Ensemble Adversarial Training: Attacks and Defenses

19 May 2017

Dan Boneh

Papers citing "Ensemble Adversarial Training: Attacks and Defenses"

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Title
Spectral regularization for adversarially-robust representation learning Sheng Yang Jacob A. Zavatone-Veth Cengiz Pehlevan AAML OOD 49 0 0 27 May 2024
Exploiting the Layered Intrinsic Dimensionality of Deep Models for Practical Adversarial Training Enes Altinisik Safa Messaoud Husrev Taha Sencar Hassan Sajjad Sanjay Chawla AAML 48 0 0 27 May 2024
The Uncanny Valley: Exploring Adversarial Robustness from a Flatness Perspective Nils Philipp Walter Linara Adilova Jilles Vreeken Michael Kamp AAML 48 2 0 27 May 2024
Enhancing Adversarial Transferability Through Neighborhood Conditional Sampling Chunlin Qiu Yiheng Duan Lingchen Zhao Qian Wang AAML 40 2 0 25 May 2024
Defensive Unlearning with Adversarial Training for Robust Concept Erasure in Diffusion Models Yimeng Zhang Xin Chen Jinghan Jia Yihua Zhang Chongyu Fan Jiancheng Liu Mingyi Hong Ke Ding Sijia Liu DiffM 38 52 0 24 May 2024
Learning to Transform Dynamically for Better Adversarial Transferability Rongyi Zhu Zeliang Zhang Susan Liang Zhuo Liu Chenliang Xu AAML 39 14 0 23 May 2024
Hierarchical Selective Classification Shani Goren Ido Galil Ran El-Yaniv BDL 63 1 0 19 May 2024
Improving Transferable Targeted Adversarial Attack via Normalized Logit Calibration and Truncated Feature Mixing Juanjuan Weng Zhiming Luo Shaozi Li AAML 36 0 0 10 May 2024
Towards Accurate and Robust Architectures via Neural Architecture Search Yuwei Ou Yuqi Feng Yanan Sun AAML 26 1 0 09 May 2024
Is ReLU Adversarially Robust? Korn Sooksatra Greg Hamerly Pablo Rivas 21 3 0 06 May 2024
Exploring Frequencies via Feature Mixing and Meta-Learning for Improving Adversarial Transferability Juanjuan Weng Zhiming Luo Shaozi Li AAML 39 1 0 06 May 2024
A Survey of Neural Network Robustness Assessment in Image Recognition Jie Wang Jun Ai Minyan Lu Haoran Su Dan Yu Yutao Zhang Junda Zhu Jingyu Liu AAML 30 3 0 12 Apr 2024
Practical Region-level Attack against Segment Anything Models Yifan Shen Zhengyuan Li Gang Wang VLM 40 9 0 12 Apr 2024
Persistent Classification: A New Approach to Stability of Data and Adversarial Examples Brian Bell Michael Geyer David Glickenstein Keaton Hamm C. Scheidegger Amanda S. Fernandez Juston Moore AAML 44 0 0 11 Apr 2024
LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks Jianlang Chen Xuhong Ren Qing Guo Felix Juefei Xu Di Lin Wei Feng Lei Ma Jianjun Zhao 44 1 0 09 Apr 2024
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge Miguel Costa Sandro Pinto AAML 35 0 0 08 Apr 2024
Certified PEFTSmoothing: Parameter-Efficient Fine-Tuning with Randomized Smoothing Chengyan Fu Wenjie Wang AAML 32 0 0 08 Apr 2024
CANEDERLI: On The Impact of Adversarial Training and Transferability on CAN Intrusion Detection Systems Francesco Marchiori Mauro Conti AAML 24 0 0 06 Apr 2024
Machine Learning Robustness: A Primer Houssem Ben Braiek Foutse Khomh AAML OOD 36 5 0 01 Apr 2024
FaultGuard: A Generative Approach to Resilient Fault Prediction in Smart Electrical Grids Emad Efatinasab Francesco Marchiori Alessandro Brighente M. Rampazzo Mauro Conti AAML 41 3 0 26 Mar 2024
Ensemble Adversarial Defense via Integration of Multiple Dispersed Low Curvature Models Kaikang Zhao Xi Chen Wei Huang Liuxin Ding Xianglong Kong Fan Zhang AAML 41 1 0 25 Mar 2024
Adversary-Robust Graph-Based Learning of WSIs Saba Heidari Gheshlaghi Milan Aryal Nasim Yahyasoltani Masoud Ganji OOD AAML 40 0 0 21 Mar 2024
Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization Yujia Liu Chenxi Yang Dingquan Li Jianhao Ding Tingting Jiang 35 3 0 18 Mar 2024
Towards Adversarially Robust Dataset Distillation by Curvature Regularization Eric Xue Yijiang Li Haoyang Liu Yifan Shen Haohan Wang Haohan Wang DD 61 8 0 15 Mar 2024
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency Hallgrimur Thorsteinsson Valdemar J Henriksen Tong Chen Raghavendra Selvan AAML 45 1 0 14 Mar 2024
Improving deep learning with prior knowledge and cognitive models: A survey on enhancing explainability, adversarial robustness and zero-shot learning F. Mumuni A. Mumuni AAML 37 5 0 11 Mar 2024
Are Classification Robustness and Explanation Robustness Really Strongly Correlated? An Analysis Through Input Loss Landscape Tiejin Chen Wenwang Huang Linsey Pang Dongsheng Luo Hua Wei OOD 49 0 0 09 Mar 2024
Enhancing the "Immunity" of Mixture-of-Experts Networks for Adversarial Defense Qiao Han yong huang Xinling Guo Yiteng Zhai Yu Qin Yao Yang AAML 26 1 0 29 Feb 2024
Extreme Miscalibration and the Illusion of Adversarial Robustness Vyas Raina Samson Tan V. Cevher Aditya Rawal Sheng Zha George Karypis AAML 41 2 0 27 Feb 2024
Adversarial Example Soups: Improving Transferability and Stealthiness for Free Bo Yang Hengwei Zhang Jin-dong Wang Yulong Yang Chenhao Lin Chao Shen Zhengyu Zhao SILM AAML 71 2 0 27 Feb 2024
SoK: Analyzing Adversarial Examples: A Framework to Study Adversary Knowledge L. Fenaux Florian Kerschbaum AAML 42 0 0 22 Feb 2024
The AI Security Pyramid of Pain Chris M. Ward Joshua D. Harguess Julia Tao Daniel Christman Paul Spicer Mike Tan 11 1 0 16 Feb 2024
A Random Ensemble of Encrypted Vision Transformers for Adversarially Robust Defense Ryota Iijima Sayaka Shiota Hitoshi Kiya 36 6 0 11 Feb 2024
RAMP: Boosting Adversarial Robustness Against Multiple $l_p$ Perturbations Enyi Jiang Gagandeep Singh AAML 30 1 0 09 Feb 2024
Is Adversarial Training with Compressed Datasets Effective? Tong Chen Raghavendra Selvan AAML 57 0 0 08 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Robust Prompt Optimization for Defending Language Models Against Jailbreaking Attacks Andy Zhou Bo Li Haohan Wang AAML 49 74 0 30 Jan 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization Guang Lin Chao Li Jianhai Zhang Toshihisa Tanaka Qibin Zhao 39 13 0 29 Jan 2024
LESSON: Multi-Label Adversarial False Data Injection Attack for Deep Learning Locational Detection Jiwei Tian Chao Shen Buhong Wang Xiaofang Xia Meng Zhang Chenhao Lin Qian Li 38 36 0 29 Jan 2024
Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training Shruthi Gowda Bahram Zonooz Elahe Arani AAML 31 2 0 26 Jan 2024
A Training-Free Defense Framework for Robust Learned Image Compression Myungseo Song Jinyoung Choi Bohyung Han AAML 24 4 0 22 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 29 3 0 22 Jan 2024
Efficient local linearity regularization to overcome catastrophic overfitting Elias Abad Rocamora Fanghui Liu Grigorios G. Chrysos Pablo Martínez Olmos V. Cevher AAML 32 6 0 21 Jan 2024
CARE: Ensemble Adversarial Robustness Evaluation Against Adaptive Attackers for Security Applications Hangsheng Zhang Jiqiang Liu Jinsong Dong AAML 21 1 0 20 Jan 2024
Explainable and Transferable Adversarial Attack for ML-Based Network Intrusion Detectors Hangsheng Zhang Dongqi Han Yinlong Liu Zhiliang Wang Jiyan Sun Shangyuan Zhuang Jiqiang Liu Jinsong Dong AAML 14 3 0 19 Jan 2024
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks Ping Guo Zhiyuan Yang Xi Lin Qingchuan Zhao Qingfu Zhang AAML 40 4 0 19 Jan 2024
Towards Scalable and Robust Model Versioning Wenxin Ding A. Bhagoji Ben Y. Zhao Haitao Zheng AAML 22 0 0 17 Jan 2024
An Optimal Transport Approach for Computing Adversarial Training Lower Bounds in Multiclass Classification Nicolas García Trillos Matt Jacobs Jakwang Kim Matthew Werenski AAML 51 2 0 17 Jan 2024
Transferable Learned Image Compression-Resistant Adversarial Perturbations Yang Sui Zhuohang Li Ding Ding Xiang Pan Xiaozhong Xu Shan Liu Zhenzhong Chen AAML 23 0 0 06 Jan 2024
SpecFormer: Guarding Vision Transformer Robustness via Maximum Singular Value Penalization Xixu Hu Runkai Zheng Jindong Wang Cheuk Hang Leung Qi Wu Xing Xie 35 1 0 02 Jan 2024