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1705.07204
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Ensemble Adversarial Training: Attacks and Defenses
19 May 2017
Florian Tramèr
Alexey Kurakin
Nicolas Papernot
Ian Goodfellow
Dan Boneh
Patrick McDaniel
AAML
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Papers citing
"Ensemble Adversarial Training: Attacks and Defenses"
50 / 1,471 papers shown
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Jitao Sang
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242
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Adversarial Attack Based on Prediction-Correction
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Fangjun Huang
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121
6
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Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
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Jinyue Li
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207
3
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Yuan-Fang Li
Pascal Bouvry
315
3
0
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Accurate generation of stochastic dynamics based on multi-model Generative Adversarial Networks
Journal of Chemical Physics (JCP), 2023
Daniel Lanzoni
Olivier Pierre-Louis
F. Montalenti
217
5
0
25 May 2023
PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation
ACM Multimedia (ACM MM), 2023
Xianghao Jiao
Yao-Tsorng Liu
Jiaxin Gao
Xinyuan Chu
Risheng Liu
Xin-Yue Fan
VLM
189
10
0
25 May 2023
Introducing Competition to Boost the Transferability of Targeted Adversarial Examples through Clean Feature Mixup
Computer Vision and Pattern Recognition (CVPR), 2023
Junyoung Byun
Myung-Joon Kwon
Yujin Yang
Yoonji Kim
Changick Kim
AAML
227
23
0
24 May 2023
Enhancing Accuracy and Robustness through Adversarial Training in Class Incremental Continual Learning
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Kangil Kim
AAML
96
1
0
23 May 2023
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IEEE Access (IEEE Access), 2023
Joana Cabral Costa
Tiago Roxo
Hugo Manuel Proença
Pedro R. M. Inácio
AAML
371
109
0
18 May 2023
Adversarial Amendment is the Only Force Capable of Transforming an Enemy into a Friend
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Chong Yu
Tao Chen
Zhongxue Gan
AAML
80
2
0
18 May 2023
Content-based Unrestricted Adversarial Attack
Neural Information Processing Systems (NeurIPS), 2023
Zhaoyu Chen
Yue Liu
Shuang Wu
Kaixun Jiang
Shouhong Ding
Wenqiang Zhang
DiffM
349
104
0
18 May 2023
Exploiting Frequency Spectrum of Adversarial Images for General Robustness
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K. Kawamoto
Hiroshi Kera
AAML
OOD
149
1
0
15 May 2023
Diffusion Models for Imperceptible and Transferable Adversarial Attack
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Jianqi Chen
Hechang Chen
Keyan Chen
Yilan Zhang
Zhengxia Zou
Z. Shi
DiffM
492
119
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14 May 2023
Efficient Search of Comprehensively Robust Neural Architectures via Multi-fidelity Evaluation
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Wen Yao
Tingsong Jiang
Xiaoqian Chen
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185
12
0
12 May 2023
Convolutional Neural Networks Rarely Learn Shape for Semantic Segmentation
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Yixin Zhang
Maciej A. Mazurowski
3DV
3DPC
351
18
0
11 May 2023
Single Node Injection Label Specificity Attack on Graph Neural Networks via Reinforcement Learning
IEEE Transactions on Computational Social Systems (IEEE TCSS), 2023
Dayuan Chen
Jian Zhang
Yuqian Lv
Jinhuan Wang
Hongjie Ni
Shanqing Yu
Zhen Wang
Qi Xuan
AAML
206
6
0
04 May 2023
PTP: Boosting Stability and Performance of Prompt Tuning with Perturbation-Based Regularizer
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Lichang Chen
Heng-Chiao Huang
Varun Madhavan
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272
12
0
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Chaoning Zhang
Taegoo Kang
Donghun Kim
Sung-Ho Bae
In So Kweon
AAML
VLM
199
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Detecting Adversarial Faces Using Only Real Face Self-Perturbations
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Qian Wang
Yongqin Xian
H. Ling
Jinyuan Zhang
Xiaorui Lin
Ping Li
Jiazhong Chen
Ning Yu
AAML
174
10
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22 Apr 2023
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IEEE International Conference on Computer Vision (ICCV), 2023
Aaditya K. Singh
Kartik Sarangmath
Prithvijit Chattopadhyay
Judy Hoffman
OOD
311
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21 Apr 2023
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British Machine Vision Conference (BMVC), 2023
Zhiyuan Wang
Zeliang Zhang
Yaning Tan
Xiaosen Wang
AAML
372
26
0
20 Apr 2023
Towards the Transferable Audio Adversarial Attack via Ensemble Methods
Feng Guo
Zhengyi Sun
Yuxuan Chen
Lei Ju
AAML
161
7
0
18 Apr 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications
International Conference on Machine Learning (ICML), 2023
Anqi Mao
M. Mohri
Yutao Zhong
AAML
300
647
0
14 Apr 2023
Generating Adversarial Examples with Better Transferability via Masking Unimportant Parameters of Surrogate Model
IEEE International Joint Conference on Neural Network (IJCNN), 2023
Dingcheng Yang
Wenjian Yu
Zihao Xiao
Jiaqi Luo
AAML
DiffM
177
6
0
14 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence
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Hanbin Hong
Xinyu Zhang
Binghui Wang
Zhongjie Ba
Yuan Hong
AAML
280
6
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10 Apr 2023
Reliable learning in challenging environments
Neural Information Processing Systems (NeurIPS), 2023
Maria-Florina Balcan
Steve Hanneke
Rattana Pukdee
Dravyansh Sharma
OOD
262
6
0
06 Apr 2023
Improving Fast Adversarial Training with Prior-Guided Knowledge
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yang Liu
Yong Zhang
Xingxing Wei
Baoyuan Wu
Ke Ma
Jue Wang
Xiaochun Cao
AAML
266
49
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Beyond Empirical Risk Minimization: Local Structure Preserving Regularization for Improving Adversarial Robustness
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Jiahuan Zhou
Yingying Wu
AAML
139
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0
29 Mar 2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
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Jianping Zhang
Shu Yang
Wenxuan Wang
Yichen Li
Weibin Wu
Xiaosen Wang
Yuxin Su
Michael R. Lyu
AAML
210
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Improving the Transferability of Adversarial Examples via Direction Tuning
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Xiangyuan Yang
Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
235
16
0
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Adversarial Attack and Defense for Medical Image Analysis: Methods and Applications
ACM Computing Surveys (ACM Comput. Surv.), 2023
Junhao Dong
Junxi Chen
Xiaohua Xie
Jianhuang Lai
Hechang Chen
AAML
MedIm
332
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Jie Lin
Hanlin Zhang
Xinyu Yang
Peng Zhao
AAML
171
0
0
17 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks
International Conference on Learning Representations (ICLR), 2023
Huanran Chen
Yichi Zhang
Yinpeng Dong
Xiao Yang
Hang Su
Junyi Zhu
AAML
369
96
0
16 Mar 2023
Review on the Feasibility of Adversarial Evasion Attacks and Defenses for Network Intrusion Detection Systems
Islam Debicha
Benjamin Cochez
Tayeb Kenaza
Thibault Debatty
Jean-Michel Dricot
Wim Mees
AAML
175
8
0
13 Mar 2023
Stateful Defenses for Machine Learning Models Are Not Yet Secure Against Black-box Attacks
Conference on Computer and Communications Security (CCS), 2023
Ryan Feng
Ashish Hooda
Neal Mangaokar
Kassem Fawaz
S. Jha
Atul Prakash
AAML
283
14
0
11 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information
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LianLi Gao
Qilong Zhang
Chaoqun Li
JingKuan Song
Shuaiqi Jing
AAML
178
3
0
10 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples
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Hao Wu
Haihua Wang
Jiawei Zhang
X. Luo
Bin Ma
AAML
166
1
0
08 Mar 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration
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Juanjuan Weng
Zhiming Luo
Zhun Zhong
Shaozi Li
Andrii Zadaianchuk
AAML
190
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Aviv Segev
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108
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Cyber Vaccine for Deepfake Immunity
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Ching-Chun Chang
H. Nguyen
Junichi Yamagishi
Isao Echizen
213
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Improving Model Generalization by On-manifold Adversarial Augmentation in the Frequency Domain
Journal of Visual Communication and Image Representation (JVCIR), 2023
Chang-rui Liu
Wenzhao Xiang
Yuan He
H. Xue
Shibao Zheng
Hang Su
218
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A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking
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Yu Xie
Yinpeng Dong
Wenzhao Xiang
Xiaohu Yang
Hang Su
Junyi Zhu
YueFeng Chen
Yuan He
H. Xue
Shibao Zheng
OOD
VLM
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329
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Bingyi Lu
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Tao Zhang
Huilin Xiong
235
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Keji Han
Yao Ge
Wei Ji
Yun Li
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202
2
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International Conference on Learning Representations (ICLR), 2023
Ido Galil
Mohammed Dabbah
Ran El-Yaniv
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283
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PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
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Shicheng Cui
Yun Li
Jia Xu
Fu Xiao
Shouhuai Xu
AAML
292
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Jose Such
AAML
396
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Y. Qu
Michael Backes
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228
55
0
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Dazhi Zhang
Yao Li
Zhichang Guo
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200
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Masking and Mixing Adversarial Training
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Hiroki Adachi
Tsubasa Hirakawa
Takayoshi Yamashita
H. Fujiyoshi
Yasunori Ishii
Kazuki Kozuka
AAML
106
1
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16 Feb 2023
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