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Semantic Adversarial Examples

Semantic Adversarial Examples

16 March 2018
Hossein Hosseini
Radha Poovendran
    GAN
    AAML
ArXivPDFHTML

Papers citing "Semantic Adversarial Examples"

50 / 115 papers shown
Title
Embedding Hidden Adversarial Capabilities in Pre-Trained Diffusion Models
Embedding Hidden Adversarial Capabilities in Pre-Trained Diffusion Models
Lucas Beerens
D. Higham
DiffM
WIGM
60
0
0
05 Apr 2025
"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models
"I am bad": Interpreting Stealthy, Universal and Robust Audio Jailbreaks in Audio-Language Models
Isha Gupta
David Khachaturov
Robert D. Mullins
AAML
AuLLM
65
1
0
02 Feb 2025
Natural Language Induced Adversarial Images
Natural Language Induced Adversarial Images
Xiaopei Zhu
Peiyang Xu
Guanning Zeng
Yingpeng Dong
Xiaolin Hu
AAML
33
0
0
11 Oct 2024
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack
SCA: Highly Efficient Semantic-Consistent Unrestricted Adversarial Attack
Zihao Pan
Weibin Wu
Yuhang Cao
Zibin Zheng
DiffM
AAML
65
1
0
03 Oct 2024
ReToMe-VA: Recursive Token Merging for Video Diffusion-based
  Unrestricted Adversarial Attack
ReToMe-VA: Recursive Token Merging for Video Diffusion-based Unrestricted Adversarial Attack
Ziyi Gao
Kai-xiang Chen
Zhipeng Wei
Tingshu Mou
Jingjing Chen
Zhiyu Tan
Hao Li
Yu-Gang Jiang
VGen
AAML
36
2
0
10 Aug 2024
Rethinking the Threat and Accessibility of Adversarial Attacks against
  Face Recognition Systems
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems
Yuxin Cao
Yumeng Zhu
Derui Wang
Sheng Wen
Minhui Xue
Jin Lu
Hao Ge
AAML
48
0
0
11 Jul 2024
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly
  Segmentation
Investigating the Semantic Robustness of CLIP-based Zero-Shot Anomaly Segmentation
Kevin Stangl
Marius Arvinte
Weilin Xu
Cory Cornelius
VLM
UQCV
40
0
0
13 May 2024
On Inherent Adversarial Robustness of Active Vision Systems
On Inherent Adversarial Robustness of Active Vision Systems
Amitangshu Mukherjee
Timur Ibrayev
Kaushik Roy
AAML
38
0
0
29 Mar 2024
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against
  Semantic Attacks
COMMIT: Certifying Robustness of Multi-Sensor Fusion Systems against Semantic Attacks
Zijian Huang
Wenda Chu
Linyi Li
Chejian Xu
Bo-wen Li
AAML
46
0
0
04 Mar 2024
Transcending Adversarial Perturbations: Manifold-Aided Adversarial
  Examples with Legitimate Semantics
Transcending Adversarial Perturbations: Manifold-Aided Adversarial Examples with Legitimate Semantics
Shuai Li
Xiaoyu Jiang
Xiaoguang Ma
AAML
21
0
0
05 Feb 2024
Where and How to Attack? A Causality-Inspired Recipe for Generating
  Counterfactual Adversarial Examples
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
Ruichu Cai
Yuxuan Zhu
Jie Qiao
Zefeng Liang
Furui Liu
Zhifeng Hao
CML
26
5
0
21 Dec 2023
AdvST: Revisiting Data Augmentations for Single Domain Generalization
AdvST: Revisiting Data Augmentations for Single Domain Generalization
Guangtao Zheng
Mengdi Huai
Aidong Zhang
38
15
0
20 Dec 2023
Adversarial Camera Patch: An Effective and Robust Physical-World Attack
  on Object Detectors
Adversarial Camera Patch: An Effective and Robust Physical-World Attack on Object Detectors
Kalibinuer Tiliwalidi
AAML
37
2
0
11 Dec 2023
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching
Mengda Xie
Yiling He
Meie Fang
AAML
33
1
0
27 Nov 2023
Instruct2Attack: Language-Guided Semantic Adversarial Attacks
Instruct2Attack: Language-Guided Semantic Adversarial Attacks
Jiang-Long Liu
Chen Wei
Yuxiang Guo
Heng Yu
Alan L. Yuille
S. Feizi
Chun Pong Lau
Rama Chellappa
DiffM
AAML
27
5
0
27 Nov 2023
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models
  Against Adversarial Attacks
A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
40
16
0
01 Oct 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion
  Perturbations
Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations
Hanjiang Hu
Zuxin Liu
Linyi Li
Jiacheng Zhu
Ding Zhao
30
0
0
22 Sep 2023
Stealthy Physical Masked Face Recognition Attack via Adversarial Style
  Optimization
Stealthy Physical Masked Face Recognition Attack via Adversarial Style Optimization
Huihui Gong
Minjing Dong
Siqi Ma
S. Çamtepe
Surya Nepal
Chang Xu
AAML
21
4
0
18 Sep 2023
Semantic Adversarial Attacks via Diffusion Models
Semantic Adversarial Attacks via Diffusion Models
Chenan Wang
Jinhao Duan
Chaowei Xiao
Edward Kim
Matthew C. Stamm
Kaidi Xu
DiffM
16
9
0
14 Sep 2023
Baseline Defenses for Adversarial Attacks Against Aligned Language
  Models
Baseline Defenses for Adversarial Attacks Against Aligned Language Models
Neel Jain
Avi Schwarzschild
Yuxin Wen
Gowthami Somepalli
John Kirchenbauer
Ping Yeh-Chiang
Micah Goldblum
Aniruddha Saha
Jonas Geiping
Tom Goldstein
AAML
60
340
0
01 Sep 2023
General Lipschitz: Certified Robustness Against Resolvable Semantic
  Transformations via Transformation-Dependent Randomized Smoothing
General Lipschitz: Certified Robustness Against Resolvable Semantic Transformations via Transformation-Dependent Randomized Smoothing
Dmitrii Korzh
Alireza Azadbakht
Maryam Tahmasbi
Alireza Javaheri
AAML
31
0
0
17 Aug 2023
CertPri: Certifiable Prioritization for Deep Neural Networks via
  Movement Cost in Feature Space
CertPri: Certifiable Prioritization for Deep Neural Networks via Movement Cost in Feature Space
Haibin Zheng
Jinyin Chen
Haibo Jin
AAML
24
7
0
18 Jul 2023
Multi-objective Evolutionary Search of Variable-length Composite
  Semantic Perturbations
Multi-objective Evolutionary Search of Variable-length Composite Semantic Perturbations
Jialiang Sun
Wen Yao
Tingsong Jiang
Xiaoqian Chen
AAML
28
0
0
13 Jul 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness
  and Controllability
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
Haotian Xue
Alexandre Araujo
Bin Hu
Yongxin Chen
DiffM
38
41
0
25 May 2023
Content-based Unrestricted Adversarial Attack
Content-based Unrestricted Adversarial Attack
Zhaoyu Chen
Bo-wen Li
Shuang Wu
Kaixun Jiang
Shouhong Ding
Wenqiang Zhang
DiffM
29
62
0
18 May 2023
Attacking Perceptual Similarity Metrics
Attacking Perceptual Similarity Metrics
Abhijay Ghildyal
Feng Liu
AAML
22
8
0
15 May 2023
Efficient Search of Comprehensively Robust Neural Architectures via
  Multi-fidelity Evaluation
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation
Jialiang Sun
Wen Yao
Tingsong Jiang
Xiaoqian Chen
AAML
40
9
0
12 May 2023
Optimization and Optimizers for Adversarial Robustness
Optimization and Optimizers for Adversarial Robustness
Hengyue Liang
Buyun Liang
Le Peng
Ying Cui
Tim Mitchell
Ju Sun
AAML
28
5
0
23 Mar 2023
Explainability and Robustness of Deep Visual Classification Models
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
41
2
0
03 Jan 2023
Addressing Mistake Severity in Neural Networks with Semantic Knowledge
Addressing Mistake Severity in Neural Networks with Semantic Knowledge
Natalie Abreu
Nathan Vaska
Victoria Helus
AAML
OOD
24
3
0
21 Nov 2022
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Assessing Neural Network Robustness via Adversarial Pivotal Tuning
Peter Ebert Christensen
Vésteinn Snaebjarnarson
Andrea Dittadi
Serge Belongie
Sagie Benaim
AAML
23
1
0
17 Nov 2022
Differential Evolution based Dual Adversarial Camouflage: Fooling Human
  Eyes and Object Detectors
Differential Evolution based Dual Adversarial Camouflage: Fooling Human Eyes and Object Detectors
Jialiang Sun
Tingsong Jiang
Wen Yao
Donghua Wang
Xiaoqian Chen
AAML
25
15
0
17 Oct 2022
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Natural Color Fool: Towards Boosting Black-box Unrestricted Attacks
Shengming Yuan
Qilong Zhang
Lianli Gao
Yaya Cheng
Jingkuan Song
AAML
24
42
0
05 Oct 2022
NCVX: A General-Purpose Optimization Solver for Constrained Machine and
  Deep Learning
NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning
Buyun Liang
Tim Mitchell
Ju Sun
OOD
18
7
0
03 Oct 2022
Optimization for Robustness Evaluation beyond $\ell_p$ Metrics
Optimization for Robustness Evaluation beyond ℓp\ell_pℓp​ Metrics
Hengyue Liang
Buyun Liang
Ying Cui
Tim Mitchell
Ju Sun
AAML
21
3
0
02 Oct 2022
Adversarial Color Projection: A Projector-based Physical Attack to DNNs
Adversarial Color Projection: A Projector-based Physical Attack to DNNs
Chen-Hao Hu
Weiwen Shi
Ling Tian
AAML
38
3
0
19 Sep 2022
Boosting Robustness Verification of Semantic Feature Neighborhoods
Boosting Robustness Verification of Semantic Feature Neighborhoods
Anan Kabaha
Dana Drachsler-Cohen
AAML
34
6
0
12 Sep 2022
Adversarial Color Film: Effective Physical-World Attack to DNNs
Adversarial Color Film: Effective Physical-World Attack to DNNs
Chen-Hao Hu
Weiwen Shi
AAML
103
14
0
02 Sep 2022
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries
Unrestricted Black-box Adversarial Attack Using GAN with Limited Queries
Dongbin Na
Sangwoo Ji
Jong Kim
AAML
35
17
0
24 Aug 2022
CARBEN: Composite Adversarial Robustness Benchmark
CARBEN: Composite Adversarial Robustness Benchmark
Lei Hsiung
Yun-Yun Tsai
Pin-Yu Chen
Tsung-Yi Ho
AAML
10
9
0
16 Jul 2022
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Adversarial Zoom Lens: A Novel Physical-World Attack to DNNs
Chen-Hao Hu
Weiwen Shi
AAML
26
5
0
23 Jun 2022
GSmooth: Certified Robustness against Semantic Transformations via
  Generalized Randomized Smoothing
GSmooth: Certified Robustness against Semantic Transformations via Generalized Randomized Smoothing
Zhongkai Hao
Chengyang Ying
Yinpeng Dong
Hang Su
Jun Zhu
Jian Song
AAML
18
21
0
09 Jun 2022
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Adversarial Laser Spot: Robust and Covert Physical-World Attack to DNNs
Chen-Hao Hu
Yilong Wang
Kalibinuer Tiliwalidi
Wen Li
AAML
15
16
0
02 Jun 2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning
  Systems
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
Zeyan Liu
Fengjun Li
Jingqiang Lin
Zhu Li
Bo Luo
AAML
15
1
0
31 May 2022
Hierarchical Distribution-Aware Testing of Deep Learning
Hierarchical Distribution-Aware Testing of Deep Learning
Wei Huang
Xingyu Zhao
Alec Banks
V. Cox
Xiaowei Huang
OOD
AAML
39
10
0
17 May 2022
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Adversarial Neon Beam: A Light-based Physical Attack to DNNs
Chen-Hao Hu
Weiwen Shi
Wen Li
AAML
38
8
0
02 Apr 2022
StyleFool: Fooling Video Classification Systems via Style Transfer
StyleFool: Fooling Video Classification Systems via Style Transfer
Yu Cao
Xi Xiao
Ruoxi Sun
Derui Wang
Minhui Xue
Sheng Wen
AAML
8
25
0
30 Mar 2022
Attacking deep networks with surrogate-based adversarial black-box
  methods is easy
Attacking deep networks with surrogate-based adversarial black-box methods is easy
Nicholas A. Lord
Romain Mueller
Luca Bertinetto
AAML
MLAU
19
24
0
16 Mar 2022
Adversarially Robust Learning with Tolerance
Adversarially Robust Learning with Tolerance
H. Ashtiani
Vinayak Pathak
Ruth Urner
AAML
26
9
0
02 Mar 2022
Holistic Adversarial Robustness of Deep Learning Models
Holistic Adversarial Robustness of Deep Learning Models
Pin-Yu Chen
Sijia Liu
AAML
47
16
0
15 Feb 2022
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