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Ensemble Adversarial Training: Attacks and Defenses
v1v2v3v4v5 (latest)

Ensemble Adversarial Training: Attacks and Defenses

19 May 2017
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
    AAML
ArXiv (abs)PDFHTML

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

50 / 1,471 papers shown
Structure Invariant Transformation for better Adversarial
  Transferability
Structure Invariant Transformation for better Adversarial TransferabilityIEEE International Conference on Computer Vision (ICCV), 2023
Xiaosen Wang
Zeliang Zhang
Jianping Zhang
AAML
203
108
0
26 Sep 2023
Pixel-wise Smoothing for Certified Robustness against Camera Motion
  Perturbations
Pixel-wise Smoothing for Certified Robustness against Camera Motion PerturbationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Hanjiang Hu
Zuxin Liu
Linyi Li
Jiacheng Zhu
Ding Zhao
227
3
0
22 Sep 2023
PRAT: PRofiling Adversarial aTtacks
PRAT: PRofiling Adversarial aTtacks
Rahul Ambati
Naveed Akhtar
Lin Wang
Yogesh S Rawat
AAML
196
1
0
20 Sep 2023
Reducing Adversarial Training Cost with Gradient Approximation
Reducing Adversarial Training Cost with Gradient Approximation
Huihui Gong
AAML
326
0
0
18 Sep 2023
Mitigating Adversarial Attacks in Federated Learning with Trusted
  Execution Environments
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution EnvironmentsIEEE International Conference on Distributed Computing Systems (ICDCS), 2023
Simon Queyrut
V. Schiavoni
Pascal Felber
AAMLFedML
209
15
0
13 Sep 2023
The Adversarial Implications of Variable-Time Inference
The Adversarial Implications of Variable-Time Inference
Dudi Biton
Aditi Misra
Efrat Levy
J. Kotak
Ron Bitton
R. Schuster
Nicolas Papernot
Yuval Elovici
Ben Nassi
AAML
143
1
0
05 Sep 2023
Robust and Efficient Interference Neural Networks for Defending Against
  Adversarial Attacks in ImageNet
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet
Yunuo Xiong
Shujuan Liu
H. Xiong
AAML
134
0
0
03 Sep 2023
Towards Certified Probabilistic Robustness with High Accuracy
Towards Certified Probabilistic Robustness with High Accuracy
Ruihan Zhang
Peixin Zhang
Jun Sun
AAML
221
2
0
02 Sep 2023
Ten Years of Generative Adversarial Nets (GANs): A survey of the
  state-of-the-art
Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art
Tanujit Chakraborty
Ujjwal Reddy K S
Shraddha M. Naik
Madhurima Panja
B. Manvitha
265
134
0
30 Aug 2023
Adversarial Attacks on Foundational Vision Models
Adversarial Attacks on Foundational Vision Models
Nathan Inkawhich
Gwendolyn McDonald
R. Luley
VLM
231
14
0
28 Aug 2023
On-Manifold Projected Gradient Descent
On-Manifold Projected Gradient Descent
Aaron Mahler
Tyrus Berry
Thomas Stephens
Harbir Antil
Michael Merritt
Jeanie Schreiber
Ioannis G. Kevrekidis
AAML
215
0
0
23 Aug 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW:
  Lipschitz Regularization and Auto Weight Averaging
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight AveragingIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yang Liu
YueFeng Chen
Xiaofeng Mao
Ranjie Duan
Jindong Gu
Rong Zhang
H. Xue
Xiaochun Cao
AAML
220
14
0
22 Aug 2023
Enhancing Adversarial Attacks: The Similar Target Method
Enhancing Adversarial Attacks: The Similar Target MethodIEEE International Joint Conference on Neural Network (IJCNN), 2023
Shuo Zhang
Ziruo Wang
Zikai Zhou
Huanran Chen
AAML
342
2
0
21 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary
  Style Transfer
Improving the Transferability of Adversarial Examples with Arbitrary Style TransferACM Multimedia (ACM MM), 2023
Zhijin Ge
Fanhua Shang
Hongying Liu
Yuanyuan Liu
Liang Wan
Wei Feng
Xiaosen Wang
AAML
228
28
0
21 Aug 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time
  Frequency-domain Prompting
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain PromptingIEEE International Conference on Computer Vision (ICCV), 2023
Qidong Huang
Xiaoyi Dong
DongDong Chen
Yinpeng Chen
Lu Yuan
Gang Hua
Weiming Zhang
Neng H. Yu
AAML
298
11
0
20 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation
Boosting Adversarial Transferability by Block Shuffle and RotationComputer Vision and Pattern Recognition (CVPR), 2023
Kunyu Wang
Xu He
Wenxuan Wang
Xiaosen Wang
AAML
379
87
0
20 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds
Hejia Geng
Peng Li
AAML
394
4
0
20 Aug 2023
Backpropagation Path Search On Adversarial Transferability
Backpropagation Path Search On Adversarial TransferabilityIEEE International Conference on Computer Vision (ICCV), 2023
Zhuoer Xu
Zhangxuan Gu
Jianping Zhang
Shiwen Cui
Changhua Meng
Weiqiang Wang
AAML
222
5
0
15 Aug 2023
Robustified ANNs Reveal Wormholes Between Human Category Percepts
Robustified ANNs Reveal Wormholes Between Human Category Percepts
Guy Gaziv
Michael J. Lee
J. DiCarlo
AAML
158
9
0
14 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network
  Intrusion Detection
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion DetectionComputers & security (Comput. Secur.), 2023
João Vitorino
Isabel Praça
Eva Maia
AAML
222
30
0
13 Aug 2023
Not So Robust After All: Evaluating the Robustness of Deep Neural
  Networks to Unseen Adversarial Attacks
Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks
R. Garaev
Bader Rasheed
Adil Mehmood Khan
AAMLOOD
79
3
0
12 Aug 2023
Robustifying Point Cloud Networks by Refocusing
Robustifying Point Cloud Networks by RefocusingInternational Conference on 3D Vision (3DV), 2023
Meir Yossef Levi
Guy Gilboa
3DPC
391
5
0
10 Aug 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation
SegMatch: A semi-supervised learning method for surgical instrument segmentationScientific Reports (Sci Rep), 2023
Meng Wei
Charlie Budd
Luis C. Garcia-Peraza-Herrera
Reuben Dorent
Miaojing Shi
Tom Vercauteren
247
5
0
09 Aug 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated
  Learning
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning
Simon Queyrut
Yérom-David Bromberg
V. Schiavoni
FedMLAAML
174
1
0
08 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks
  and their understanding
A reading survey on adversarial machine learning: Adversarial attacks and their understanding
Shashank Kotyan
AAML
169
11
0
07 Aug 2023
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial
  Transferability
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial TransferabilityIEEE International Conference on Computer Vision (ICCV), 2023
Bin Chen
Jia-Li Yin
Shukai Chen
Bo-Hao Chen
Ximeng Liu
AAML
285
82
0
05 Aug 2023
Multi-attacks: Many images $+$ the same adversarial attack $\to$ many
  target labels
Multi-attacks: Many images +++ the same adversarial attack →\to→ many target labels
Stanislav Fort
AAML
122
2
0
04 Aug 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference
VertexSerum: Poisoning Graph Neural Networks for Link InferenceIEEE International Conference on Computer Vision (ICCV), 2023
Ruyi Ding
Shijin Duan
Xiaolin Xu
Yunsi Fei
AAMLGNN
160
5
0
02 Aug 2023
A Novel Deep Learning based Model to Defend Network Intrusion Detection
  System against Adversarial Attacks
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial AttacksInternational Conference on Computing for Sustainable Global Development (ICCSGD), 2023
Khushnaseeb Roshan
Aasim Zafar
Shiekh Burhan Ul Haque
AAML
206
16
0
31 Jul 2023
Transferable Attack for Semantic Segmentation
Transferable Attack for Semantic Segmentation
Mengqi He
Jing Zhang
Zhaoyuan Yang
Mingyi He
Nick Barnes
Yuchao Dai
214
2
0
31 Jul 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial
  Training
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training
Shouwei Ruan
Yinpeng Dong
Han Su
Jianteng Peng
Ning Chen
Xingxing Wei
178
8
0
21 Jul 2023
Discretization-based ensemble model for robust learning in IoT
Discretization-based ensemble model for robust learning in IoTInternational Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous), 2023
Anahita Namvar
Chandra Thapa
S. Kanhere
AAMLOOD
212
3
0
18 Jul 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training
Towards Viewpoint-Invariant Visual Recognition via Adversarial TrainingIEEE International Conference on Computer Vision (ICCV), 2023
Shouwei Ruan
Yinpeng Dong
Han Su
Jianteng Peng
Ning Chen
Xingxing Wei
OOD
220
19
0
16 Jul 2023
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical
  World
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical WorldIEEE International Conference on Computer Vision (ICCV), 2023
Donghua Wang
Wen Yao
Tingsong Jiang
Chong Li
Xiaoqian Chen
AAML
252
43
0
14 Jul 2023
ATWM: Defense against adversarial malware based on adversarial training
ATWM: Defense against adversarial malware based on adversarial training
Kunkun Li
Fan Zhang
Wei Guo
AAML
153
2
0
11 Jul 2023
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty
GNP Attack: Transferable Adversarial Examples via Gradient Norm PenaltyInternational Conference on Information Photonics (ICIP), 2023
Tao Wu
Tie-Mei Luo
D. Wunsch
AAML
151
15
0
09 Jul 2023
Probabilistic and Semantic Descriptions of Image Manifolds and Their
  Applications
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications
Peter Tu
Zhaoyuan Yang
Leonid Sigal
Zhiwei Xu
Jing Zhang
Yiwei Fu
Dylan Campbell
Jaskirat Singh
Tianyu Wang
DiffM
542
2
0
06 Jul 2023
Adversarial Attacks on Image Classification Models: FGSM and Patch
  Attacks and their Impact
Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact
Jaydip Sen
S. Dasgupta
AAMLSILM
110
13
0
05 Jul 2023
Query-Efficient Decision-based Black-Box Patch Attack
Query-Efficient Decision-based Black-Box Patch AttackIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Zhaoyu Chen
Yue Liu
Shuang Wu
Shouhong Ding
Wenqiang Zhang
AAML
278
42
0
02 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A
  Survey
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A SurveyIEEE Access (IEEE Access), 2023
Hanieh Naderi
Ivan V. Bajić
3DPC
366
10
0
01 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System
  Inconsistency
SysNoise: Exploring and Benchmarking Training-Deployment System InconsistencyConference on Machine Learning and Systems (MLSys), 2023
Yan Wang
Yuhang Li
Yazhe Niu
Aishan Liu
Yanfei Wang
...
Yongqiang Yao
Yunchen Zhang
Tianzi Xiao
F. Yu
Xianglong Liu
AAML
265
0
0
01 Jul 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks
Boosting Adversarial Transferability with Learnable Patch-wise MasksIEEE transactions on multimedia (IEEE TMM), 2023
Xingxing Wei
Shiji Zhao
AAML
194
16
0
28 Jun 2023
Cooperation or Competition: Avoiding Player Domination for Multi-Target
  Robustness via Adaptive Budgets
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive BudgetsComputer Vision and Pattern Recognition (CVPR), 2023
Yimu Wang
Dinghuai Zhang
Yihan Wu
Heng Huang
Hongyang R. Zhang
AAML
161
1
0
27 Jun 2023
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial
  Transferability
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial TransferabilityInternational Symposium on Recent Advances in Intrusion Detection (RAID), 2023
Marco Alecci
Mauro Conti
Francesco Marchiori
L. Martinelli
Luca Pajola
AAML
191
11
0
27 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability
Rethinking the Backward Propagation for Adversarial TransferabilityNeural Information Processing Systems (NeurIPS), 2023
Xiaosen Wang
Kangheng Tong
Kun He
AAMLSILM
441
40
0
22 Jun 2023
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Towards Regulatable AI Systems: Technical Gaps and Policy Opportunities
Xudong Shen
H. Brown
Jiashu Tao
Martin Strobel
Yao Tong
Akshay Narayan
Harold Soh
Finale Doshi-Velez
334
3
0
22 Jun 2023
Wasserstein distributional robustness of neural networks
Wasserstein distributional robustness of neural networksNeural Information Processing Systems (NeurIPS), 2023
Xingjian Bai
Guangyi He
Yifan Jiang
J. Obłój
OODAAML
297
13
0
16 Jun 2023
Augment then Smooth: Reconciling Differential Privacy with Certified
  Robustness
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness
Jiapeng Wu
Atiyeh Ashari Ghomi
David Glukhov
Jesse C. Cresswell
Franziska Boenisch
Nicolas Papernot
AAML
252
4
0
14 Jun 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima
Boosting Adversarial Transferability by Achieving Flat Local MaximaNeural Information Processing Systems (NeurIPS), 2023
Zhijin Ge
Hongying Liu
Xiaosen Wang
Fanhua Shang
Yuanyuan Liu
AAML
353
78
0
08 Jun 2023
Enhance Diffusion to Improve Robust Generalization
Enhance Diffusion to Improve Robust GeneralizationKnowledge Discovery and Data Mining (KDD), 2023
Jianhui Sun
Sanchit Sinha
Aidong Zhang
294
4
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05 Jun 2023
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