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Adversarial Machine Learning at Scale

4 November 2016

Papers citing "Adversarial Machine Learning at Scale"

50 / 1,610 papers shown

Title
Improving Adversarial Transferability via Intermediate-level Perturbation Decay Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 81 22 0 26 Apr 2023
Evaluating Adversarial Robustness on Document Image Classification Timothée Fronteau Arnaud Paran A. Shabou AAML 85 3 0 24 Apr 2023
Detecting Adversarial Faces Using Only Real Face Self-Perturbations Qian Wang Yongqin Xian H. Ling Jinyuan Zhang Xiaorui Lin Ping Li Jiazhong Chen Ning Yu AAML 65 9 0 22 Apr 2023
MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion Zilong Lin Zhengyi Li Xiaojing Liao Wenyuan Xu Xiaozhong Liu AAML 58 10 0 22 Apr 2023
RoCOCO: Robustness Benchmark of MS-COCO to Stress-test Image-Text Matching Models Seulki Park Daeho Um Hajung Yoon Sanghyuk Chun Sangdoo Yun Hawook Jeong 95 3 0 21 Apr 2023
OOD-CV-v2: An extended Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images Bingchen Zhao Jiahao Wang Wufei Ma Artur Jesslen Si-Jia Yang Shaozuo Yu O. Zendel Christian Theobalt Alan Yuille Adam Kortylewski 95 10 0 17 Apr 2023
Cross-Entropy Loss Functions: Theoretical Analysis and Applications Anqi Mao M. Mohri Yutao Zhong AAML 123 334 0 14 Apr 2023
Uncertainty-Aware Vehicle Energy Efficiency Prediction using an Ensemble of Neural Networks Jihed Khiari Cristina Olaverri-Monreal 60 2 0 14 Apr 2023
Understanding Overfitting in Adversarial Training via Kernel Regression Teng Zhang Kang Li 63 2 0 13 Apr 2023
Certifiable Black-Box Attacks with Randomized Adversarial Examples: Breaking Defenses with Provable Confidence Hanbin Hong Xinyu Zhang Binghui Wang Zhongjie Ba Yuan Hong AAML 81 3 0 10 Apr 2023
Exploring the Connection between Robust and Generative Models Senad Beadini I. Masi AAML 80 2 0 08 Apr 2023
Robust Deep Learning Models Against Semantic-Preserving Adversarial Attack Dashan Gao Yunce Zhao Yinghua Yao Zeqi Zhang Bifei Mao Xin Yao AAML 66 0 0 08 Apr 2023
A Certified Radius-Guided Attack Framework to Image Segmentation Models Wenjie Qu Youqi Li Binghui Wang AAML 59 5 0 05 Apr 2023
Provable Robustness for Streaming Models with a Sliding Window Aounon Kumar Vinu Sankar Sadasivan Soheil Feizi OOD AAML AI4TS 67 1 0 28 Mar 2023
Denoising Autoencoder-based Defensive Distillation as an Adversarial Robustness Algorithm Bakary Badjie José Cecílio António Casimiro AAML 62 3 0 28 Mar 2023
Test-time Detection and Repair of Adversarial Samples via Masked Autoencoder Yun-Yun Tsai Ju-Chin Chao Albert Wen Zhaoyuan Yang Chengzhi Mao Tapan Shah Junfeng Yang AAML 68 1 0 22 Mar 2023
Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval Xunguang Wang Jiawang Bai Xin-Chao Xu Xuelong Li AAML 67 1 0 22 Mar 2023
Distribution-restrained Softmax Loss for the Model Robustness Hao Wang Chen Li Jinzhe Jiang Xin Zhang Yaqian Zhao Weifeng Gong OOD 97 2 0 22 Mar 2023
Information-containing Adversarial Perturbation for Combating Facial Manipulation Systems Yao Zhu YueFeng Chen Xiaodan Li Rong Zhang Xiang Tian Bo Zheng Yao-wu Chen AAML 104 11 0 21 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 102 11 0 17 Mar 2023
Rethinking Model Ensemble in Transfer-based Adversarial Attacks Huanran Chen Yichi Zhang Yinpeng Dong Xiao Yang Hang Su Junyi Zhu AAML 113 71 0 16 Mar 2023
AdPE: Adversarial Positional Embeddings for Pretraining Vision Transformers via MAE+ Tianlin Li Ying Wang Ziwei Xuan Guo-Jun Qi ViT 75 3 0 14 Mar 2023
Improving the Robustness of Deep Convolutional Neural Networks Through Feature Learning Jin Ding Jie-Chao Zhao Yongyang Sun Ping Tan Ji-en Ma You-tong Fang AAML 83 1 0 11 Mar 2023
Adversarial Attacks and Defenses in Machine Learning-Powered Networks: A Contemporary Survey Yulong Wang Tong Sun Shenghong Li Xinnan Yuan W. Ni Ekram Hossain H. Vincent Poor AAML 107 20 0 11 Mar 2023
Do we need entire training data for adversarial training? Vipul Gupta Apurva Narayan AAML 70 1 0 10 Mar 2023
Boosting Adversarial Attacks by Leveraging Decision Boundary Information Boheng Zeng LianLi Gao Qilong Zhang Chaoqun Li JingKuan Song Shuaiqi Jing AAML 119 2 0 10 Mar 2023
Aux-Drop: Handling Haphazard Inputs in Online Learning Using Auxiliary Dropouts Rohit Agarwal D. K. Gupta Alexander Horsch Dilip K. Prasad 106 5 0 09 Mar 2023
Immune Defense: A Novel Adversarial Defense Mechanism for Preventing the Generation of Adversarial Examples Jinwei Wang Hao Wu Haihua Wang Jiawei Zhang X. Luo Bin Ma AAML 61 0 0 08 Mar 2023
Logit Margin Matters: Improving Transferable Targeted Adversarial Attack by Logit Calibration Juanjuan Weng Zhiming Luo Zhun Zhong Shaozi Li N. Sebe AAML 81 19 0 07 Mar 2023
A Comparison of Methods for Neural Network Aggregation John Pomerat Aviv Segev OOD FedML 41 0 0 06 Mar 2023
The Double-Edged Sword of Implicit Bias: Generalization vs. Robustness in ReLU Networks Spencer Frei Gal Vardi Peter L. Bartlett Nathan Srebro 87 17 0 02 Mar 2023
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu Jiangchao Yao Tongliang Liu Quanming Yao Jianliang Xu Bo Han FedML 76 5 0 01 Mar 2023
A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking Chang-Shu Liu Yinpeng Dong Wenzhao Xiang Xiaohu Yang Hang Su Junyi Zhu YueFeng Chen Yuan He H. Xue Shibao Zheng OOD VLM AAML 115 85 0 28 Feb 2023
Boosting Adversarial Transferability using Dynamic Cues Muzammal Naseer Ahmad A Mahmood Salman Khan Fahad Shahbaz Khan AAML 68 6 0 23 Feb 2023
Some Fundamental Aspects about Lipschitz Continuity of Neural Networks Grigory Khromov Sidak Pal Singh 168 8 0 21 Feb 2023
Interpretable Spectrum Transformation Attacks to Speaker Recognition Jiadi Yao H. Luo Xiao-Lei Zhang AAML 61 2 0 21 Feb 2023
On the Role of Randomization in Adversarially Robust Classification Lucas Gnecco-Heredia Y. Chevaleyre Benjamin Négrevergne Laurent Meunier Muni Sreenivas Pydi AAML 67 5 0 14 Feb 2023
Mutation-Based Adversarial Attacks on Neural Text Detectors G. Liang Jesus Guerrero I. Alsmadi DeLMO 74 9 0 11 Feb 2023
Making Substitute Models More Bayesian Can Enhance Transferability of Adversarial Examples Qizhang Li Yiwen Guo W. Zuo Hao Chen AAML 127 37 0 10 Feb 2023
GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks Salah Ghamizi Jingfeng Zhang Maxime Cordy Mike Papadakis Masashi Sugiyama Yves Le Traon AAML 80 3 0 06 Feb 2023
Human-Imperceptible Identification with Learnable Lensless Imaging Thuong Nguyen Canh Trung Thanh Ngo Hajime Nagahara 70 4 0 04 Feb 2023
CosPGD: an efficient white-box adversarial attack for pixel-wise prediction tasks Shashank Agnihotri Steffen Jung Margret Keuper AAML 95 23 0 04 Feb 2023
Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics Jiacheng Zhu Jielin Qiu Aritra Guha Zhuolin Yang X. Nguyen Yue Liu Ding Zhao OOD 110 2 0 04 Feb 2023
Asymmetric Certified Robustness via Feature-Convex Neural Networks Samuel Pfrommer Brendon G. Anderson Julien Piet Somayeh Sojoudi AAML 93 8 0 03 Feb 2023
Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels Simone Bombari Shayan Kiyani Marco Mondelli AAML 141 10 0 03 Feb 2023
Generalized Uncertainty of Deep Neural Networks: Taxonomy and Applications Chengyu Dong OOD UQCV BDL AI4CE 130 0 0 02 Feb 2023
Identifying Adversarially Attackable and Robust Samples Vyas Raina Mark Gales AAML 79 3 0 30 Jan 2023
Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing Yatong Bai Brendon G. Anderson Aerin Kim Somayeh Sojoudi AAML 129 19 0 29 Jan 2023
Mitigating Adversarial Effects of False Data Injection Attacks in Power Grid Farhin Farhad Riya Shahinul Hoque Jinyuan Stella Sun Jiangnan Li Hairong Qi Hairong Qi AAML AI4CE 116 0 0 29 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 72 4 0 18 Jan 2023