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Optimism in the Face of Adversity: Understanding and Improving Deep
  Learning through Adversarial Robustness

Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness

19 October 2020
Guillermo Ortiz-Jiménez
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
    AAML
ArXivPDFHTML

Papers citing "Optimism in the Face of Adversity: Understanding and Improving Deep Learning through Adversarial Robustness"

12 / 12 papers shown
Title
S$^4$ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
S4^44ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
Yongxiang Liu
Bowen Peng
Li Liu
X. Li
57
0
0
13 Oct 2024
Conditional Generative Models are Provably Robust: Pointwise Guarantees
  for Bayesian Inverse Problems
Conditional Generative Models are Provably Robust: Pointwise Guarantees for Bayesian Inverse Problems
Fabian Altekrüger
Paul Hagemann
Gabriele Steidl
TPM
16
9
0
28 Mar 2023
TransFool: An Adversarial Attack against Neural Machine Translation
  Models
TransFool: An Adversarial Attack against Neural Machine Translation Models
Sahar Sadrizadeh
Ljiljana Dolamic
P. Frossard
SILM
AAML
19
12
0
02 Feb 2023
Adversarial Detection by Approximation of Ensemble Boundary
Adversarial Detection by Approximation of Ensemble Boundary
T. Windeatt
AAML
24
0
0
18 Nov 2022
A neural anisotropic view of underspecification in deep learning
A neural anisotropic view of underspecification in deep learning
Guillermo Ortiz-Jiménez
I. Salazar-Reque
Apostolos Modas
Seyed-Mohsen Moosavi-Dezfooli
P. Frossard
21
6
0
29 Apr 2021
Bio-inspired Robustness: A Review
Bio-inspired Robustness: A Review
Harshitha Machiraju
Oh-hyeon Choung
P. Frossard
Michael H. Herzog
AAML
16
1
0
16 Mar 2021
Local Competition and Stochasticity for Adversarial Robustness in Deep
  Learning
Local Competition and Stochasticity for Adversarial Robustness in Deep Learning
Konstantinos P. Panousis
S. Chatzis
Antonios Alexos
Sergios Theodoridis
BDL
AAML
OOD
56
19
0
04 Jan 2021
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
221
430
0
25 Sep 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
216
787
0
26 Aug 2019
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
210
669
0
17 Feb 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Guy Katz
Clark W. Barrett
D. Dill
Kyle D. Julian
Mykel Kochenderfer
AAML
222
1,832
0
03 Feb 2017
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
250
5,813
0
08 Jul 2016
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