ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2012.10438
  4. Cited By
Efficient Training of Robust Decision Trees Against Adversarial Examples

Efficient Training of Robust Decision Trees Against Adversarial Examples

18 December 2020
D. Vos
S. Verwer
    AAML
ArXiv (abs)PDFHTML

Papers citing "Efficient Training of Robust Decision Trees Against Adversarial Examples"

15 / 15 papers shown
Title
Learning Optimal Classification Trees Robust to Distribution Shifts
Learning Optimal Classification Trees Robust to Distribution Shifts
Nathan Justin
S. Aghaei
Andrés Gómez
P. Vayanos
OOD
184
0
0
26 Oct 2023
Treant: Training Evasion-Aware Decision Trees
Treant: Training Evasion-Aware Decision Trees
Stefano Calzavara
Claudio Lucchese
Gabriele Tolomei
S. Abebe
S. Orlando
AAML
62
41
0
02 Jul 2019
Provably Robust Boosted Decision Stumps and Trees against Adversarial
  Attacks
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks
Maksym Andriushchenko
Matthias Hein
64
62
0
08 Jun 2019
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
91
1,838
0
06 May 2019
Robust Decision Trees Against Adversarial Examples
Robust Decision Trees Against Adversarial Examples
Hongge Chen
Huan Zhang
Duane S. Boning
Cho-Jui Hsieh
AAML
108
117
0
27 Feb 2019
Robustness May Be at Odds with Accuracy
Robustness May Be at Odds with Accuracy
Dimitris Tsipras
Shibani Santurkar
Logan Engstrom
Alexander Turner
Aleksander Madry
AAML
104
1,781
0
30 May 2018
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using
  Generative Models
Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Pouya Samangouei
Maya Kabkab
Rama Chellappa
AAMLGAN
84
1,178
0
17 May 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning
  Algorithms
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms
Han Xiao
Kashif Rasul
Roland Vollgraf
283
8,904
0
25 Aug 2017
MagNet: a Two-Pronged Defense against Adversarial Examples
MagNet: a Two-Pronged Defense against Adversarial Examples
Dongyu Meng
Hao Chen
AAML
48
1,208
0
25 May 2017
Transferability in Machine Learning: from Phenomena to Black-Box Attacks
  using Adversarial Samples
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
SILMAAML
114
1,739
0
24 May 2016
XGBoost: A Scalable Tree Boosting System
XGBoost: A Scalable Tree Boosting System
Tianqi Chen
Carlos Guestrin
809
38,961
0
09 Mar 2016
Distillation as a Defense to Adversarial Perturbations against Deep
  Neural Networks
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks
Nicolas Papernot
Patrick McDaniel
Xi Wu
S. Jha
A. Swami
AAML
111
3,072
0
14 Nov 2015
Evasion and Hardening of Tree Ensemble Classifiers
Evasion and Hardening of Tree Ensemble Classifiers
Alex Kantchelian
J. D. Tygar
A. Joseph
AAML
121
205
0
25 Sep 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAMLGAN
277
19,066
0
20 Dec 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
275
14,927
1
21 Dec 2013
1