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On the Design of Black-box Adversarial Examples by Leveraging
  Gradient-free Optimization and Operator Splitting Method

On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method

26 July 2019
Pu Zhao
Sijia Liu
Pin-Yu Chen
Nghia Hoang
Kaidi Xu
B. Kailkhura
Xue Lin
    AAML
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Papers citing "On the Design of Black-box Adversarial Examples by Leveraging Gradient-free Optimization and Operator Splitting Method"

10 / 10 papers shown
Title
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial
  Attack
BruSLeAttack: A Query-Efficient Score-Based Black-Box Sparse Adversarial Attack
Viet Vo
Ehsan Abbasnejad
D. Ranasinghe
AAML
33
5
0
08 Apr 2024
Trust Regions for Explanations via Black-Box Probabilistic Certification
Trust Regions for Explanations via Black-Box Probabilistic Certification
Amit Dhurandhar
Swagatam Haldar
Dennis L. Wei
K. Ramamurthy
FAtt
19
2
0
17 Feb 2024
Advances in adversarial attacks and defenses in computer vision: A
  survey
Advances in adversarial attacks and defenses in computer vision: A survey
Naveed Akhtar
Ajmal Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image
  Classifiers
SPAA: Stealthy Projector-based Adversarial Attacks on Deep Image Classifiers
Bingyao Huang
Haibin Ling
AAML
17
19
0
10 Dec 2020
A Primer on Zeroth-Order Optimization in Signal Processing and Machine
  Learning
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
Sijia Liu
Pin-Yu Chen
B. Kailkhura
Gaoyuan Zhang
A. Hero III
P. Varshney
11
224
0
11 Jun 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve
  Adversarial Robustness
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
50
63
0
02 Mar 2020
Defending against Backdoor Attack on Deep Neural Networks
Defending against Backdoor Attack on Deep Neural Networks
Kaidi Xu
Sijia Liu
Pin-Yu Chen
Pu Zhao
X. Lin
Xue Lin
AAML
18
47
0
26 Feb 2020
Taking Care of The Discretization Problem: A Comprehensive Study of the
  Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer
  Domain
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
20
18
0
19 May 2019
Truncated Variance Reduction: A Unified Approach to Bayesian
  Optimization and Level-Set Estimation
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic
Jonathan Scarlett
Andreas Krause
V. Cevher
64
89
0
24 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
281
5,835
0
08 Jul 2016
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