ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1908.02435
  4. Cited By
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
ArXiv (abs)PDFHTML

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

8 / 8 papers shown
A.I. Robustness: a Human-Centered Perspective on Technological
  Challenges and Opportunities
A.I. Robustness: a Human-Centered Perspective on Technological Challenges and OpportunitiesACM Computing Surveys (ACM CSUR), 2022
Andrea Tocchetti
Lorenzo Corti
Agathe Balayn
Mireia Yurrita
Philip Lippmann
Marco Brambilla
Jie Yang
368
33
0
17 Oct 2022
Neural Networks with A La Carte Selection of Activation Functions
Neural Networks with A La Carte Selection of Activation FunctionsSN Computer Science (SN Comput. Sci.), 2021
Moshe Sipper
234
10
0
24 Jun 2022
Optimal Activation Functions for the Random Features Regression Model
Optimal Activation Functions for the Random Features Regression ModelInternational Conference on Learning Representations (ICLR), 2022
Jianxin Wang
José Bento
333
4
0
31 May 2022
Robust Image Classification Using A Low-Pass Activation Function and DCT
  Augmentation
Robust Image Classification Using A Low-Pass Activation Function and DCT AugmentationIEEE Access (IEEE Access), 2020
Md Tahmid Hossain
S. Teng
Ferdous Sohel
Guojun Lu
370
11
0
18 Jul 2020
Smooth Adversarial Training
Smooth Adversarial Training
Cihang Xie
Mingxing Tan
Boqing Gong
Alan Yuille
Quoc V. Le
OOD
345
163
0
25 Jun 2020
The shape and simplicity biases of adversarially robust ImageNet-trained
  CNNs
The shape and simplicity biases of adversarially robust ImageNet-trained CNNs
Peijie Chen
Chirag Agarwal
Anh Totti Nguyen
AAML
477
20
0
16 Jun 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
AAMLFAtt
345
43
0
16 Jun 2020
Utilizing Network Properties to Detect Erroneous Inputs
Utilizing Network Properties to Detect Erroneous Inputs
Matt Gorbett
Nathaniel Blanchard
AAML
270
7
0
28 Feb 2020
1
Page 1 of 1