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Apple recently revealed its deep perceptual hashing system NeuralHash to detect child sexual abuse material (CSAM) on user devices before files are uploaded to its iCloud service.
A computational approach to edge detection
John F. Canny · 1986
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Approximate nearest neighbors: Towards removing the curse of dimensionality
Piotr Indyk and Rajeev Motwani · 1998
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Similarity search in high dimensions via hashing
Aristides Gionis, Piotr Indyk, and Rajeev Motwani · 1999
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Image quality assessment: from error visibility to structural similarity
Zhou Wang, Alan C. Bovik, Hamid R. Sheikh, and Eero P. Simoncelli · 2004
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Dimensionality reduction by learning an invariant mapping
R. Hadsell, S. Chopra, and Y. LeCun · 2006
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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Novel dataset for fine-grained image categorization
Aditya Khosla, Nityananda Jayadevaprakash, Bangpeng Yao, and Li Fei-Fei · 2011
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Intriguing properties of neural networks
Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus · 2014
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Explaining and harnessing adversarial examples
Ian Goodfellow, Jonathon Shlens, and Christian Szegedy · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Deep hashing for compact binary codes learning
Venice Erin Liong, Jiwen Lu, Gang Wang, Pierre Moulin, and Jie Zhou · 2015
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ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky, Jia Deng, Hao Su, Jonathan Krause, Sanjeev Satheesh, Sean Ma, Zhiheng Huang, Andrej Karpathy, Aditya Khosla, Michael Bernstein, Alexander C. Berg, and Li Fei-Fei · 2015
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Deep semantic ranking based hashing for multi-label image retrieval
F. Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan · 2015
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Deep supervised hashing for fast image retrieval
Haomiao Liu, Ruiping Wang, Shiguang Shan, and Xilin Chen · 2016
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Evaluating robustness of perceptual image hashing algorithms
Andrea Drmic, Marin Silic, Goran Delac, Klemo Vladimir, and Adrian S. Kurdija · 2017
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Deep supervised hashing for multi-label and large-scale image retrieval
Dayan Wu, Zheng Lin, Bo Li, Mingzhen Ye, and Weiping Wang · 2017
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Towards deep learning models resistant to adversarial attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt, Dimitris Tsipras, and Adrian Vladu · 2018
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Revhashnet: Perceptually de-hashing real-valued image hashes for similarity retrieval
Yongwei Wang, Hamid Palangi, Z. Jane Wang, and Haoqian Wang · 2018
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Brecahad: a dataset for breast cancer histopathological annotation and diagnosis
Alper Aksac, Douglas J Demetrick, Tansel Ozyer, and Reda Alhajj · 2019
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Searching for mobilenetv3
Andrew Howard, Mark Sandler, Grace Chu, Liang-Chieh Chen, Bo Chen, Mingxing Tan, Weijun Wang, Yukun Zhu, Ruoming Pang, Vijay Vasudevan, Quoc V. Le, and Hartwig Adam · 2019
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A style-based generator architecture for generative adversarial networks
Tero Karras, Samuli Laine, and Timo Aila · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, Alban Desmaison, Andreas Köpf, Edward Yang, Zachary DeVito, Martin Raison, Alykhan Tejani, Sasank Chilamkurthy, Benoit Steiner, Lu Fang, Junjie Bai, and Soumith Chintala · 2019
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Cybertipline - by the numbers, 2021
National Center for Missing & Exploited Children · 2021
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Apple’s csam detection technology, 2021
David Forsyth · 2021
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It’s not what it looks like: Manipulating perceptual hashing based applications
Qingying Hao, Licheng Luo, Steve TK Jan, and Gang Wang · 2021
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CSAM Detection - Technical Summary, 2021
Apple Inc · 2021
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Shubham Jain, Ana-Maria Cretu, and Yves-Alexandre de Montjoye · 2021
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imgaug, 2020
Alexander B. Jung, Kentaro Wada, Jon Crall, Satoshi Tanaka, Jake Graving, Christoph Reinders, Sarthak Yadav, Joy Banerjee, Gábor Vecsei, Adam Kraft, Zheng Rui, Jirka Borovec, Christian Vallentin, Semen Zhydenko, Kilian Pfeiffer, Ben Cook, Ismael Fernández, François-Michel De Rainville, Chi-Hung Weng, Abner Ayala-Acevedo, Raphael Meudec, Matias Laporte, et al · 2021
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Targeted attack for deep hashing based retrieval
Jiawang Bai, Bin Chen, Yiming Li, Dongxian Wu, Weiwei Guo, Shu-tao Xia, and En-hui Yang · 2020
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Stargan v2: Diverse image synthesis for multiple domains
Yunjey Choi, Youngjung Uh, Jaejun Yoo, and Jung-Woo Ha · 2020
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Adversarial collision attacks on image hashing functions
Brian Dolhansky and Cristian Canton-Ferrer · 2020
Cited alongside, same era.
Novelty detection and analysis in convolutional neural networks
Noam Eshed · 2020
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Adversarial examples for hamming space search
Erkun Yang, Tongliang Liu, Cheng Deng, and Dacheng Tao · 2020
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Bugs in our pockets: The risks of client-side scanning
Hal Abelson, Ross Anderson, Steven M. Bellovin, Josh Benaloh, Matt Blaze, Jon Callas, Whitfield Diffie, Susan Landau, Peter G. Neumann, Ronald L. Rivest, Jeffrey I. Schiller, Bruce Schneier, Vanessa Teague, and Carmela Troncoso · 2021
Cited alongside, same era.
Neuralhash collider, 2021
Anish Athalye · 2021
Cited alongside, same era.
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apple-neuralhash-attack, 2021
Lim Swee Kiat · 2021
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Neural hash collision creator, 2021
Yannic Kilcher · 2021
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Tweets on neuralhash, 2021
Sarah Jamie Lewis · 2021
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Photodna, 2015
Microsoft · 2021
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Regulation (EU) 2021/1232, 2021
Official Journal of the European Union · 2021
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A review of the cryptography behind the apple psi system, 2021
Benny Pinkas · 2021
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The all-seeing ”i”: Apple just declared war on your privacy, 2021
Edward Snowden · 2021
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Black lives matter protest at us embassy, 2020
Katie Crampton (WMUK) · 2021
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You see what i want you to see: Exploring targeted black-box transferability attack for hash-based image retrieval systems
Yanru Xiao and Cong Wang · 2021
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Appleneuralhash2onnx, 2021
Asuhariet Ygvar · 2021
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Photodna and limitations, 2021
Neal Krawetz · 2022
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