Adversarial Detection Avoidance Attacks: Evaluating the robustness of
perceptual hashing-based client-side scanning

Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning

17 June 2021

Ana-Maria Cretu

Yves-Alexandre de Montjoye

Papers citing "Adversarial Detection Avoidance Attacks: Evaluating the robustness of perceptual hashing-based client-side scanning"

9 / 9 papers shown

Title
When PETs misbehave: A Contextual Integrity analysis Ero Balsa Yan Shvartzshnaider 25 0 0 05 Dec 2023
Robust, privacy-preserving, transparent, and auditable on-device blocklisting Kurt Thomas Sarah Meiklejohn Michael A. Specter Xiang Wang Xavier Llorà Stephan Somogyi D. Kleidermacher 19 2 0 06 Apr 2023
One Protocol to Rule Them All? On Securing Interoperable Messaging Jenny Blessing Ross J. Anderson 38 1 0 24 Mar 2023
Poisoning Web-Scale Training Datasets is Practical Nicholas Carlini Matthew Jagielski Christopher A. Choquette-Choo Daniel Paleka Will Pearce Hyrum S. Anderson Andreas Terzis Kurt Thomas Florian Tramèr SILM 31 182 0 20 Feb 2023
Re-purposing Perceptual Hashing based Client Side Scanning for Physical Surveillance Ashish Hooda Andrey Labunets Tadayoshi Kohno Earlence Fernandes 19 2 0 08 Dec 2022
Learning to Break Deep Perceptual Hashing: The Use Case NeuralHash Lukas Struppek Dominik Hintersdorf Daniel Neider Kristian Kersting MIACV 21 47 0 12 Nov 2021
Bugs in our Pockets: The Risks of Client-Side Scanning H. Abelson Ross J. Anderson S. Bellovin Josh Benaloh M. Blaze ... Ronald L. Rivest J. Schiller B. Schneier Vanessa J. Teague Carmela Troncoso 69 39 0 14 Oct 2021
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 249 1,842 0 03 Feb 2017
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 317 5,847 0 08 Jul 2016