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Spatially Transformed Adversarial Examples
v1v2 (latest)

Spatially Transformed Adversarial Examples

8 January 2018
Chaowei Xiao
Jun-Yan Zhu
Yue Liu
Warren He
M. Liu
Basel Alomair
    AAML
ArXiv (abs)PDFHTML

Papers citing "Spatially Transformed Adversarial Examples"

50 / 326 papers shown
Calibrated Adversarial Sampling: Multi-Armed Bandit-Guided Generalization Against Unforeseen Attacks
Calibrated Adversarial Sampling: Multi-Armed Bandit-Guided Generalization Against Unforeseen Attacks
Rui Wang
Zeming Wei
Xiyue Zhang
Meng Sun
AAML
254
0
0
15 Nov 2025
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
Diffusion Guided Adversarial State Perturbations in Reinforcement Learning
Xiaolin Sun
Feidi Liu
Zhengming Ding
Zizhan Zheng
AAML
163
0
0
10 Nov 2025
KoALA: KL-L0 Adversarial Detector via Label Agreement
KoALA: KL-L0 Adversarial Detector via Label Agreement
Siqi Li
Yasser Shoukry
AAMLVLM
123
0
0
14 Oct 2025
A geometrical approach to solve the proximity of a point to an axisymmetric quadric in space
A geometrical approach to solve the proximity of a point to an axisymmetric quadric in space
Bibekananda Patra
Aditya Mahesh Kolte
Sandipan Bandyopadhyay
122
11
0
10 Oct 2025
On the Adversarial Robustness of Learning-based Conformal Novelty Detection
On the Adversarial Robustness of Learning-based Conformal Novelty Detection
Daofu Zhang
Mehrdad Pournaderi
Hanne M. Clifford
Yu Xiang
Pramod K. Varshney
AAML
98
1
0
01 Oct 2025
An Investigation of Visual Foundation Models Robustness
An Investigation of Visual Foundation Models Robustness
Sandeep Gupta
Roberto Passerone
AAML
124
0
0
22 Aug 2025
Position: Certified Robustness Does Not (Yet) Imply Model Security
Position: Certified Robustness Does Not (Yet) Imply Model Security
Andrew C. Cullen
Paul Montague
S. Erfani
Benjamin I. P. Rubinstein
259
0
0
16 Jun 2025
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
Enhancing Diffusion-based Unrestricted Adversarial Attacks via Adversary Preferences Alignment
Kaixun Jiang
Zhaoyu Chen
Haijing Guo
Jinglun Li
Jiyuan Fu
Pinxue Guo
Hao Tang
Bo Li
Wenqiang Zhang
DiffMAAML
247
0
0
02 Jun 2025
TRAIL: Transferable Robust Adversarial Images via Latent diffusion
TRAIL: Transferable Robust Adversarial Images via Latent diffusion
Yuhao Xue
Zhifei Zhang
Xinyang Jiang
Yifei Shen
Junyao Gao
Wentao Gu
Jiale Zhao
Miaojing Shi
Cairong Zhao
AAML
260
0
0
22 May 2025
DArFace: Deformation Aware Robustness for Low Quality Face Recognition
DArFace: Deformation Aware Robustness for Low Quality Face Recognition
Sadaf Gulshad
Abdullah Aldahlawi Thakaa
CVBM
510
0
0
13 May 2025
Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection
Diffusion-based Adversarial Identity Manipulation for Facial Privacy Protection
Liqin Wang
Qianyue Hu
Wei Lu
Xiangyang Luo
DiffMAAMLPICV
497
3
0
30 Apr 2025
Defending Against Frequency-Based Attacks with Diffusion Models
Defending Against Frequency-Based Attacks with Diffusion Models
Fatemeh Amerehi
Patrick Healy
AAML
281
1
0
15 Apr 2025
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting
Improving Adversarial Robustness via Phase and Amplitude-aware Prompting
Yibo Xu
Dawei Zhou
Decheng Liu
N. Wang
AAML
267
0
0
06 Feb 2025
Adapting to Evolving Adversaries with Regularized Continual Robust Training
Adapting to Evolving Adversaries with Regularized Continual Robust Training
Sihui Dai
Christian Cianfarani
A. Bhagoji
Vikash Sehwag
Prateek Mittal
OODAAML
245
0
0
06 Feb 2025
Verification of Geometric Robustness of Neural Networks via Piecewise
  Linear Approximation and Lipschitz Optimisation
Verification of Geometric Robustness of Neural Networks via Piecewise Linear Approximation and Lipschitz OptimisationEuropean Conference on Artificial Intelligence (ECAI), 2024
Ben Batten
Yang Zheng
Alessandro De Palma
Panagiotis Kouvaros
A. Lomuscio
AAML
337
1
0
23 Aug 2024
Resilience and Security of Deep Neural Networks Against Intentional and
  Unintentional Perturbations: Survey and Research Challenges
Resilience and Security of Deep Neural Networks Against Intentional and Unintentional Perturbations: Survey and Research Challenges
Sazzad Sayyed
Milin Zhang
Shahriar Rifat
A. Swami
Michael De Lucia
Francesco Restuccia
476
2
0
31 Jul 2024
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
ARoFace: Alignment Robustness to Improve Low-Quality Face Recognition
Mohammad Saeed Ebrahimi Saadabadi
Sahar Rahimi Malakshan
Ali Dabouei
Nasser M. Nasrabadi
CVBMAAML
309
8
0
20 Jul 2024
Single Character Perturbations Break LLM Alignment
Single Character Perturbations Break LLM Alignment
Leon Lin
Hannah Brown
Kenji Kawaguchi
Michael Shieh
AAML
834
8
0
03 Jul 2024
Improving Adversarial Robustness via Decoupled Visual Representation
  Masking
Improving Adversarial Robustness via Decoupled Visual Representation Masking
Decheng Liu
Tao Chen
Chunlei Peng
Nannan Wang
Ruimin Hu
Xinbo Gao
AAML
255
3
0
16 Jun 2024
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random
  Hierarchy Model
How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model
Umberto M. Tomasini
Matthieu Wyart
BDL
366
7
0
16 Apr 2024
A Survey of Neural Network Robustness Assessment in Image Recognition
A Survey of Neural Network Robustness Assessment in Image Recognition
Jie Wang
Jun Ai
Minyan Lu
Haoran Su
Dan Yu
Yutao Zhang
Junda Zhu
Jingyu Liu
AAML
308
4
0
12 Apr 2024
Meta Invariance Defense Towards Generalizable Robustness to Unknown
  Adversarial Attacks
Meta Invariance Defense Towards Generalizable Robustness to Unknown Adversarial AttacksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Lei Zhang
Yuhang Zhou
Yi Yang
Xinbo Gao
AAMLOOD
199
11
0
04 Apr 2024
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited
  Black-box Scenario
STBA: Towards Evaluating the Robustness of DNNs for Query-Limited Black-box Scenario
Renyang Liu
Kwok-Yan Lam
Wei Zhou
Sixing Wu
Jun Zhao
Dongting Hu
Mingming Gong
AAML
275
2
0
30 Mar 2024
Adversarial Guided Diffusion Models for Adversarial Purification
Adversarial Guided Diffusion Models for Adversarial PurificationNeural Networks (NN), 2024
Guang Lin
Zerui Tao
Jianhai Zhang
Toshihisa Tanaka
Qibin Zhao
587
5
0
24 Mar 2024
Robust Overfitting Does Matter: Test-Time Adversarial Purification With
  FGSM
Robust Overfitting Does Matter: Test-Time Adversarial Purification With FGSMComputer Vision and Pattern Recognition (CVPR), 2024
Linyu Tang
Lei Zhang
AAML
174
12
0
18 Mar 2024
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via
  Probabilistic Circuits
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
Mintong Kang
Nezihe Merve Gürel
Linyi Li
Yue Liu
274
10
0
17 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
Yue Liu
AAML
227
1
0
04 Mar 2024
SAR-AE-SFP: SAR Imagery Adversarial Example in Real Physics domain with
  Target Scattering Feature Parameters
SAR-AE-SFP: SAR Imagery Adversarial Example in Real Physics domain with Target Scattering Feature Parameters
Jiahao Cui
Jiale Duan
Binyan Luo
Hang Cao
Wang Guo
Haifeng Li
172
0
0
02 Mar 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial
  Training
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
Yihao Zhang
Hangzhou He
Jingyu Zhu
Huanran Chen
Yifei Wang
Zeming Wei
AAML
390
24
0
23 Feb 2024
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion
  Models!
Breaking Free: How to Hack Safety Guardrails in Black-Box Diffusion Models!
Shashank Kotyan
Poyuan Mao
Pin-Yu Chen
Danilo Vasconcellos Vargas
AAMLDiffM
360
0
0
07 Feb 2024
Boosting Adversarial Transferability across Model Genus by
  Deformation-Constrained Warping
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained WarpingAAAI Conference on Artificial Intelligence (AAAI), 2024
Qinliang Lin
Cheng Luo
Zenghao Niu
Xilin He
Weicheng Xie
Yuanbo Hou
Linlin Shen
Siyang Song
AAML
276
29
0
06 Feb 2024
Robust Prompt Optimization for Defending Language Models Against
  Jailbreaking Attacks
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks
Andy Zhou
Bo Li
Haohan Wang
AAML
425
133
0
30 Jan 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness
  and Generalization
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization
Guang Lin
Chao Li
Jianhai Zhang
Toshihisa Tanaka
Qibin Zhao
372
22
0
29 Jan 2024
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent
  Diffusion Model
Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model
Decheng Liu
Xijun Wang
Chunlei Peng
Nannan Wang
Ruimin Hu
Xinbo Gao
DiffMAAML
159
34
0
18 Dec 2023
SSTA: Salient Spatially Transformed Attack
SSTA: Salient Spatially Transformed AttackIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Renyang Liu
Wei Zhou
Sixing Wu
Jun Zhao
Kwok-Yan Lam
AAML
203
1
0
12 Dec 2023
ScAR: Scaling Adversarial Robustness for LiDAR Object Detection
ScAR: Scaling Adversarial Robustness for LiDAR Object DetectionIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Xiaohu Lu
H. Radha
AAML3DPC
344
2
0
05 Dec 2023
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching
RetouchUAA: Unconstrained Adversarial Attack via Image Retouching
Mengda Xie
Yiling He
Meie Fang
AAML
208
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
Yaoyao Liu
Soheil Feizi
Chun Pong Lau
Rama Chellappa
DiffMAAML
225
11
0
27 Nov 2023
Adversarial Image Generation by Spatial Transformation in Perceptual
  Colorspaces
Adversarial Image Generation by Spatial Transformation in Perceptual ColorspacesPattern Recognition Letters (PR), 2023
A. Aydin
A. Temi̇zel
190
6
0
21 Oct 2023
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial
  Robustness under Distribution Shift
OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift
Lin Li
Yifei Wang
Chawin Sitawarin
Michael W. Spratling
320
12
0
19 Oct 2023
AFLOW: Developing Adversarial Examples under Extremely Noise-limited
  Settings
AFLOW: Developing Adversarial Examples under Extremely Noise-limited Settings
Renyang Liu
Jinhong Zhang
Haoran Li
Jin Zhang
Yuanyu Wang
Wei Zhou
AAML
167
6
0
15 Oct 2023
Comparing the Robustness of Modern No-Reference Image- and Video-Quality
  Metrics to Adversarial Attacks
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial AttacksAAAI Conference on Artificial Intelligence (AAAI), 2023
Anastasia Antsiferova
Khaled Abud
Aleksandr Gushchin
E. Shumitskaya
Sergey Lavrushkin
D. Vatolin
476
16
0
10 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization
Generating Less Certain Adversarial Examples Improves Robust Generalization
Minxing Zhang
Michael Backes
Xiao Zhang
AAML
553
1
0
06 Oct 2023
Shielding the Unseen: Privacy Protection through Poisoning NeRF with
  Spatial Deformation
Shielding the Unseen: Privacy Protection through Poisoning NeRF with Spatial Deformation
Yihan Wu
Brandon Y. Feng
Heng-Chiao Huang
129
4
0
04 Oct 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 AttacksACM Computing Surveys (ACM Comput. Surv.), 2023
Yanjie Li
Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
260
36
0
01 Oct 2023
On the Computational Entanglement of Distant Features in Adversarial
  Machine Learning
On the Computational Entanglement of Distant Features in Adversarial Machine Learning
Yen-Lung Lai
Xingbo Dong
Zhe Jin
AAML
460
0
0
27 Sep 2023
Semantic Adversarial Attacks via Diffusion Models
Semantic Adversarial Attacks via Diffusion ModelsBritish Machine Vision Conference (BMVC), 2023
Chenan Wang
Jinhao Duan
Chaowei Xiao
Edward Kim
Matthew C. Stamm
Kaidi Xu
DiffM
206
16
0
14 Sep 2023
Curating Naturally Adversarial Datasets for Learning-Enabled Medical
  Cyber-Physical Systems
Curating Naturally Adversarial Datasets for Learning-Enabled Medical Cyber-Physical Systems
Sydney Pugh
I. Ruchkin
Insup Lee
James Weimer
AAMLOOD
202
0
0
01 Sep 2023
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared
  Adversarial Examples
Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial ExamplesNeural Information Processing Systems (NeurIPS), 2023
Shaokui Wei
Ruotong Wang
H. Zha
Baoyuan Wu
TPM
212
47
0
20 Jul 2023
Mitigating Adversarial Vulnerability through Causal Parameter Estimation
  by Adversarial Double Machine Learning
Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine LearningIEEE International Conference on Computer Vision (ICCV), 2023
Byung-Kwan Lee
J. Kim
Yonghyun Ro
AAML
282
11
0
14 Jul 2023
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