23 citations · 81 across the 41 of their papers we have counts for
10 papers · 1 filter
Provable Performance Guarantees of Copy Detection Patterns
Joakim Tutt, Slava Voloshynovskiy
Copy Detection Patterns (CDPs) are crucial elements in modern security applications, playing a vital role in safeguarding industries such as food, pharmaceuticals, and cosmetics. C…
Printing variability of copy detection patterns
Roman Chaban, Olga Taran, Joakim Tutt +4
Copy detection pattern (CDP) is a novel solution for products' protection against counterfeiting, which gains its popularity in recent years. CDP attracts the anti-counterfeiting i…
Authentication of Copy Detection Patterns under Machine Learning Attacks: A Supervised Approach
Brian Pulfer, Roman Chaban, Yury Belousov +4
Copy detection patterns (CDP) are an attractive technology that allows manufacturers to defend their products against counterfeiting. The main assumption behind the protection mech…
Mobile authentication of copy detection patterns
Olga Taran, Joakim Tutt, Taras Holotyak +3
In the recent years, the copy detection patterns (CDP) attracted a lot of attention as a link between the physical and digital worlds, which is of great interest for the internet o…
Machine learning attack on copy detection patterns: are 1x1 patterns cloneable?
Roman Chaban, Olga Taran, Joakim Tutt +3
Nowadays, the modern economy critically requires reliable yet cheap protection solutions against product counterfeiting for the mass market. Copy detection patterns (CDP) are consi…
Mobile authentication of copy detection patterns: how critical is to know fakes?
Olga Taran, Joakim Tutt, Taras Holotyak +3
Protection of physical objects against counterfeiting is an important task for the modern economies. In recent years, the high-quality counterfeits appear to be closer to originals…
Clonability of anti-counterfeiting printable graphical codes: a machine learning approach
Olga Taran, Slavi Bonev, Slava Voloshynovskiy
In recent years, printable graphical codes have attracted a lot of attention enabling a link between the physical and digital worlds, which is of great interest for the IoT and bra…
Aggregation and Embedding for Group Membership Verification
Marzieh Gheisari, Teddy Furon, Laurent Amsaleg +2
This paper proposes a group membership verification protocol preventing the curious but honest server from reconstructing the enrolled signatures and inferring the identity of quer…
Bridging machine learning and cryptography in defence against adversarial attacks
Olga Taran, Shideh Rezaeifar, Slava Voloshynovskiy
In the last decade, deep learning algorithms have become very popular thanks to the achieved performance in many machine learning and computer vision tasks. However, most of the de…
Privacy Preserving Identification Using Sparse Approximation with Ambiguization
Behrooz Razeghi, Slava Voloshynovskiy, Dimche Kostadinov +1
In this paper, we consider a privacy preserving encoding framework for identification applications covering biometrics, physical object security and the Internet of Things (IoT). T…