most citedSNIFF: Reverse Engineering of Neural Networks with Fault Attacks

50 citations

5 papers

cs.RO2021★ 25 cited

IPAPRec: A promising tool for learning high-performance mapless navigation skills with deep reinforcement learning

Wei Zhang, Yunfeng Zhang, Ning Liu +2

This paper studies how to improve the generalization performance and learning speed of the navigation agents trained with deep reinforcement learning (DRL). Although DRL exhibits h…

physics.atom-ph2020★ 9 cited

Precision measurement of the and quadrupole moments in Lu

R. Kaewuam, T. R. Tan, Zhiqiang Zhang +3

Precision measurements of the Lu and quadrupole moments have been carried out giving and , respect…

physics.atom-ph2020★ 17 cited

Branching fractions for decays in Ba

Zhiqiang Zhang, K. J. Arnold, S. R. Chanu +3

Branching fractions for decays from the level in Ba have been measured with a single laser-cooled ion. Decay probabilities to , and $D_{5/2…

physics.optics2020★ 28 cited

Non-invasive optical focusing inside strongly scattering media with linear fluorescence

Dayan Li, Sujit Kumar Sahoo, Huy Quoc Lam +2

Non-invasive optical focusing inside scattering media is still a big challenge because inhomogeneous media scatter both incoming photons for focusing and outgoing photons for obser…

cs.CR2020★ 50 cited

SNIFF: Reverse Engineering of Neural Networks with Fault Attacks

Jakub Breier, Dirmanto Jap, Xiaolu Hou +2

Neural networks have been shown to be vulnerable against fault injection attacks. These attacks change the physical behavior of the device during the computation, resulting in a ch…