Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Dan Boneh

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

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Title
Reducing Adversarial Training Cost with Gradient Approximation Huihui Gong AAML 22 0 0 18 Sep 2023
Mitigating Adversarial Attacks in Federated Learning with Trusted Execution Environments Simon Queyrut V. Schiavoni Pascal Felber AAML FedML 32 6 0 13 Sep 2023
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 20 0 0 05 Sep 2023
Robust and Efficient Interference Neural Networks for Defending Against Adversarial Attacks in ImageNet Yunuo Xiong Shujuan Liu H. Xiong AAML 35 0 0 03 Sep 2023
Towards Certified Probabilistic Robustness with High Accuracy Ruihan Zhang Peixin Zhang Jun Sun AAML 27 0 0 02 Sep 2023
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 27 61 0 30 Aug 2023
Adversarial Attacks on Foundational Vision Models Nathan Inkawhich Gwendolyn McDonald R. Luley VLM 38 12 0 28 Aug 2023
On-Manifold Projected Gradient Descent Aaron Mahler Tyrus Berry Thomas Stephens Harbir Antil Michael Merritt Jeanie Schreiber Ioannis G. Kevrekidis AAML 18 0 0 23 Aug 2023
Revisiting and Exploring Efficient Fast Adversarial Training via LAW: Lipschitz Regularization and Auto Weight Averaging Xiaojun Jia YueFeng Chen Xiaofeng Mao Ranjie Duan Jindong Gu Rong Zhang H. Xue Xiaochun Cao AAML 19 9 0 22 Aug 2023
Enhancing Adversarial Attacks: The Similar Target Method Shuo Zhang Ziruo Wang Zikai Zhou Huanran Chen AAML 54 1 0 21 Aug 2023
Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer Zhijin Ge Fanhua Shang Hongying Liu Yuanyuan Liu Liang Wan Wei Feng Xiaosen Wang AAML 38 19 0 21 Aug 2023
Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting Qidong Huang Xiaoyi Dong Dongdong Chen Yinpeng Chen Lu Yuan Gang Hua Weiming Zhang Neng H. Yu AAML 30 9 0 20 Aug 2023
Boosting Adversarial Transferability by Block Shuffle and Rotation Kunyu Wang Xu He Wenxuan Wang Xiaosen Wang AAML 31 36 0 20 Aug 2023
HoSNN: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng Peng Li AAML 34 3 0 20 Aug 2023
Backpropagation Path Search On Adversarial Transferability Zhuoer Xu Zhangxuan Gu Jianping Zhang Shiwen Cui Changhua Meng Weiqiang Wang AAML 38 5 0 15 Aug 2023
Robustified ANNs Reveal Wormholes Between Human Category Percepts Guy Gaziv Michael J. Lee J. DiCarlo AAML 24 6 0 14 Aug 2023
SoK: Realistic Adversarial Attacks and Defenses for Intelligent Network Intrusion Detection João Vitorino Isabel Praça Eva Maia AAML 30 22 0 13 Aug 2023
Not So Robust After All: Evaluating the Robustness of Deep Neural Networks to Unseen Adversarial Attacks R. Garaev Bader Rasheed Adil Mehmood Khan AAML OOD 30 1 0 12 Aug 2023
Robustifying Point Cloud Networks by Refocusing Meir Yossef Levi Guy Gilboa 3DPC 29 4 0 10 Aug 2023
SegMatch: A semi-supervised learning method for surgical instrument segmentation Meng Wei C. Budd Luis C. García-Peraza-Herrera R. Dorent Miaojing Shi Tom Kamiel Magda Vercauteren 18 5 0 09 Aug 2023
Pelta: Shielding Transformers to Mitigate Evasion Attacks in Federated Learning Simon Queyrut Yérom-David Bromberg V. Schiavoni FedML AAML 9 1 0 08 Aug 2023
A reading survey on adversarial machine learning: Adversarial attacks and their understanding Shashank Kotyan AAML 25 5 0 07 Aug 2023
An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability Bin Chen Jia-Li Yin Shukai Chen Bo-Hao Chen Ximeng Liu AAML 27 40 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 17 1 0 04 Aug 2023
VertexSerum: Poisoning Graph Neural Networks for Link Inference Ruyi Ding Shijin Duan Xiaolin Xu Yunsi Fei AAML GNN 51 4 0 02 Aug 2023
A Novel Deep Learning based Model to Defend Network Intrusion Detection System against Adversarial Attacks Khushnaseeb Roshan Aasim Zafar Shiekh Burhan Ul Haque AAML 8 8 0 31 Jul 2023
Transferable Attack for Semantic Segmentation Mengqi He Jing Zhang Zhaoyuan Yang Mingyi He Nick Barnes Yuchao Dai 36 2 0 31 Jul 2023
Improving Viewpoint Robustness for Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei 17 5 0 21 Jul 2023
Discretization-based ensemble model for robust learning in IoT Anahita Namvar Chandra Thapa S. Kanhere AAML OOD 21 1 0 18 Jul 2023
Towards Viewpoint-Invariant Visual Recognition via Adversarial Training Shouwei Ruan Yinpeng Dong Han Su Jianteng Peng Ning Chen Xingxing Wei OOD 35 9 0 16 Jul 2023
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World Donghua Wang Wen Yao Tingsong Jiang Chong Li Xiaoqian Chen AAML 17 28 0 14 Jul 2023
ATWM: Defense against adversarial malware based on adversarial training Kunkun Li Fan Zhang Wei Guo AAML 28 0 0 11 Jul 2023
GNP Attack: Transferable Adversarial Examples via Gradient Norm Penalty Tao Wu Tie-Mei Luo D. Wunsch AAML 30 9 0 09 Jul 2023
Probabilistic and Semantic Descriptions of Image Manifolds and Their Applications Peter Tu Zhaoyuan Yang Richard I. Hartley Zhiwei Xu Jing Zhang Yiwei Fu Dylan Campbell Jaskirat Singh Tianyu Wang DiffM 30 2 0 06 Jul 2023
Adversarial Attacks on Image Classification Models: FGSM and Patch Attacks and their Impact Jaydip Sen S. Dasgupta AAML SILM 20 9 0 05 Jul 2023
Query-Efficient Decision-based Black-Box Patch Attack Zhaoyu Chen Bo-wen Li Shuang Wu Shouhong Ding Wenqiang Zhang AAML 19 33 0 02 Jul 2023
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey Hanieh Naderi Ivan V. Bajić 3DPC 31 7 0 01 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency Yan Wang Yuhang Li Ruihao Gong Aishan Liu Yanfei Wang ... Yongqiang Yao Yunchen Zhang Tianzi Xiao F. Yu Xianglong Liu AAML 32 0 0 01 Jul 2023
Boosting Adversarial Transferability with Learnable Patch-wise Masks Xingxing Wei Shiji Zhao AAML 19 10 0 28 Jun 2023
Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets Yimu Wang Dinghuai Zhang Yihan Wu Heng Huang Hongyang R. Zhang AAML 23 1 0 27 Jun 2023
Your Attack Is Too DUMB: Formalizing Attacker Scenarios for Adversarial Transferability Marco Alecci Mauro Conti Francesco Marchiori L. Martinelli Luca Pajola AAML 24 7 0 27 Jun 2023
Rethinking the Backward Propagation for Adversarial Transferability Xiaosen Wang Kangheng Tong Kun He AAML SILM 27 25 0 22 Jun 2023
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 29 3 0 22 Jun 2023
Wasserstein distributional robustness of neural networks Xingjian Bai Guangyi He Yifan Jiang J. Obłój OOD AAML 21 6 0 16 Jun 2023
Augment then Smooth: Reconciling Differential Privacy with Certified Robustness Jiapeng Wu Atiyeh Ashari Ghomi David Glukhov Jesse C. Cresswell Franziska Boenisch Nicolas Papernot AAML 37 1 0 14 Jun 2023
Boosting Adversarial Transferability by Achieving Flat Local Maxima Zhijin Ge Hongying Liu Xiaosen Wang Fanhua Shang Yuanyuan Liu AAML 11 40 0 08 Jun 2023
Enhance Diffusion to Improve Robust Generalization Jianhui Sun Sanchit Sinha Aidong Zhang 32 4 0 05 Jun 2023
Towards Black-box Adversarial Example Detection: A Data Reconstruction-based Method Yifei Gao Zhi Lin Yunfan Yang Jitao Sang AAML 31 4 0 03 Jun 2023
Adversarial Attack Based on Prediction-Correction Chen Wan Fangjun Huang AAML 19 4 0 02 Jun 2023
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review Mathias Lundteigen Mohus Jinyue Li AAML 30 1 0 01 Jun 2023