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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
Transferable Learned Image Compression-Resistant Adversarial Perturbations
Yang Sui
Zhuohang Li
Ding Ding
Xiang Pan
Xiaozhong Xu
Shan Liu
Zhenzhong Chen
AAML
152
0
0
06 Jan 2024
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization
European Conference on Computer Vision (ECCV), 2024
Xixu Hu
Runkai Zheng
Yongfeng Zhang
Cheuk Hang Leung
Qi Wu
Xing Xie
283
5
0
02 Jan 2024
Explainability-Driven Leaf Disease Classification Using Adversarial Training and Knowledge Distillation
International Conference on Agents and Artificial Intelligence (ICAART), 2023
Sebastian-Vasile Echim
Iulian-Marius Taiatu
Dumitru-Clementin Cercel
Florin-Catalin Pop
174
1
0
30 Dec 2023
Attack Tree Analysis for Adversarial Evasion Attacks
Yuki Yamaguchi
Toshiaki Aoki
AAML
231
0
0
28 Dec 2023
Adversarial Attacks on Image Classification Models: Analysis and Defense
Jaydip Sen
Abhiraj Sen
Ananda Chatterjee
AAML
161
6
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28 Dec 2023
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Janvi Thakkar
Giulio Zizzo
S. Maffeis
AAML
70
3
0
21 Dec 2023
Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual Adversarial Examples
Ruichu Cai
Yuxuan Zhu
Jie Qiao
Zefeng Liang
Furui Liu
Zhifeng Hao
CML
383
5
0
21 Dec 2023
ARBiBench: Benchmarking Adversarial Robustness of Binarized Neural Networks
Peng Zhao
Jiehua Zhang
Bowen Peng
Longguang Wang
Yingmei Wei
Yu Liu
Li Liu
AAML
338
2
0
21 Dec 2023
LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate
Tao Wu
Tie Luo
D. C. Wunsch
243
7
0
20 Dec 2023
The Ultimate Combo: Boosting Adversarial Example Transferability by Composing Data Augmentations
Zebin Yun
Achi-Or Weingarten
Eyal Ronen
Mahmood Sharif
214
2
0
18 Dec 2023
Continual Adversarial Defense
Qian Wang
Yaoyao Liu
Hefei Ling
Yingwei Li
Qihao Liu
Ping Li
AAML
682
5
0
15 Dec 2023
Defenses in Adversarial Machine Learning: A Survey
Baoyuan Wu
Shaokui Wei
Mingli Zhu
Meixi Zheng
Zihao Zhu
Ruotong Wang
Hongrui Chen
Danni Yuan
Li Liu
Qingshan Liu
AAML
306
22
0
13 Dec 2023
DTA: Distribution Transform-based Attack for Query-Limited Scenario
Renyang Liu
Wei Zhou
Xin Jin
Song Gao
Yuanyu Wang
Ruxin Wang
264
0
0
12 Dec 2023
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training
Computer Vision and Pattern Recognition (CVPR), 2023
Qian Li
Yuxiao Hu
Yinpeng Dong
Dong-juan Zhang
Yuntian Chen
AAML
182
5
0
12 Dec 2023
Towards Transferable Adversarial Attacks with Centralized Perturbation
Shangbo Wu
Yu-an Tan
Yajie Wang
Ruinan Ma
Wencong Ma
Yuan-zhang Li
AAML
191
13
0
11 Dec 2023
A Red Teaming Framework for Securing AI in Maritime Autonomous Systems
Applied Artificial Intelligence (AAI), 2023
Mathew J. Walter
Aaron Barrett
Kimberly Tam
290
12
0
08 Dec 2023
A Simple Framework to Enhance the Adversarial Robustness of Deep Learning-based Intrusion Detection System
Computers & security (CS), 2023
Xinwei Yuan
Shu Han
Wei Huang
Hongliang Ye
Xianglong Kong
Fan Zhang
AAML
192
48
0
06 Dec 2023
Generating Visually Realistic Adversarial Patch
Xiaosen Wang
Kunyu Wang
AAML
207
1
0
05 Dec 2023
Adversarial Medical Image with Hierarchical Feature Hiding
IEEE Transactions on Medical Imaging (TMI), 2023
Qingsong Yao
Zecheng He
Yuexiang Li
Yi Lin
Kai Ma
Yefeng Zheng
S. Kevin Zhou
MedIm
AAML
274
8
0
04 Dec 2023
Improving the Robustness of Quantized Deep Neural Networks to White-Box Attacks using Stochastic Quantization and Information-Theoretic Ensemble Training
Saurabh Farkya
Aswin Raghavan
Avi Ziskind
257
0
0
30 Nov 2023
Rethinking Mixup for Improving the Adversarial Transferability
Xiaosen Wang
Zeyuan Yin
AAML
255
3
0
28 Nov 2023
Mixing Classifiers to Alleviate the Accuracy-Robustness Trade-Off
Conference on Learning for Dynamics & Control (L4DC), 2023
Yatong Bai
Brendon G. Anderson
Somayeh Sojoudi
AAML
288
2
0
26 Nov 2023
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
441
7
0
20 Nov 2023
Improving Adversarial Transferability by Stable Diffusion
Jiayang Liu
Siyu Zhu
Yaning Tan
Jie Zhang
Han Fang
Weiming Zhang
Ee-Chien Chang
AAML
DiffM
165
15
0
18 Nov 2023
Towards Robust and Accurate Visual Prompting
Qi Li
Liangzhi Li
Zhouqiang Jiang
Bowen Wang
VPVLM
VLM
169
5
0
18 Nov 2023
Adversarially Robust Spiking Neural Networks Through Conversion
Ozan Özdenizci
Robert Legenstein
AAML
364
15
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15 Nov 2023
Alignment is not sufficient to prevent large language models from generating harmful information: A psychoanalytic perspective
Zi Yin
Wei Ding
Jia Liu
229
3
0
14 Nov 2023
Towards Improving Robustness Against Common Corruptions in Object Detectors Using Adversarial Contrastive Learning
Shashank Kotyan
Danilo Vasconcellos Vargas
AAML
207
0
0
14 Nov 2023
Flatness-aware Adversarial Attack
Neural Information Processing Systems (NeurIPS), 2023
Mingyuan Fan
Xiaodan Li
Cen Chen
Yinggui Wang
AAML
213
0
0
10 Nov 2023
Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
Neural Information Processing Systems (NeurIPS), 2023
Siming Lan
Rui Zhang
Qi Yi
Jiaming Guo
Shaohui Peng
...
Zidong Du
Xingui Hu
Xishan Zhang
Ling Li
Yunji Chen
291
15
0
02 Nov 2023
LFAA: Crafting Transferable Targeted Adversarial Examples with Low-Frequency Perturbations
European Conference on Artificial Intelligence (ECAI), 2023
Kunyu Wang
Juluan Shi
Wenxuan Wang
AAML
306
7
0
31 Oct 2023
Exploring Geometry of Blind Spots in Vision Models
Neural Information Processing Systems (NeurIPS), 2023
S. Balasubramanian
Gaurang Sriramanan
Vinu Sankar Sadasivan
Soheil Feizi
AAML
222
2
0
30 Oct 2023
Blacksmith: Fast Adversarial Training of Vision Transformers via a Mixture of Single-step and Multi-step Methods
Mahdi Salmani
Alireza Dehghanpour Farashah
Mohammad Azizmalayeri
Mahdi Amiri
Navid Eslami
M. T. Manzuri
M. Rohban
AAML
166
1
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29 Oct 2023
Understanding and Improving Ensemble Adversarial Defense
Neural Information Processing Systems (NeurIPS), 2023
Yian Deng
Tingting Mu
AAML
322
28
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27 Oct 2023
Artifact-Robust Graph-Based Learning in Digital Pathology
Saba Heidari Gheshlaghi
Milan Aryal
Nasim Yahyasoltani
Masoud Ganji
OOD
324
0
0
27 Oct 2023
PubDef: Defending Against Transfer Attacks From Public Models
International Conference on Learning Representations (ICLR), 2023
Chawin Sitawarin
Jaewon Chang
David Huang
Wesson Altoyan
David Wagner
AAML
300
9
0
26 Oct 2023
Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks
IEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023
Yang Liu
Jianshu Li
Jindong Gu
Yang Bai
Xiaochun Cao
AAML
231
14
0
24 Oct 2023
IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks
International Conference on Learning Representations (ICLR), 2023
Yue Cao
Tianlin Li
Xiaofeng Cao
Ivor Tsang
Yang Liu
Qing Guo
AAML
262
4
0
18 Oct 2023
Quantifying Assistive Robustness Via the Natural-Adversarial Frontier
Conference on Robot Learning (CoRL), 2023
Jerry Zhi-Yang He
Zackory M. Erickson
Daniel S. Brown
Anca Dragan
AAML
235
1
0
16 Oct 2023
DANAA: Towards transferable attacks with double adversarial neuron attribution
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Zhibo Jin
Zhiyu Zhu
Xinyi Wang
Jiayu Zhang
Jun Shen
Huaming Chen
AAML
197
11
0
16 Oct 2023
Towards Deep Learning Models Resistant to Transfer-based Adversarial Attacks via Data-centric Robust Learning
Yulong Yang
Chenhao Lin
Xiang Ji
Qiwei Tian
Qian Li
Hongshan Yang
Zhibo Wang
Chao Shen
219
7
0
15 Oct 2023
Is Certifying
ℓ
p
\ell_p
ℓ
p
Robustness Still Worthwhile?
Ravi Mangal
Klas Leino
Zifan Wang
Kai Hu
Weicheng Yu
Corina S. Pasareanu
Anupam Datta
Matt Fredrikson
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OOD
250
1
0
13 Oct 2023
PAC-Bayesian Spectrally-Normalized Bounds for Adversarially Robust Generalization
Neural Information Processing Systems (NeurIPS), 2023
Jiancong Xiao
Tian Ding
Zhimin Luo
AAML
231
9
0
09 Oct 2023
Robustness-enhanced Uplift Modeling with Adversarial Feature Desensitization
Industrial Conference on Data Mining (IDM), 2023
Zexu Sun
Bowei He
Ming Ma
Jiakai Tang
Yuchen Wang
Chen Ma
Dugang Liu
308
6
0
07 Oct 2023
Generating Less Certain Adversarial Examples Improves Robust Generalization
Minxing Zhang
Michael Backes
Xiao Zhang
AAML
553
1
0
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OMG-ATTACK: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks
Ofir Bar Tal
Adi Haviv
Amit H. Bermano
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176
0
0
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Untargeted White-box Adversarial Attack with Heuristic Defence Methods in Real-time Deep Learning based Network Intrusion Detection System
Computer Communications (Comput. Commun.), 2023
Khushnaseeb Roshan
Aasim Zafar
Sheikh Burhan Ul Haque
AAML
374
60
0
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Splitting the Difference on Adversarial Training
USENIX Security Symposium (USENIX Security), 2023
Matan Levi
A. Kontorovich
236
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0
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A Survey of Robustness and Safety of 2D and 3D Deep Learning Models Against Adversarial Attacks
ACM Computing Surveys (ACM Comput. Surv.), 2023
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Bin Xie
Songtao Guo
Yuanyuan Yang
Bin Xiao
AAML
260
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Certified Robustness via Dynamic Margin Maximization and Improved Lipschitz Regularization
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Mahyar Fazlyab
Taha Entesari
Aniket Roy
Ramalingam Chellappa
AAML
690
21
0
29 Sep 2023
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