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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
Characterizing Model Robustness via Natural Input Gradients
Characterizing Model Robustness via Natural Input GradientsEuropean Conference on Computer Vision (ECCV), 2024
Adrian Rodriguez-Munoz
Tongzhou Wang
Antonio Torralba
AAML
280
2
0
30 Sep 2024
Discerning the Chaos: Detecting Adversarial Perturbations while
  Disentangling Intentional from Unintentional Noises
Discerning the Chaos: Detecting Adversarial Perturbations while Disentangling Intentional from Unintentional Noises
Anubhooti Jain
Susim Roy
Kwanit Gupta
Mayank Vatsa
Richa Singh
AAML
222
0
0
29 Sep 2024
MASKDROID: Robust Android Malware Detection with Masked Graph
  Representations
MASKDROID: Robust Android Malware Detection with Masked Graph RepresentationsInternational Conference on Automated Software Engineering (ASE), 2024
Jingnan Zheng
Jiaohao Liu
An Zhang
Jun Zeng
Ziqi Yang
Zhenkai Liang
Tat-Seng Chua
AAML
164
8
0
29 Sep 2024
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of
  Artificial Mental Imagery
Psychometrics for Hypnopaedia-Aware Machinery via Chaotic Projection of Artificial Mental Imagery
Ching-Chun Chang
Kai Gao
Shuying Xu
Anastasia Kordoni
Christopher Leckie
Isao Echizen
179
0
0
29 Sep 2024
Adversarial Challenges in Network Intrusion Detection Systems: Research
  Insights and Future Prospects
Adversarial Challenges in Network Intrusion Detection Systems: Research Insights and Future ProspectsIEEE Access (IEEE Access), 2024
Sabrine Ennaji
Fabio De Gaspari
Dorjan Hitaj
Alicia Kbidi
Luigi V. Mancini
AAML
503
17
0
27 Sep 2024
Robust Network Learning via Inverse Scale Variational Sparsification
Robust Network Learning via Inverse Scale Variational Sparsification
Zhiling Zhou
Zirui Liu
Chengming Xu
Yanwei Fu
Xinwei Sun
AAML
272
0
0
27 Sep 2024
Hidden Activations Are Not Enough: A General Approach to Neural Network
  Predictions
Hidden Activations Are Not Enough: A General Approach to Neural Network Predictions
Samuel Leblanc
Aiky Rasolomanana
Marco Armenta
231
0
0
20 Sep 2024
A constrained optimization approach to improve robustness of neural
  networks
A constrained optimization approach to improve robustness of neural networks
Shudian Zhao
Jan Kronqvist
AAML
242
0
0
18 Sep 2024
Module-wise Adaptive Adversarial Training for End-to-end Autonomous
  Driving
Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
Tianyuan Zhang
Lu Wang
Jiaqi Kang
Xinwei Zhang
Yaning Tan
Yuwei Chen
Aishan Liu
Xianglong Liu
AAML
216
4
0
11 Sep 2024
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
AdvLogo: Adversarial Patch Attack against Object Detectors based on Diffusion Models
Boming Miao
Chunxiao Li
Yao Zhu
Weixiang Sun
Zizhe Wang
Xiaoyi Wang
Chuanlong Xie
DiffMAAML
356
2
0
11 Sep 2024
AdvSecureNet: A Python Toolkit for Adversarial Machine Learning
AdvSecureNet: A Python Toolkit for Adversarial Machine Learning
Melih Catal
Manuel Günther
AAML
114
0
0
04 Sep 2024
Comparative Study on Noise-Augmented Training and its Effect on Adversarial Robustness in ASR Systems
Comparative Study on Noise-Augmented Training and its Effect on Adversarial Robustness in ASR SystemsComputer Speech and Language (CSL), 2024
Karla Pizzi
Matías P. Pizarro
Asja Fischer
332
1
0
03 Sep 2024
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A
  Comprehensive Framework for Gradient Editing
Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
274
0
0
22 Aug 2024
Leveraging Information Consistency in Frequency and Spatial Domain for
  Adversarial Attacks
Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial AttacksPacific Rim International Conference on Artificial Intelligence (PRICAI), 2024
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Xinyi Wang
Yiyun Huang
Huaming Chen
AAML
237
1
0
22 Aug 2024
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial
  Purification
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial PurificationIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2024
Hanrui Wang
Ruoxi Sun
Cunjian Chen
Minhui Xue
Lay-Ki Soon
Shuo Wang
Zhe Jin
DiffMAAML
203
3
0
20 Aug 2024
Robust Image Classification: Defensive Strategies against FGSM and PGD
  Adversarial Attacks
Robust Image Classification: Defensive Strategies against FGSM and PGD Adversarial Attacks
Hetvi Waghela
Jaydip Sen
Sneha Rakshit
AAML
162
17
0
20 Aug 2024
Neuro-Symbolic AI for Military Applications
Neuro-Symbolic AI for Military ApplicationsIEEE Transactions on Artificial Intelligence (IEEE TAI), 2024
D. Hagos
D. Rawat
NAI
261
12
0
17 Aug 2024
Exploring Cross-model Neuronal Correlations in the Context of Predicting
  Model Performance and Generalizability
Exploring Cross-model Neuronal Correlations in the Context of Predicting Model Performance and Generalizability
Haniyeh Ehsani Oskouie
Lionel Levine
Majid Sarrafzadeh
214
2
0
15 Aug 2024
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
Enhancing Adversarial Attacks via Parameter Adaptive Adversarial Attack
Zhibo Jin
Jiayu Zhang
Zhiyu Zhu
Chenyu Zhang
Jiahao Huang
Jianlong Zhou
Fang Chen
AAML
164
1
0
14 Aug 2024
Label Augmentation for Neural Networks Robustness
Label Augmentation for Neural Networks Robustness
Fatemeh Amerehi
Patrick Healy
AAML
200
2
0
04 Aug 2024
A Simple Background Augmentation Method for Object Detection with
  Diffusion Model
A Simple Background Augmentation Method for Object Detection with Diffusion ModelEuropean Conference on Computer Vision (ECCV), 2024
Yuhang Li
Jun Gao
Chen Chen
Yue Zhang
Jielei Zhang
DiffM
308
15
0
01 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
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Towards Robust Vision Transformer via Masked Adaptive Ensemble
Fudong Lin
Jiadong Lou
Xu Yuan
Nianfeng Tzeng
ViTAAML
287
3
0
22 Jul 2024
Cross-Task Attack: A Self-Supervision Generative Framework Based on
  Attention Shift
Cross-Task Attack: A Self-Supervision Generative Framework Based on Attention Shift
Qingyuan Zeng
Yunpeng Gong
Min Jiang
AAML
290
9
0
18 Jul 2024
Beyond Dropout: Robust Convolutional Neural Networks Based on Local
  Feature Masking
Beyond Dropout: Robust Convolutional Neural Networks Based on Local Feature Masking
Yunpeng Gong
Chuangliang Zhang
Yongjie Hou
Lifei Chen
Min Jiang
AAML
173
22
0
18 Jul 2024
Any Target Can be Offense: Adversarial Example Generation via
  Generalized Latent Infection
Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection
Youheng Sun
Shengming Yuan
Xuanhan Wang
Lianli Gao
Jingkuan Song
AAML
273
7
0
17 Jul 2024
How to beat a Bayesian adversary
How to beat a Bayesian adversary
Zihan Ding
Kexin Jin
J. Latz
Chenguang Liu
AAMLBDL
179
0
0
11 Jul 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
233
3
0
11 Jul 2024
A Survey of Attacks on Large Vision-Language Models: Resources,
  Advances, and Future Trends
A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future Trends
Daizong Liu
Mingyu Yang
Xiaoye Qu
Pan Zhou
Yu Cheng
Wei Hu
ELMAAML
344
73
0
10 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive
  Survey and Challenges
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
Yanli Li
Zhongliang Guo
Nan Yang
Huaming Chen
Dong Yuan
Weiping Ding
FedML
301
18
0
09 Jul 2024
Improving the Transferability of Adversarial Examples by Feature
  Augmentation
Improving the Transferability of Adversarial Examples by Feature Augmentation
Donghua Wang
Wen Yao
Tingsong Jiang
Xiaohu Zheng
Junqi Wu
Xiaoqian Chen
AAML
308
2
0
09 Jul 2024
Universal Multi-view Black-box Attack against Object Detectors via
  Layout Optimization
Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization
Donghua Wang
Wen Yao
Tingsong Jiang
Chao Li
Xiaoqian Chen
AAML
292
1
0
09 Jul 2024
Artificial Immune System of Secure Face Recognition Against Adversarial
  Attacks
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Min Ren
Yunlong Wang
Yuhao Zhu
Yongzhen Huang
Zhenan Sun
Qi Li
Tieniu Tan
324
6
0
26 Jun 2024
Contextual Interaction via Primitive-based Adversarial Training For
  Compositional Zero-shot Learning
Contextual Interaction via Primitive-based Adversarial Training For Compositional Zero-shot Learning
Suyi Li
Chenyi Jiang
Shidong Wang
Yang Long
Zheng Zhang
Haofeng Zhang
CoGe
195
1
0
21 Jun 2024
Towards Trustworthy Unsupervised Domain Adaptation: A Representation
  Learning Perspective for Enhancing Robustness, Discrimination, and
  Generalization
Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization
Jia-Li Yin
Haoyuan Zheng
Ximeng Liu
AAML
203
0
0
19 Jun 2024
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
MirrorCheck: Efficient Adversarial Defense for Vision-Language Models
Samar Fares
Klea Ziu
Toluwani Aremu
Nikita Durasov
Martin Takáč
Pascal Fua
Karthik Nandakumar
Ivan Laptev
VLMAAML
236
9
0
13 Jun 2024
Improving Adversarial Robustness via Feature Pattern Consistency
  Constraint
Improving Adversarial Robustness via Feature Pattern Consistency Constraint
Jiacong Hu
Jingwen Ye
Zunlei Feng
Jiazhen Yang
Shunyu Liu
Xiaotian Yu
Lingxiang Jia
Mingli Song
AAML
273
4
0
13 Jun 2024
I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse
  Adversarial Patches for Object Detectors
I Don't Know You, But I Can Catch You: Real-Time Defense against Diverse Adversarial Patches for Object Detectors
Zijin Lin
Yue Zhao
Kai Chen
Jinwen He
AAML
214
7
0
12 Jun 2024
Understanding Visual Concepts Across Models
Understanding Visual Concepts Across Models
Brandon Trabucco
Max Gurinas
Kyle Doherty
Ruslan Salakhutdinov
VLM
137
0
0
11 Jun 2024
Fast White-Box Adversarial Streaming Without a Random Oracle
Fast White-Box Adversarial Streaming Without a Random Oracle
Ying Feng
Aayush Jain
David P. Woodruff
AAML
170
3
0
10 Jun 2024
Self-supervised Adversarial Training of Monocular Depth Estimation
  against Physical-World Attacks
Self-supervised Adversarial Training of Monocular Depth Estimation against Physical-World AttacksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Zhiyuan Cheng
Cheng Han
James Liang
Qifan Wang
Xiangyu Zhang
Dongfang Liu
AAML
216
10
0
09 Jun 2024
ProFeAT: Projected Feature Adversarial Training for Self-Supervised
  Learning of Robust Representations
ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations
Sravanti Addepalli
Priyam Dey
R. Venkatesh Babu
262
2
0
09 Jun 2024
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification
MeanSparse: Post-Training Robustness Enhancement Through Mean-Centered Feature Sparsification
Sajjad Amini
Mohammadreza Teymoorianfard
Shiqing Ma
Amir Houmansadr
OODAAML
299
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09 Jun 2024
Perturbation Towards Easy Samples Improves Targeted Adversarial
  Transferability
Perturbation Towards Easy Samples Improves Targeted Adversarial TransferabilityNeural Information Processing Systems (NeurIPS), 2024
Junqi Gao
Biqing Qi
Yao Li
Zhichang Guo
Dong Li
Yuming Xing
Dazhi Zhang
AAML
241
9
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08 Jun 2024
Exploring Adversarial Robustness of Deep State Space Models
Exploring Adversarial Robustness of Deep State Space ModelsNeural Information Processing Systems (NeurIPS), 2024
Biqing Qi
Yang Luo
Junqi Gao
Pengfei Li
Kai Tian
Zhiyuan Ma
Bowen Zhou
AAML
253
6
0
08 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
AAMLVLM
430
28
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Batch-in-Batch: a new adversarial training framework for initial
  perturbation and sample selection
Batch-in-Batch: a new adversarial training framework for initial perturbation and sample selection
Yinting Wu
Pai Peng
Bo Cai
Le Li
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AAML
242
0
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06 Jun 2024
Advancing Generalized Transfer Attack with Initialization Derived
  Bilevel Optimization and Dynamic Sequence Truncation
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
Yaohua Liu
Jiaxin Gao
Xuan Liu
Xianghao Jiao
Xin-Yue Fan
Risheng Liu
310
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Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Enhancing Adversarial Robustness in SNNs with Sparse Gradients
Yujia Liu
Tong Bu
Jianhao Ding
Zecheng Hao
Tiejun Huang
Zhaofei Yu
AAML
227
13
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Is machine learning good or bad for the natural sciences?
Is machine learning good or bad for the natural sciences?
David W. Hogg
Soledad Villar
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336
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