23 citations · 48 across the 17 of their papers we have counts for
5 papers · 1 filter
Information bottleneck through variational glasses
Slava Voloshynovskiy, Mouad Kondah, Shideh Rezaeifar +3
Information bottleneck (IB) principle [1] has become an important element in information-theoretic analysis of deep models. Many state-of-the-art generative models of both Variatio…
Robustification of deep net classifiers by key based diversified aggregation with pre-filtering
Olga Taran, Shideh Rezaeifar, Taras Holotyak +1
In this paper, we address a problem of machine learning system vulnerability to adversarial attacks. We propose and investigate a Key based Diversified Aggregation (KDA) mechanism…
Reconstruction of Privacy-Sensitive Data from Protected Templates
Shideh Rezaeifar, Behrooz Razeghi, Olga Taran +2
In this paper, we address the problem of data reconstruction from privacy-protected templates, based on recent concept of sparse ternary coding with ambiguization (STCA). The STCA…
Defending against adversarial attacks by randomized diversification
Olga Taran, Shideh Rezaeifar, Taras Holotyak +1
The vulnerability of machine learning systems to adversarial attacks questions their usage in many applications. In this paper, we propose a randomized diversification as a defense…
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…