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Our increasing reliance on digital technology for personal, economic, and government affairs has made it essential to secure the communications and devices of private citizens, businesses, and governments.
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“The Risks of Key Recovery, Key Escrow, and Trusted Third-Party Encryption” A report by an ad hoc group of cryptographers and computer scientists, 1997
Hal Abelson et al · 1997
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“Cisco Architecture for Lawful Intercept in IP Networks”, Internet Requests for Comments, 2004
F. Baker, B. Foster and C. Sharp · 2004
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“Children’s Databases—Safety and Privacy”
Ross Anderson et al · 2006
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“Can machine learning be secure?”
Marco Barreno et al · 2006
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“The Athens Affair”
Vassilis Prevelakis and Diomidis Spinellis · 2007
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“Exploiting Lawful Intercept to Wiretap the Internet”, Black Hat DC, 2010
Tom Cross · 2010
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“Poisoning Attacks against Support Vector Machines”
Battista Biggio, Blaine Nelson and Pavel Laskov · 2012
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“Evasion attacks against machine learning at test time”
Battista Biggio et al · 2013
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“The Large Immortal Machine and the Ticking Time Bomb”
Susan Landau · 2013
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“Intriguing properties of neural networks”
Christian Szegedy et al · 2013
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Jean-Baptiste Truong, Pratyush Maini, Robert. Walls and Nicolas Papernot · 2013
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“Keys Under Doormats: Mandating Insecurity by Requiring Government Access to All Data and Communications”
Harold Abelson et al · 2015
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“Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures”
Matt Fredrikson, Somesh Jha and Thomas Ristenpart · 2015
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Microsoft
“PhotoDNA”, 2015 · 2015
Earlier work this paper cites.
“Security metrics for the Android ecosystem”
Daniel Thomas, Alastair Beresford and Andy Rice · 2015
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“How Moscow Uses Interpol to Pursue Its Enemies”
Andrew Higgins · 2016
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“BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain”
Tianyu Gu, Brendan Dolan-Gavitt and Siddharth Garg · 2017
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“Universal Adversarial Perturbations”
Seyed-Mohsen Moosavi-Dezfooli, Alhussein Fawzi, Omar Fawzi and Pascal Frossard · 2017
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“Gender Shades: Intersectional Accuracy Disparities in Commercial Gender Classification”
Joy Buolamwini and Timnit Gebru · 2018
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Washington, DC: National Academy Press, 2018
“Decrypting the Encryption Debate: A Framework for Decision Makers” · 2018
Cited alongside, same era.
“Four steps we’re taking today to fight terrorism online”, 2018
Google · 2018
Cited alongside, same era.
“Technical Report on the CleverHans v2.1.0 Adversarial Examples Library”
Nicolas Papernot et al · 2018
Cited alongside, same era.
“Rethinking the Detection of Child Sexual Abuse Imagery on the Internet”
Elie Bursztein · 2019
Cited alongside, same era.
“A Complete List of All (arXiv) Adversarial Example Papers”, 2021
Nicholas Carlini · 2019
Cited alongside, same era.
“Moving the Encryption Policy Conversation Forward”, 2019
Carnegie Endowment for International Peace · 2019
“On Adaptive Attacks to Adversarial Example Defenses”
Florian Tramèr, Nicholas Carlini, Wieland Brendel and Aleksander Madry · 2020
Later among the works it cites.
“Security Threat Model Review of Apple’s Child Safety Features”, 2021
Apple · 2021
Closest in time.
“Expanded Protections for Children”, 2021
Apple Inc · 2021
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“NeuralHash Collider”, 2021
Anish Athalye · 2021
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“Apple says collision in child-abuse hashing system is not a concern”
Russell Brandom · 2021
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“ImageNet contains naturally occurring NeuralHash collisions”, 2021
Brad Dwyer · 2021
Closest in time.
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Cited alongside, same era.
“Combating Hate and Extremism”, 2019
Facebook · 2019
Cited alongside, same era.
“Online Child Protection”, 2019
Facebook · 2019
Cited alongside, same era.
“PRADA: Protecting against DNN Model Stealing Attacks”
Mika Juuti, Sebastian Szyller, Samuel Marchal and N. Asokan · 2019
Cited alongside, same era.
“Facebook open-sources algorithms for detecting child exploitation and terrorism imagery”
Casey Newton · 2019
Cited alongside, same era.
“Robustness May Be at Odds with Accuracy”
Dimitris Tsipras et al · 2019
Cited alongside, same era.
“Wiretap Report”, 2020
Administrative Office of the United States Courts · 2020
Cited alongside, same era.
GCHQ · 2021
Closest in time.
“Apple’s New ‘Child Safety’ Plan for iPhones Isn’t So Safe”, 2021
Daniel Gillmor · 2021
Closest in time.
“It’s Not What It Looks Like: Manipulating Perceptual Hashing based Applications”, 2021
Qingying Hao, Licheng Luo, Steve.K. Jan and Gang Wang · 2021
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Shubham Jain, Ana-Maria Creţu and Yves-Alexandre de Montjoye · 2021
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“PhotoDNA and Limitations”, 2021
Neal Krawetz · 2021
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“Identifying Harmful Media in End-to-End Encrypted Communication: Efficient Private Membership Computation”
Anunay Kulshrestha and Jonathan Mayer · 2021
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“Apple letting the content-scanning genie out of the bottle”
Steven Murdoch · 2021
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“Apple’s Compromises in China: 5 Takeaways”
Jack Nicas · 2021
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“If You Build It, They Will Come: Apple Has Opened the Backdoor to Increased Surveillance and Censorship Around the World”
Kurt Opsahl · 2021
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“Apple’s New Child Safety Technology Might Harm More Kids Than It Helps”
Elissa. Redmiles · 2021
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“Overview of Apple’s Client-side CSAM Scanning”
Eric Rescorla · 2021
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“The Apple Client-Side Scanning System”
Paul Rosenzweig · 2021
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“Apple’s Software Chief Explains ’Misunderstood’ iPhone Child-Protection Features”
Joanna Stern · 2021
Closest in time.
“Detecting Adversarial Examples Is (Nearly) As Hard As Classifying Them”
Florian Tramèr · 2021
Closest in time.
“Google and Apple, Under Pressure From Russia, Remove Voting App”
Anton Troianovski and Adam Satariano · 2021
Closest in time.
“Draft Online Safety Bill”, 2021
UK Parliament · 2021
Closest in time.