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Generating Adversarial Examples with Task Oriented Multi-Objective
  Optimization

Generating Adversarial Examples with Task Oriented Multi-Objective Optimization

26 April 2023
Anh-Vu Bui
Trung Le
He Zhao
Quan Hung Tran
Paul Montague
Dinh Q. Phung
    AAML
ArXivPDFHTML

Papers citing "Generating Adversarial Examples with Task Oriented Multi-Objective Optimization"

11 / 11 papers shown
Title
RobustBench: a standardized adversarial robustness benchmark
RobustBench: a standardized adversarial robustness benchmark
Francesco Croce
Maksym Andriushchenko
Vikash Sehwag
Edoardo Debenedetti
Nicolas Flammarion
M. Chiang
Prateek Mittal
Matthias Hein
VLM
265
689
0
19 Oct 2020
Reliable evaluation of adversarial robustness with an ensemble of
  diverse parameter-free attacks
Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks
Francesco Croce
Matthias Hein
AAML
179
1,821
0
03 Mar 2020
Gradient Surgery for Multi-Task Learning
Gradient Surgery for Multi-Task Learning
Tianhe Yu
Saurabh Kumar
Abhishek Gupta
Sergey Levine
Karol Hausman
Chelsea Finn
93
1,190
0
19 Jan 2020
Pareto Multi-Task Learning
Pareto Multi-Task Learning
Xi Lin
Hui-Ling Zhen
Zhenhua Li
Qingfu Zhang
Sam Kwong
46
346
0
30 Dec 2019
Adversarial Example Generation using Evolutionary Multi-objective
  Optimization
Adversarial Example Generation using Evolutionary Multi-objective Optimization
Takahiro Suzuki
Shingo Takeshita
S. Ono
AAML
27
22
0
30 Dec 2019
Adversarial Attack Generation Empowered by Min-Max Optimization
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang
Tianyun Zhang
Sijia Liu
Pin-Yu Chen
Jiacen Xu
M. Fardad
Yangqiu Song
AAML
44
35
0
09 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
72
17,950
0
28 May 2019
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
108
2,520
0
26 Oct 2016
Stein Variational Gradient Descent: A General Purpose Bayesian Inference
  Algorithm
Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm
Qiang Liu
Dilin Wang
BDL
54
1,082
0
16 Aug 2016
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
277
43,511
0
17 Sep 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
157
14,831
1
21 Dec 2013
1