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Sparse and Imperceivable Adversarial Attacks

Sparse and Imperceivable Adversarial Attacks

11 September 2019
Francesco Croce
Matthias Hein
    AAML
ArXivPDFHTML

Papers citing "Sparse and Imperceivable Adversarial Attacks"

33 / 33 papers shown
Title
GSBA$^K$: $top$-$K$ Geometric Score-based Black-box Attack
GSBAK^KK: toptoptop-KKK Geometric Score-based Black-box Attack
Md. Farhamdur Reza
Richeng Jin
Tianfu Wu
H. Dai
AAML
42
0
0
17 Mar 2025
UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models
UniGuard: Towards Universal Safety Guardrails for Jailbreak Attacks on Multimodal Large Language Models
Sejoon Oh
Yiqiao Jin
Megha Sharma
Donghyun Kim
Eric Ma
Gaurav Verma
Srijan Kumar
60
5
0
03 Nov 2024
S-CFE: Simple Counterfactual Explanations
S-CFE: Simple Counterfactual Explanations
Shpresim Sadiku
Moritz Wagner
Sai Ganesh Nagarajan
S. Pokutta
26
0
0
21 Oct 2024
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
AttackBench: Evaluating Gradient-based Attacks for Adversarial Examples
Antonio Emanuele Cinà
Jérôme Rony
Maura Pintor
Luca Demetrio
Ambra Demontis
Battista Biggio
Ismail Ben Ayed
Fabio Roli
ELM
AAML
SILM
44
6
0
30 Apr 2024
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
Sparse and Transferable Universal Singular Vectors Attack
Sparse and Transferable Universal Singular Vectors Attack
Kseniia Kuvshinova
Olga Tsymboi
Ivan V. Oseledets
AAML
24
0
0
25 Jan 2024
Adversarial Image Generation by Spatial Transformation in Perceptual
  Colorspaces
Adversarial Image Generation by Spatial Transformation in Perceptual Colorspaces
A. Aydin
A. Temi̇zel
39
4
0
21 Oct 2023
Understanding Pose and Appearance Disentanglement in 3D Human Pose
  Estimation
Understanding Pose and Appearance Disentanglement in 3D Human Pose Estimation
K. K. Nakka
Mathieu Salzmann
DRL
CoGe
21
2
0
20 Sep 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A
  Survey
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey
Hanieh Naderi
Ivan V. Bajić
3DPC
31
7
0
01 Jul 2023
How Deep Learning Sees the World: A Survey on Adversarial Attacks &
  Defenses
How Deep Learning Sees the World: A Survey on Adversarial Attacks & Defenses
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
37
49
0
18 May 2023
Attacks in Adversarial Machine Learning: A Systematic Survey from the
  Life-cycle Perspective
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Baoyuan Wu
Zihao Zhu
Li Liu
Qingshan Liu
Zhaofeng He
Siwei Lyu
AAML
44
21
0
19 Feb 2023
ExploreADV: Towards exploratory attack for Neural Networks
ExploreADV: Towards exploratory attack for Neural Networks
Tianzuo Luo
Yuyi Zhong
S. Khoo
AAML
22
1
0
01 Jan 2023
SAIF: Sparse Adversarial and Imperceptible Attack Framework
SAIF: Sparse Adversarial and Imperceptible Attack Framework
Tooba Imtiaz
Morgan Kohler
Jared Miller
Zifeng Wang
M. Sznaier
Octavia Camps
Octavia Camps
Jennifer Dy
AAML
21
0
0
14 Dec 2022
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for
  Image Classification
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification
Suorong Yang
Jinqiao Li
Jian Zhao
S. Furao
AAML
25
6
0
29 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Zhengyu Zhao
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
19
20
0
17 Nov 2022
On the interplay of adversarial robustness and architecture components:
  patches, convolution and attention
On the interplay of adversarial robustness and architecture components: patches, convolution and attention
Francesco Croce
Matthias Hein
41
6
0
14 Sep 2022
Learning to Accelerate Approximate Methods for Solving Integer
  Programming via Early Fixing
Learning to Accelerate Approximate Methods for Solving Integer Programming via Early Fixing
Longkang Li
Baoyuan Wu
13
3
0
05 Jul 2022
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack
Saliency Attack: Towards Imperceptible Black-box Adversarial Attack
Zeyu Dai
Shengcai Liu
Ke Tang
Qing Li
AAML
24
11
0
04 Jun 2022
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating
  Weather Conditions on the Camera Lens of Autonomous Systems
fakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions on the Camera Lens of Autonomous Systems
Alberto Marchisio
Giovanni Caramia
Maurizio Martina
Muhammad Shafique
AAML
33
8
0
27 May 2022
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks
Shutong Wu
Sizhe Chen
Cihang Xie
X. Huang
AAML
42
27
0
24 May 2022
Random Walks for Adversarial Meshes
Random Walks for Adversarial Meshes
Amir Belder
Gal Yefet
Ran Ben Izhak
A. Tal
AAML
25
2
0
15 Feb 2022
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep
  Learning Models
Query Efficient Decision Based Sparse Attacks Against Black-Box Deep Learning Models
Viet Vo
Ehsan Abbasnejad
D. Ranasinghe
AAML
22
14
0
31 Jan 2022
Efficient and Robust Classification for Sparse Attacks
Efficient and Robust Classification for Sparse Attacks
M. Beliaev
Payam Delgosha
Hamed Hassani
Ramtin Pedarsani
AAML
11
2
0
23 Jan 2022
The Fundamental Limits of Interval Arithmetic for Neural Networks
The Fundamental Limits of Interval Arithmetic for Neural Networks
M. Mirman
Maximilian Baader
Martin Vechev
17
6
0
09 Dec 2021
Adversarial Token Attacks on Vision Transformers
Adversarial Token Attacks on Vision Transformers
Ameya Joshi
Gauri Jagatap
C. Hegde
ViT
30
19
0
08 Oct 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 Saeed Mian
Navid Kardan
M. Shah
AAML
26
235
0
01 Aug 2021
Attack to Fool and Explain Deep Networks
Attack to Fool and Explain Deep Networks
Naveed Akhtar
M. Jalwana
Bennamoun
Ajmal Saeed Mian
AAML
19
33
0
20 Jun 2021
Imperceptible Adversarial Examples for Fake Image Detection
Imperceptible Adversarial Examples for Fake Image Detection
Quanyu Liao
Yuezun Li
Xiaoqiang Guo
Bin Kong
Yingxin Zhu
Jianlei Liu
Zhuqing Jiang
Qi Song
Xi Wu
AAML
97
33
0
03 Jun 2021
An Overview of Laser Injection against Embedded Neural Network Models
An Overview of Laser Injection against Embedded Neural Network Models
Mathieu Dumont
Pierre-Alain Moëllic
R. Viera
J. Dutertre
Rémi Bernhard
AAML
22
9
0
04 May 2021
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure
  DNN Accelerators
Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators
David Stutz
Nandhini Chandramoorthy
Matthias Hein
Bernt Schiele
AAML
MQ
20
18
0
16 Apr 2021
On Success and Simplicity: A Second Look at Transferable Targeted
  Attacks
On Success and Simplicity: A Second Look at Transferable Targeted Attacks
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
24
121
0
21 Dec 2020
Adversarial Ranking Attack and Defense
Adversarial Ranking Attack and Defense
Mo Zhou
Zhenxing Niu
Le Wang
Qilin Zhang
G. Hua
28
38
0
26 Feb 2020
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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