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Trust Region Based Adversarial Attack on Neural Networks

Trust Region Based Adversarial Attack on Neural Networks

16 December 2018
Z. Yao
A. Gholami
Peng Xu
Kurt Keutzer
Michael W. Mahoney
    AAML
ArXivPDFHTML

Papers citing "Trust Region Based Adversarial Attack on Neural Networks"

13 / 13 papers shown
Title
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà
Jérôme Rony
Maura Pintor
Christian Scano
Ambra Demontis
Battista Biggio
Ismail Ben Ayed
Fabio Roli
ELM
AAML
SILM
46
8
0
30 Apr 2024
Towards Transferable Adversarial Attacks with Centralized Perturbation
Towards Transferable Adversarial Attacks with Centralized Perturbation
Shangbo Wu
Yu-an Tan
Yajie Wang
Ruinan Ma
Wencong Ma
Yuan-zhang Li
AAML
35
9
0
11 Dec 2023
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial
  Robustness
Semi-Implicit Hybrid Gradient Methods with Application to Adversarial Robustness
Beomsu Kim
Junghoon Seo
AAML
28
0
0
21 Feb 2022
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Triangle Attack: A Query-efficient Decision-based Adversarial Attack
Xiaosen Wang
Zeliang Zhang
Kangheng Tong
Dihong Gong
Kun He
Zhifeng Li
Wei Liu
AAML
24
56
0
13 Dec 2021
Kryptonite: An Adversarial Attack Using Regional Focus
Kryptonite: An Adversarial Attack Using Regional Focus
Yogesh Kulkarni
Krisha Bhambani
AAML
19
3
0
23 Aug 2021
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 Mian
Navid Kardan
M. Shah
AAML
41
236
0
01 Aug 2021
Attack to Fool and Explain Deep Networks
Attack to Fool and Explain Deep Networks
Naveed Akhtar
M. Jalwana
Bennamoun
Ajmal Mian
AAML
32
33
0
20 Jun 2021
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
AdvFoolGen: Creating Persistent Troubles for Deep Classifiers
Yuzhen Ding
Nupur Thakur
Baoxin Li
AAML
24
3
0
20 Jul 2020
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Z. Yao
A. Gholami
Sheng Shen
Mustafa Mustafa
Kurt Keutzer
Michael W. Mahoney
ODL
39
275
0
01 Jun 2020
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
HAWQ-V2: Hessian Aware trace-Weighted Quantization of Neural Networks
Zhen Dong
Z. Yao
Yaohui Cai
Daiyaan Arfeen
A. Gholami
Michael W. Mahoney
Kurt Keutzer
MQ
45
275
0
10 Nov 2019
Large batch size training of neural networks with adversarial training
  and second-order information
Large batch size training of neural networks with adversarial training and second-order information
Z. Yao
A. Gholami
Daiyaan Arfeen
Richard Liaw
Joseph E. Gonzalez
Kurt Keutzer
Michael W. Mahoney
ODL
14
42
0
02 Oct 2018
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp
  Minima
On Large-Batch Training for Deep Learning: Generalization Gap and Sharp Minima
N. Keskar
Dheevatsa Mudigere
J. Nocedal
M. Smelyanskiy
P. T. P. Tang
ODL
310
2,896
0
15 Sep 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
326
5,849
0
08 Jul 2016
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