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2004.04479
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On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems
9 April 2020
I. Tyukin
D. Higham
A. Gorban
AAML
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Papers citing
"On Adversarial Examples and Stealth Attacks in Artificial Intelligence Systems"
6 / 6 papers shown
Title
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning
Alexander Bastounis
Alexander N. Gorban
Anders C. Hansen
D. Higham
Danil Prokhorov
Oliver J. Sutton
I. Tyukin
Qinghua Zhou
OOD
18
4
0
13 Sep 2023
Can We Rely on AI?
D. Higham
AAML
43
0
0
29 Aug 2023
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
Alexander Bastounis
A. Hansen
Verner Vlacic
AAML
OOD
32
28
0
13 Sep 2021
High-dimensional separability for one- and few-shot learning
Alexander N. Gorban
Bogdan Grechuk
Evgeny M. Mirkes
Sergey V. Stasenko
I. Tyukin
DRL
37
20
0
28 Jun 2021
The Feasibility and Inevitability of Stealth Attacks
I. Tyukin
D. Higham
Alexander Bastounis
Eliyas Woldegeorgis
Alexander N. Gorban
AAML
22
19
0
26 Jun 2021
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,842
0
08 Jul 2016
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