shafahi, W. R. Huang, M. Najibi, O. Suciu, C. Studer, T. Dumitras, and T. Goldstein · 2018
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Adversarial examples for hamming space search
E. Yang, T. Liu, C. Deng, and D. Tao · 2018
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Billion-scale similarity search with gpus
J. Johnson, M. Douze, and H. Jégou · 2019
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I. J. Goodfellow, J. Shlens, and C. Szegedy · 2014
Cited alongside, same era.
Deep learning of binary hash codes for fast image retrieval
K. Lin, H.-F. Yang, J.-H. Hsiao, and C.-S. Chen · 2015
Cited alongside, same era.
Deep semantic ranking based hashing for multi-label image retrieval
F. Zhao, Y. Huang, L. Wang, and T. Tan · 2015
Cited alongside, same era.
Efficient indexing of billion-scale datasets of deep descriptors
A. Babenko and V. Lempitsky · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Deep supervised hashing for fast image retrieval
H. Liu, R. Wang, S. Shan, and X. Chen · 2016
Cited alongside, same era.
Deepfool: a simple and accurate method to fool deep neural networks
S.-M. Moosavi-Dezfooli, A. Fawzi, and P. Frossard · 2016
Cited alongside, same era.
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EfficientNet: Rethinking model scaling for convolutional neural networks
M. Tan and Q. V. Le · 2019
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Targeted attack for deep hashing based retrieval
J. Bai, B. Chen, Y. Li, D. Wu, W. Guo, S.-t. Xia, and E.-h. Yang · 2020
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Preserving integrity in online social networks
A. Halevy, C. Canton Ferrer, H. Ma, U. Ozertem, P. Pantel, M. Saeidi, F. Silvestri, and V. Stoyanov · 2020
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Adversarial attacks and defenses in images, graphs and text: A review
H. X. Y. M. Hao-Chen, L. D. Deb, H. L. J.-L. T. Anil, and K. Jain · 2020
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Looks like it
N. Krawetz · 2020
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Towards transferable targeted attack
M. Li, C. Deng, T. Li, J. Yan, X. Gao, and H. Huang · 2020
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Enhancing cross-task black-box transferability of adversarial examples with dispersion reduction
Y. Lu, Y. Jia, J. Wang, B. Li, W. Chai, L. Carin, and S. Velipasalar · 2020
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Adversarial preprocessing: Understanding and preventing image-scaling attacks in machine learning
E. Quiring, D. Klein, D. Arp, M. Johns, and K. Rieck · 2020
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