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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
Backdoor Learning for NLP: Recent Advances, Challenges, and Future Research Directions
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Threatening Patch Attacks on Object Detection in Optical Remote Sensing Images
IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2023
Xuxiang Sun
Gong Cheng
Lei Pei
Hongda Li
Junwei Han
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144
44
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13 Feb 2023
TextDefense: Adversarial Text Detection based on Word Importance Entropy
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Xuhong Zhang
S. Ji
Yuwen Pu
Chunpeng Ge
Xing Yang
Yanghe Feng
AAML
101
13
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12 Feb 2023
HateProof: Are Hateful Meme Detection Systems really Robust?
The Web Conference (WWW), 2023
Piush Aggarwal
Pranit Chawla
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Binny Mathew
Torsten Zesch
Animesh Mukherjee
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147
12
0
11 Feb 2023
Better Diffusion Models Further Improve Adversarial Training
International Conference on Machine Learning (ICML), 2023
Zekai Wang
Tianyu Pang
Chao Du
Min Lin
Weiwei Liu
Shuicheng Yan
DiffM
427
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09 Feb 2023
A Minimax Approach Against Multi-Armed Adversarial Attacks Detection
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Marco Romanelli
S. Garg
Pablo Piantanida
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185
0
0
04 Feb 2023
On the Robustness of Randomized Ensembles to Adversarial Perturbations
International Conference on Machine Learning (ICML), 2023
Hassan Dbouk
Naresh R Shanbhag
AAML
317
8
0
02 Feb 2023
Effectiveness of Moving Target Defenses for Adversarial Attacks in ML-based Malware Detection
IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Aqib Rashid
Jose Such
AAML
170
4
0
01 Feb 2023
Adversarial Training of Self-supervised Monocular Depth Estimation against Physical-World Attacks
International Conference on Learning Representations (ICLR), 2023
Zhiyuan Cheng
James Liang
Guanhong Tao
Dongfang Liu
Xiangyu Zhang
257
33
0
31 Jan 2023
Improving Adversarial Transferability with Scheduled Step Size and Dual Example
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Peihan Liu
Xiaosen Wang
Chenliang Xu
AAML
197
4
0
30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing
SIAM Journal on Mathematics of Data Science (SIMODS), 2023
Yatong Bai
Brendon G. Anderson
Aerin Kim
Somayeh Sojoudi
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408
22
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29 Jan 2023
Vertex-based reachability analysis for verifying ReLU deep neural networks
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Eric A. Antonelo
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214
3
0
27 Jan 2023
Single-Trajectory Distributionally Robust Reinforcement Learning
International Conference on Machine Learning (ICML), 2023
Zhipeng Liang
Xiaoteng Ma
Jose H. Blanchet
Jiheng Zhang
Zhengyuan Zhou
OOD
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192
17
0
27 Jan 2023
Adapting Step-size: A Unified Perspective to Analyze and Improve Gradient-based Methods for Adversarial Attacks
Wei Tao
Lei Bao
Long Sheng
Gao-wei Wu
Qing Tao
AAML
206
2
0
27 Jan 2023
RobustPdM: Designing Robust Predictive Maintenance against Adversarial Attacks
Ayesha Siddique
Ripan Kumar Kundu
Gautam Raj Mode
K. A. Hoque
AAML
192
3
0
25 Jan 2023
RNAS-CL: Robust Neural Architecture Search by Cross-Layer Knowledge Distillation
International Journal of Computer Vision (IJCV), 2023
Utkarsh Nath
Yancheng Wang
Yingzhen Yang
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208
4
0
19 Jan 2023
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Kazumasa Miyake
K. Konishi
Y. Oiwa
216
5
0
18 Jan 2023
Adversarial Robust Deep Reinforcement Learning Requires Redefining Robustness
AAAI Conference on Artificial Intelligence (AAAI), 2023
Ezgi Korkmaz
161
34
0
17 Jan 2023
Phase-shifted Adversarial Training
Conference on Uncertainty in Artificial Intelligence (UAI), 2023
Yeachan Kim
Seongyeon Kim
Ihyeok Seo
Bonggun Shin
AAML
OOD
210
0
0
12 Jan 2023
Explainability and Robustness of Deep Visual Classification Models
Jindong Gu
AAML
265
2
0
03 Jan 2023
Guidance Through Surrogate: Towards a Generic Diagnostic Attack
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Muzammal Naseer
Salman Khan
Fatih Porikli
Fahad Shahbaz Khan
AAML
164
1
0
30 Dec 2022
Defense Against Adversarial Attacks on Audio DeepFake Detection
Interspeech (Interspeech), 2022
Piotr Kawa
Marcin Plata
P. Syga
AAML
195
20
0
30 Dec 2022
Differentiable Search of Accurate and Robust Architectures
Yuwei Ou
Xiangning Xie
Shan Gao
Yanan Sun
Kay Chen Tan
Jiancheng Lv
OOD
AAML
219
2
0
28 Dec 2022
A Comprehensive Study of the Robustness for LiDAR-based 3D Object Detectors against Adversarial Attacks
International Journal of Computer Vision (IJCV), 2022
Yifan Zhang
Xianqiang Lyu
Yixuan Yuan
AAML
3DPC
361
44
0
20 Dec 2022
Numerical Stability of DeepGOPlus Inference
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Inés Gonzalez Pepe
Yohan Chatelain
Gregory Kiar
Tristan Glatard
BDL
194
3
0
13 Dec 2022
SRoUDA: Meta Self-training for Robust Unsupervised Domain Adaptation
AAAI Conference on Artificial Intelligence (AAAI), 2022
Wan-Xuan Zhu
Jia-Li Yin
Bo-Hao Chen
Ximeng Liu
162
9
0
12 Dec 2022
DISCO: Adversarial Defense with Local Implicit Functions
Neural Information Processing Systems (NeurIPS), 2022
Chih-Hui Ho
Nuno Vasconcelos
AAML
409
53
0
11 Dec 2022
General Adversarial Defense Against Black-box Attacks via Pixel Level and Feature Level Distribution Alignments
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Hengshuang Zhao
Juil Sock
Jiaya Jia
AAML
160
6
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Understanding and Combating Robust Overfitting via Input Loss Landscape Analysis and Regularization
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Michael W. Spratling
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224
44
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Toward Robust Diagnosis: A Contour Attention Preserving Adversarial Defense for COVID-19 Detection
AAAI Conference on Artificial Intelligence (AAAI), 2022
Kunlan Xiang
Xing Zhang
Jinwen She
Jinpeng Liu
Haohan Wang
Shiqi Deng
Shancheng Jiang
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200
7
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Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors
International Conference on Learning Representations (ICLR), 2022
Sizhe Chen
Geng Yuan
Xinwen Cheng
Yifan Gong
Minghai Qin
Yanzhi Wang
Xiaolin Huang
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226
21
0
22 Nov 2022
Fairness Increases Adversarial Vulnerability
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Keyu Zhu
Ferdinando Fioretto
Pascal Van Hentenryck
218
7
0
21 Nov 2022
Boosting the Transferability of Adversarial Attacks with Global Momentum Initialization
Expert systems with applications (ESWA), 2022
Jiafeng Wang
Zhaoyu Chen
Kaixun Jiang
Dingkang Yang
Lingyi Hong
Pinxue Guo
Yan Wang
Wenqiang Zhang
AAML
253
49
0
21 Nov 2022
Towards Good Practices in Evaluating Transfer Adversarial Attacks
Subrat Kishore Dutta
Hanwei Zhang
Renjue Li
R. Sicre
Laurent Amsaleg
Michael Backes
AAML
334
22
0
17 Nov 2022
Adaptive Federated Minimax Optimization with Lower Complexities
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Feihu Huang
Xinrui Wang
Junyi Li
Songcan Chen
FedML
353
5
0
14 Nov 2022
Robust DNN Surrogate Models with Uncertainty Quantification via Adversarial Training
Lixiang Zhang
Jia Li
AAML
191
0
0
10 Nov 2022
An Adversarial Robustness Perspective on the Topology of Neural Networks
Morgane Goibert
Thomas Ricatte
Elvis Dohmatob
AAML
176
3
0
04 Nov 2022
Adversarial Defense via Neural Oscillation inspired Gradient Masking
Chunming Jiang
Yilei Zhang
AAML
186
4
0
04 Nov 2022
Defending with Errors: Approximate Computing for Robustness of Deep Neural Networks
Amira Guesmi
Ihsen Alouani
Khaled N. Khasawneh
M. Baklouti
T. Frikha
Mohamed Abid
Nael B. Abu-Ghazaleh
AAML
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242
3
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02 Nov 2022
Amplifying Membership Exposure via Data Poisoning
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Yufei Chen
Chao Shen
Yun Shen
Cong Wang
Yang Zhang
AAML
288
42
0
01 Nov 2022
Adversarial Training with Complementary Labels: On the Benefit of Gradually Informative Attacks
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Jianan Zhou
Jianing Zhu
Jingfeng Zhang
Tongliang Liu
Gang Niu
Bo Han
Masashi Sugiyama
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140
11
0
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Scoring Black-Box Models for Adversarial Robustness
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Pranay Reddy Samala
147
0
0
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LP-BFGS attack: An adversarial attack based on the Hessian with limited pixels
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Jiebao Zhang
Wenhua Qian
Ren-qi Nie
Jinde Cao
Dan Xu
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190
8
0
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Causal Information Bottleneck Boosts Adversarial Robustness of Deep Neural Network
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Xi Fang
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Huilin Yin
Wancheng Ge
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179
2
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Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning
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Giovanni Apruzzese
Mauro Conti
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345
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Pratik Vaishnavi
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Amir Rahmati
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170
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Xili Dai
Mingyang Li
Pengyuan Zhai
Shengbang Tong
Xingjian Gao
Shao-Lun Huang
Zhihui Zhu
Chong You
Yi Ma
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195
37
0
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Nash Equilibria and Pitfalls of Adversarial Training in Adversarial Robustness Games
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Maria-Florina Balcan
Rattana Pukdee
Pradeep Ravikumar
Hongyang R. Zhang
AAML
193
12
0
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Scaling Adversarial Training to Large Perturbation Bounds
European Conference on Computer Vision (ECCV), 2022
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Samyak Jain
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R. Venkatesh Babu
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298
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International Conference on Pattern Recognition (ICPR), 2022
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Ngai Wong
MQ
162
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