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Improved Adversarial Robustness by Reducing Open Space Risk via Tent
  Activations

Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations

7 August 2019
Andras Rozsa
Terrance E. Boult
    AAML
ArXivPDFHTML

Papers citing "Improved Adversarial Robustness by Reducing Open Space Risk via Tent Activations"

6 / 6 papers shown
Title
Neural Networks with A La Carte Selection of Activation Functions
Neural Networks with A La Carte Selection of Activation Functions
Moshe Sipper
24
7
0
24 Jun 2022
Robust Image Classification Using A Low-Pass Activation Function and DCT
  Augmentation
Robust Image Classification Using A Low-Pass Activation Function and DCT Augmentation
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
16
10
0
18 Jul 2020
SPLASH: Learnable Activation Functions for Improving Accuracy and
  Adversarial Robustness
SPLASH: Learnable Activation Functions for Improving Accuracy and Adversarial Robustness
Mohammadamin Tavakoli
Forest Agostinelli
Pierre Baldi
AAML
FAtt
36
39
0
16 Jun 2020
Utilizing Network Properties to Detect Erroneous Inputs
Utilizing Network Properties to Detect Erroneous Inputs
Matt Gorbett
Nathaniel Blanchard
AAML
21
6
0
28 Feb 2020
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,675
0
05 Dec 2016
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
296
3,112
0
04 Nov 2016
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