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Adversarial Machine Learning at Scale

Adversarial Machine Learning at Scale

4 November 2016
Alexey Kurakin
Ian Goodfellow
Samy Bengio
    AAML
ArXivPDFHTML

Papers citing "Adversarial Machine Learning at Scale"

50 / 441 papers shown
Title
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
DispBench: Benchmarking Disparity Estimation to Synthetic Corruptions
Shashank Agnihotri
Amaan Ansari
Annika Dackermann
Fabian Rösch
M. Keuper
50
0
0
08 May 2025
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability
Constrained Network Adversarial Attacks: Validity, Robustness, and Transferability
Anass Grini
Oumaima Taheri
Btissam El Khamlichi
Amal El Fallah-Seghrouchni
AAML
44
0
0
02 May 2025
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation
Evaluation and Verification of Physics-Informed Neural Models of the Grad-Shafranov Equation
Fauzan Nazranda Rizqan
Matthew Hole
Charles Gretton
41
0
0
29 Apr 2025
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Augmenting Perceptual Super-Resolution via Image Quality Predictors
Fengjia Zhang
Samrudhdhi B. Rangrej
Tristan Aumentado-Armstrong
Afsaneh Fazly
Alex Levinshtein
SupR
72
0
0
25 Apr 2025
aiXamine: Simplified LLM Safety and Security
aiXamine: Simplified LLM Safety and Security
Fatih Deniz
Dorde Popovic
Yazan Boshmaf
Euisuh Jeong
M. Ahmad
Sanjay Chawla
Issa M. Khalil
ELM
77
0
0
21 Apr 2025
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Towards Model Resistant to Transferable Adversarial Examples via Trigger Activation
Yi Yu
Song Xia
Xun Lin
Chenqi Kong
Wenhan Yang
Shijian Lu
Yap-Peng Tan
Alex C. Kot
AAML
SILM
137
0
0
20 Apr 2025
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Two is Better than One: Efficient Ensemble Defense for Robust and Compact Models
Yoojin Jung
Byung Cheol Song
AAML
VLM
MQ
36
0
0
07 Apr 2025
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
Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution
Yihao Huang
Xin Luo
Qing Guo
Felix Juefei-Xu
Xiaojun Jia
Weikai Miao
G. Pu
Yang Liu
50
1
0
06 Mar 2025
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Familiarity-Based Open-Set Recognition Under Adversarial Attacks
Philip Enevoldsen
Christian Gundersen
Nico Lang
Serge J. Belongie
Christian Igel
59
1
0
03 Jan 2025
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification
Chunheng Zhao
P. Pisu
G. Comert
N. Begashaw
Varghese Vaidyan
Nina Christine Hubig
AAML
24
0
0
31 Dec 2024
Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context
Human-Readable Adversarial Prompts: An Investigation into LLM Vulnerabilities Using Situational Context
Nilanjana Das
Edward Raff
Manas Gaur
AAML
103
1
0
20 Dec 2024
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
FAIR-TAT: Improving Model Fairness Using Targeted Adversarial Training
Tejaswini Medi
Steffen Jung
M. Keuper
AAML
36
3
0
30 Oct 2024
Obtaining Lower Query Complexities through Lightweight Zeroth-Order
  Proximal Gradient Algorithms
Obtaining Lower Query Complexities through Lightweight Zeroth-Order Proximal Gradient Algorithms
Bin Gu
Xiyuan Wei
Hualin Zhang
Yi Chang
Heng-Chiao Huang
FedML
21
0
0
03 Oct 2024
Improving Adversarial Robustness for 3D Point Cloud Recognition at
  Test-Time through Purified Self-Training
Improving Adversarial Robustness for 3D Point Cloud Recognition at Test-Time through Purified Self-Training
Jinpeng Lin
Xulei Yang
Tianrui Li
Xun Xu
3DPC
28
0
0
23 Sep 2024
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
2DSig-Detect: a semi-supervised framework for anomaly detection on image data using 2D-signatures
Xinheng Xie
Kureha Yamaguchi
Margaux Leblanc
Simon Malzard
Varun Chhabra
Victoria Nockles
Yue-bo Wu
AAML
37
0
0
08 Sep 2024
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Robust Fast Adaptation from Adversarially Explicit Task Distribution Generation
Cheems Wang
Yiqin Lv
Yixiu Mao
Yun Qu
Yi Tian Xu
Xiangyang Ji
OOD
TTA
51
6
0
28 Jul 2024
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
Representation Learning and Identity Adversarial Training for Facial Behavior Understanding
Mang Ning
A. A. Salah
Itir Onal Ertugrul
CVBM
75
4
0
15 Jul 2024
$L_p$-norm Distortion-Efficient Adversarial Attack
LpL_pLp​-norm Distortion-Efficient Adversarial Attack
Chao Zhou
Yuan-Gen Wang
Zi-Jia Wang
Xiangui Kang
29
0
0
03 Jul 2024
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
HyperSIGMA: Hyperspectral Intelligence Comprehension Foundation Model
Di Wang
Meiqi Hu
Yao Jin
Yuchun Miao
Jiaqi Yang
...
Lefei Zhang
Chen Wu
Bo Du
Dacheng Tao
Liangpei Zhang
59
25
0
17 Jun 2024
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
One Perturbation is Enough: On Generating Universal Adversarial Perturbations against Vision-Language Pre-training Models
Hao Fang
Jiawei Kong
Wenbo Yu
Bin Chen
Jiawei Li
Hao Wu
Ke Xu
Ke Xu
AAML
VLM
40
13
0
08 Jun 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective
Nils Philipp Walter
Linara Adilova
Jilles Vreeken
Michael Kamp
AAML
43
2
0
27 May 2024
Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language
  Models via Role-playing Image Character
Visual-RolePlay: Universal Jailbreak Attack on MultiModal Large Language Models via Role-playing Image Character
Siyuan Ma
Weidi Luo
Yu Wang
Xiaogeng Liu
33
20
0
25 May 2024
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Towards Certification of Uncertainty Calibration under Adversarial Attacks
Cornelius Emde
Francesco Pinto
Thomas Lukasiewicz
Philip H. S. Torr
Adel Bibi
AAML
40
0
0
22 May 2024
From Attack to Defense: Insights into Deep Learning Security Measures in
  Black-Box Settings
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings
Firuz Juraev
Mohammed Abuhamad
Eric Chan-Tin
George K. Thiruvathukal
Tamer Abuhmed
AAML
22
0
0
03 May 2024
Impact of Architectural Modifications on Deep Learning Adversarial
  Robustness
Impact of Architectural Modifications on Deep Learning Adversarial Robustness
Firuz Juraev
Mohammed Abuhamad
Simon S. Woo
George K Thiruvathukal
Tamer Abuhmed
AAML
30
0
0
03 May 2024
Robust Decentralized Learning with Local Updates and Gradient Tracking
Robust Decentralized Learning with Local Updates and Gradient Tracking
Sajjad Ghiasvand
Amirhossein Reisizadeh
Mahnoosh Alizadeh
Ramtin Pedarsani
28
3
0
02 May 2024
Don't Say No: Jailbreaking LLM by Suppressing Refusal
Don't Say No: Jailbreaking LLM by Suppressing Refusal
Yukai Zhou
Wenjie Wang
AAML
34
15
0
25 Apr 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With
  FGSM
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSM
Linyu Tang
Lei Zhang
AAML
27
3
0
18 Mar 2024
Attacking Transformers with Feature Diversity Adversarial Perturbation
Attacking Transformers with Feature Diversity Adversarial Perturbation
Chenxing Gao
Hang Zhou
Junqing Yu
Yuteng Ye
Jiale Cai
Junle Wang
Wei Yang
AAML
32
3
0
10 Mar 2024
Catastrophic Overfitting: A Potential Blessing in Disguise
Catastrophic Overfitting: A Potential Blessing in Disguise
Mengnan Zhao
Lihe Zhang
Yuqiu Kong
Baocai Yin
AAML
39
1
0
28 Feb 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Adversarial Example Soups: Improving Transferability and Stealthiness for Free
Bo Yang
Hengwei Zhang
Jin-dong Wang
Yulong Yang
Chenhao Lin
Chao Shen
Zhengyu Zhao
SILM
AAML
68
1
0
27 Feb 2024
Unleashing the Power of Imbalanced Modality Information for Multi-modal
  Knowledge Graph Completion
Unleashing the Power of Imbalanced Modality Information for Multi-modal Knowledge Graph Completion
Yichi Zhang
Zhuo Chen
Lei Liang
Hua-zeng Chen
Wen Zhang
51
4
0
22 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially
  Robust Defense
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense
Ryota Iijima
Sayaka Shiota
Hitoshi Kiya
28
6
0
11 Feb 2024
Set-Based Training for Neural Network Verification
Set-Based Training for Neural Network Verification
Lukas Koller
Tobias Ladner
Matthias Althoff
AAML
43
1
0
26 Jan 2024
How Smooth Is Attention?
How Smooth Is Attention?
Valérie Castin
Pierre Ablin
Gabriel Peyré
AAML
40
9
0
22 Dec 2023
Continual Adversarial Defense
Continual Adversarial Defense
Qian Wang
Yaoyao Liu
Hefei Ling
Yingwei Li
Qihao Liu
Ping Li
AAML
54
3
0
15 Dec 2023
An adversarial attack approach for eXplainable AI evaluation on deepfake
  detection models
An adversarial attack approach for eXplainable AI evaluation on deepfake detection models
Balachandar Gowrisankar
V. Thing
AAML
26
11
0
08 Dec 2023
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language
  Models
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models
Xunguang Wang
Zhenlan Ji
Pingchuan Ma
Zongjie Li
Shuai Wang
MLLM
35
11
0
04 Dec 2023
Improving Feature Stability during Upsampling -- Spectral Artifacts and
  the Importance of Spatial Context
Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context
Shashank Agnihotri
Julia Grabinski
M. Keuper
30
6
0
29 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Yatong Bai
Brendon G. Anderson
Somayeh Sojoudi
AAML
22
2
0
26 Nov 2023
On The Relationship Between Universal Adversarial Attacks And Sparse
  Representations
On The Relationship Between Universal Adversarial Attacks And Sparse Representations
Dana Weitzner
Raja Giryes
AAML
24
0
0
14 Nov 2023
Purify++: Improving Diffusion-Purification with Advanced Diffusion
  Models and Control of Randomness
Purify++: Improving Diffusion-Purification with Advanced Diffusion Models and Control of Randomness
Boya Zhang
Weijian Luo
Zhihua Zhang
29
10
0
28 Oct 2023
Evading Detection Actively: Toward Anti-Forensics against Forgery
  Localization
Evading Detection Actively: Toward Anti-Forensics against Forgery Localization
Long Zhuo
Shenghai Luo
Shunquan Tan
Han Chen
Bin Li
Jiwu Huang
AAML
32
0
0
16 Oct 2023
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
Mahyar Fazlyab
Taha Entesari
Aniket Roy
Ramalingam Chellappa
AAML
13
11
0
29 Sep 2023
RecRec: Algorithmic Recourse for Recommender Systems
RecRec: Algorithmic Recourse for Recommender Systems
Sahil Verma
Ashudeep Singh
Varich Boonsanong
John P. Dickerson
Chirag Shah
25
1
0
28 Aug 2023
Enhancing Adversarial Attacks: The Similar Target Method
Enhancing Adversarial Attacks: The Similar Target Method
Shuo Zhang
Ziruo Wang
Zikai Zhou
Huanran Chen
AAML
46
1
0
21 Aug 2023
Face Encryption via Frequency-Restricted Identity-Agnostic Attacks
Xinjie Dong
Rui Wang
Siyuan Liang
Aishan Liu
Lihua Jing
AAML
PICV
24
8
0
11 Aug 2023
VisAlign: Dataset for Measuring the Degree of Alignment between AI and
  Humans in Visual Perception
VisAlign: Dataset for Measuring the Degree of Alignment between AI and Humans in Visual Perception
Jiyoung Lee
Seung Wook Kim
Seunghyun Won
Joonseok Lee
Marzyeh Ghassemi
James Thorne
Jaeseok Choi
O.-Kil Kwon
E. Choi
22
1
0
03 Aug 2023
Dynamic ensemble selection based on Deep Neural Network Uncertainty
  Estimation for Adversarial Robustness
Dynamic ensemble selection based on Deep Neural Network Uncertainty Estimation for Adversarial Robustness
Ruoxi Qin
Linyuan Wang
Xuehui Du
Xing-yuan Chen
Binghai Yan
AAML
24
0
0
01 Aug 2023
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